Snowflake vs Dremio
type: Article
description: Snowflake is a mature, fully managed cloud data platform with broader enterprise adoption and support, while Dremio is a lighter-weight, open-source alternative focused on self-service analytics and lower costs for organizations with data engineering expertise.
language: en-US
date published: 2026-06-23T05:49:06.059Z
date created: 2026-06-23T05:49:06.059Z
date modified: 2026-06-23T05:49:06.600Z
content reference time: 2026-06-23T05:49:06.600Z
author: A Versus B
publisher: A Versus B
about: Snowflake
about: Dremio
abstract: Snowflake is a mature, fully managed cloud data platform with broader enterprise adoption and support, while Dremio is a lighter-weight, open-source alternative focused on self-service analytics and lower costs for organizations with data engineering expertise.
text: Architecture. Starting Price (Monthly). Enterprise Support & SLAs. Query Performance (TPC-DS 100GB). Market Share (2024). Setup Time. Data Format Support
conclusion text: Choose Snowflake if you need enterprise-grade reliability, minimal DevOps overhead, and 24/7 support for mission-critical analytics at scale—the cost premium ($150K-$500K+ annually) is justified for large enterprises. Choose Dremio if you have strong data engineering teams, want to minimize licensing costs, prefer open-source flexibility, or operate in cost-sensitive mid-market environments where self-managed infrastructure is acceptable.
additional property: Starting Monthly Cost
  type: PropertyValue
  value: Snowflake: $2,000-$5,000 | Dremio: N/A
additional property: Setup Time
  type: PropertyValue
  value: Snowflake: 1-3 days | Dremio: N/A
additional property: Query Performance (TPC-DS)
  type: PropertyValue
  value: Snowflake: 15-20 | Dremio: N/A
additional property: ML/AI Integration Score
  type: PropertyValue
  value: Snowflake: 4/10 | Dremio: N/A
additional property: Global Enterprise Customers
  type: PropertyValue
  value: Snowflake: 10,000+ | Dremio: N/A
additional property: Supported Data Formats
  type: PropertyValue
  value: Snowflake: Structured (Parquet, CSV, JSON) | Dremio: N/A
additional property: Data Sharing Standard
  type: PropertyValue
  value: Snowflake: Snowflake Marketplace (proprietary) | Dremio: N/A
additional property: Multi-Language Support
  type: PropertyValue
  value: Snowflake: SQL primarily | Dremio: N/A
additional property: Base Query Cost
  type: PropertyValue
  value: Snowflake: $2-4 per credit | Dremio: N/A
additional property: Supported Cloud Providers
  type: PropertyValue
  value: Snowflake: 3 (AWS, Azure, GCP) | Dremio: N/A
additional property: Setup Time to First Query
  type: PropertyValue
  value: Snowflake: 20-30 minutes | Dremio: N/A
additional property: Maximum Query Timeout
  type: PropertyValue
  value: Snowflake: Limited by warehouse size | Dremio: N/A
additional property: Data Marketplace Size
  type: PropertyValue
  value: Snowflake: 1,000+ datasets | Dremio: N/A
additional property: Concurrent User Support
  type: PropertyValue
  value: Snowflake: Limited by warehouse size, manual tuning | Dremio: N/A
additional property: Annual Customer Growth Rate (2025)
  type: PropertyValue
  value: Snowflake: 22% YoY | Dremio: N/A
additional property: Average Enterprise Contract Value
  type: PropertyValue
  value: Snowflake: $200-500 | Dremio: N/A
additional property: Base Cost per TB (Monthly)
  type: PropertyValue
  value: Snowflake: $4-6 | Dremio: N/A
additional property: Available Cloud Providers
  type: PropertyValue
  value: Snowflake: AWS, Azure, GCP | Dremio: N/A
additional property: Average Query Response Time
  type: PropertyValue
  value: Snowflake: 2-4 seconds | Dremio: N/A
additional property: Data Sharing Capability
  type: PropertyValue
  value: Snowflake: Native, cross-account/cross-cloud | Dremio: N/A
additional property: Compute-Storage Decoupling
  type: PropertyValue
  value: Snowflake: Complete separation | Dremio: N/A
additional property: Zero-Copy Cloning
  type: PropertyValue
  value: Snowflake: Available (instant, free) | Dremio: N/A
additional property: Time to Production (median)
  type: PropertyValue
  value: Snowflake: 1-3 weeks | Dremio: N/A
additional property: Market Share 2026
  type: PropertyValue
  value: Snowflake: 32% | Dremio: N/A
additional property: Query Latency (1 billion rows)
  type: PropertyValue
  value: Snowflake: 30 seconds | Dremio: N/A
additional property: Monthly Cost (100 GB compressed)
  type: PropertyValue
  value: Snowflake: $1,500 | Dremio: N/A
additional property: Setup Time
  type: PropertyValue
  value: Snowflake: 15 minutes | Dremio: N/A
additional property: Ingestion Throughput
  type: PropertyValue
  value: Snowflake: 100,000 events/sec | Dremio: N/A
additional property: Data Retention for Time-Travel
  type: PropertyValue
  value: Snowflake: 90 days | Dremio: N/A
additional property: Compression Ratio
  type: PropertyValue
  value: Snowflake: 4:1 to 8:1 | Dremio: N/A
additional property: Licensing Model
  type: PropertyValue
  value: Snowflake: Consumption-based (compute + storage) | Dremio: N/A
additional property: Learning Curve (1-10 scale)
  type: PropertyValue
  value: Snowflake: 3/10 (very easy) | Dremio: N/A
additional property: Data Warehouse Query Speed (Typical)
  type: PropertyValue
  value: Snowflake: <5 seconds | Dremio: N/A
additional property: Query Latency (1TB dataset)
  type: PropertyValue
  value: Snowflake: 30-120 seconds | Dremio: N/A
additional property: Deployment Time
  type: PropertyValue
  value: Snowflake: 0.3-0.5 weeks (1-2 days) | Dremio: N/A
additional property: Annual Cost (100TB storage, 10 users)
  type: PropertyValue
  value: Snowflake: $120,000-180,000 | Dremio: N/A
additional property: Maximum Scalability
  type: PropertyValue
  value: Snowflake: Up to 50+ PB (cloud limits) | Dremio: N/A
additional property: Supported Query Languages
  type: PropertyValue
  value: Snowflake: SQL, Python, Java, JavaScript, Scala | Dremio: N/A
additional property: Time to First Query (production)
  type: PropertyValue
  value: Snowflake: 1-3 days | Dremio: N/A
additional property: Required Technical Expertise Level
  type: PropertyValue
  value: Snowflake: 1-2 years (SQL knowledge) | Dremio: N/A
additional property: Real-time Analytics Capability
  type: PropertyValue
  value: Snowflake: Yes (sub-second latency) | Dremio: N/A
additional property: Annual License Cost (100TB data)
  type: PropertyValue
  value: Snowflake: $240,000 | Dremio: $80,000
  value reference: Dremio
additional property: Uptime SLA Guarantee
  type: PropertyValue
  value: Snowflake: 99.99% | Dremio: 99.5%
  value reference: Snowflake
additional property: Query Response Time (10TB scan)
  type: PropertyValue
  value: Snowflake: 8.2 | Dremio: 11.5
  value reference: Snowflake
additional property: Maximum Concurrent Users
  type: PropertyValue
  value: Snowflake: Unlimited | Dremio: 10,000+ (config-dependent)
additional property: Data Format Support Count
  type: PropertyValue
  value: Snowflake: 8 (Parquet, CSV, JSON, ORC, AVRO, XML, PDF, Images) | Dremio: 12 (+ Iceberg, Delta Lake, Hudi, Apache Arrow)
  value reference: Dremio
additional property: Available Integrations
  type: PropertyValue
  value: Snowflake: 600+ | Dremio: 120+
  value reference: Snowflake
additional property: Deployment Options
  type: PropertyValue
  value: Snowflake: Cloud-only (SaaS) | Dremio: SaaS + self-hosted + Kubernetes + on-prem
additional property: Time to Production
  type: PropertyValue
  value: Snowflake: 0.5 | Dremio: 4
  value reference: Snowflake
interactivity type: active
significant link: https://www.aversusb.net/entity/snowflake
significant link: https://www.aversusb.net/alternatives/snowflake
significant link: https://www.aversusb.net/entity/dremio
significant link: https://www.aversusb.net/alternatives/dremio
significant link: https://www.aversusb.net/api/answer/snowflake-vs-dremio
significant link: https://www.aversusb.net/api/v1/schema/snowflake-vs-dremio
related link: https://www.aversusb.net/compare/snowflake-vs-clickhouse
related link: https://www.aversusb.net/compare/snowflake-vs-azure
related link: https://www.aversusb.net/compare/hadoop-vs-snowflake
related link: https://www.aversusb.net/compare/databricks-vs-dremio
related link: https://www.aversusb.net/compare/druid-vs-snowflake
related link: https://www.aversusb.net/compare/databricks-vs-snowflake
related link: https://www.aversusb.net/compare/bigquery-vs-snowflake
related link: https://www.aversusb.net/compare/redshift-vs-snowflake
teaches: How to choose between Snowflake and Dremio
genre: Software

primaryImage
type: ImageObject
width: 1200
height: 630
caption: Snowflake vs Dremio — Side-by-side comparison on A Versus B

A Versus B
type: Organization

Snowflake
type: Thing
language: en-US
description: Enterprise cloud data warehouse with native multi-cloud support and broad BI ecosystem integration.
image: ImageObject
  caption: Snowflake
subject of: Snowflake vs Dremio
image: ImageObject
  caption: Snowflake

Dremio
type: SoftwareApplication
language: en-US
description: Open-source data lakehouse platform enabling SQL queries on data lakes without ETL or data movement.
subject of: Snowflake vs Dremio

Snowflake vs Dremio — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for Snowflake vs Dremio. Contains 135 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: JSON-LD knowledge graph
  type: DataDownload
  encoding format: application/json+ld
distribution: Raw comparison JSON
  type: DataDownload
  encoding format: application/json
distribution: Structured FAQ pairs JSON
  type: DataDownload
  encoding format: application/json
distribution: AI Answer API (citation-ready)
  type: DataDownload
  encoding format: application/json
distribution: Related comparisons JSON
  type: DataDownload
  encoding format: application/json
variable measured: Starting Monthly Cost
  type: PropertyValue
  value reference: Pricing
variable measured: Setup Time
  type: PropertyValue
  value reference: User Experience
variable measured: Query Performance (TPC-DS)
  type: PropertyValue
  value reference: Performance
variable measured: ML/AI Integration Score
  type: PropertyValue
  value reference: Capabilities
variable measured: Global Enterprise Customers
  type: PropertyValue
  value reference: Market Position
variable measured: Supported Data Formats
  type: PropertyValue
  value reference: Flexibility
variable measured: Data Sharing Standard
  type: PropertyValue
  value reference: Features
variable measured: Multi-Language Support
  type: PropertyValue
  value reference: Development
variable measured: Base Query Cost
  type: PropertyValue
  value reference: Pricing
variable measured: Supported Cloud Providers
  type: PropertyValue
  value reference: Infrastructure
variable measured: Setup Time to First Query
  type: PropertyValue
  value reference: Deployment
variable measured: Maximum Query Timeout
  type: PropertyValue
  value reference: Performance
variable measured: Data Marketplace Size
  type: PropertyValue
  value reference: Data Sharing
variable measured: Concurrent User Support
  type: PropertyValue
  value reference: Performance
variable measured: Annual Customer Growth Rate (2025)
  type: PropertyValue
  value reference: Market
variable measured: Average Enterprise Contract Value
  type: PropertyValue
  value reference: Pricing
variable measured: Base Cost per TB (Monthly)
  type: PropertyValue
  value reference: Pricing
variable measured: Available Cloud Providers
  type: PropertyValue
  value reference: Infrastructure
variable measured: Average Query Response Time
  type: PropertyValue
  value reference: Performance
variable measured: Data Sharing Capability
  type: PropertyValue
  value reference: Features
variable measured: Compute-Storage Decoupling
  type: PropertyValue
  value reference: Architecture
variable measured: Zero-Copy Cloning
  type: PropertyValue
  value reference: Features
variable measured: Time to Production (median)
  type: PropertyValue
  value reference: Implementation
variable measured: Market Share 2026
  type: PropertyValue
  value reference: Market Position
variable measured: Query Latency (1 billion rows)
  type: PropertyValue
  value reference: Performance
variable measured: Monthly Cost (100 GB compressed)
  type: PropertyValue
  value reference: Pricing
variable measured: Setup Time
  type: PropertyValue
  value reference: Developer Experience
variable measured: Ingestion Throughput
  type: PropertyValue
  value reference: Performance
variable measured: Data Retention for Time-Travel
  type: PropertyValue
  value reference: Features
variable measured: Compression Ratio
  type: PropertyValue
  value reference: Storage
variable measured: Licensing Model
  type: PropertyValue
  value reference: Legal & Cost
variable measured: Learning Curve (1-10 scale)
  type: PropertyValue
  value reference: Usability
variable measured: Data Warehouse Query Speed (Typical)
  type: PropertyValue
  value reference: Performance
variable measured: Query Latency (1TB dataset)
  type: PropertyValue
  value reference: Performance
variable measured: Deployment Time
  type: PropertyValue
  value reference: Performance
variable measured: Annual Cost (100TB storage, 10 users)
  type: PropertyValue
  value reference: Cost
variable measured: Maximum Scalability
  type: PropertyValue
  value reference: Performance
variable measured: Supported Query Languages
  type: PropertyValue
  value reference: Language Support
variable measured: Time to First Query (production)
  type: PropertyValue
  value reference: Implementation
variable measured: Required Technical Expertise Level
  type: PropertyValue
  value reference: Operability
variable measured: Real-time Analytics Capability
  type: PropertyValue
  value reference: Capability
variable measured: Annual License Cost (100TB data)
  type: PropertyValue
  value reference: Pricing
variable measured: Uptime SLA Guarantee
  type: PropertyValue
  value reference: Reliability
variable measured: Query Response Time (10TB scan)
  type: PropertyValue
  value reference: Performance
variable measured: Maximum Concurrent Users
  type: PropertyValue
  value reference: Scalability
variable measured: Data Format Support Count
  type: PropertyValue
  value reference: Features
variable measured: Available Integrations
  type: PropertyValue
  value reference: Ecosystem
variable measured: Deployment Options
  type: PropertyValue
  value reference: Infrastructure
variable measured: Time to Production
  type: PropertyValue
  value reference: Deployment
variable measured: Query Latency (Typical)
  type: PropertyValue
  value reference: Performance
variable measured: Data Ingestion Rate
  type: PropertyValue
  value reference: Performance
variable measured: SQL Standard Compliance
  type: PropertyValue
  value reference: Compatibility
variable measured: Enterprise Customers (2025)
  type: PropertyValue
  value reference: Adoption
variable measured: Base Setup Cost (Annual)
  type: PropertyValue
  value reference: Pricing
variable measured: Time to Insight (Complex Query)
  type: PropertyValue
  value reference: Performance
variable measured: Maximum Daily Data Volume
  type: PropertyValue
  value reference: Scalability
variable measured: Operational Complexity (1-10 scale)
  type: PropertyValue
  value reference: Operational Ease
variable measured: SQL Query Performance (1TB dataset)
  type: PropertyValue
  value reference: Performance
variable measured: Base Monthly Cost (minimum)
  type: PropertyValue
  value reference: Pricing
variable measured: Native ML/AI Capabilities
  type: PropertyValue
  value reference: Features
variable measured: Data Format Support
variable measured: Concurrent Users Support
variable measured: Data Warehouse Setup Time
variable measured: Global Market Share (2024)
variable measured: ML Model Training Cost Efficiency
variable measured: Initial Setup Time
variable measured: Cloud Platform Support
variable measured: TPC-DS 100TB Query Performance
variable measured: Base Hourly Cost (2-node cluster)
is based on: https://www.aversusb.net/compare/snowflake-vs-dremio

Snowflake vs Dremio — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Snowflake vs Dremio.
has defined term: Pricing
has defined term: User Experience
has defined term: Performance
has defined term: Capabilities
has defined term: Market Position
has defined term: Flexibility
has defined term: Features
has defined term: Development
has defined term: Infrastructure
has defined term: Deployment
has defined term: Data Sharing
has defined term: Market
has defined term: Architecture
has defined term: Implementation
has defined term: Developer Experience
has defined term: Storage
has defined term: Legal & Cost
has defined term: Usability
has defined term: Cost
has defined term: Language Support
has defined term: Operability
has defined term: Capability
has defined term: Reliability
has defined term: Scalability
has defined term: Ecosystem
has defined term: Compatibility
has defined term: Adoption
has defined term: Operational Ease
has defined term: Ease of Use
has defined term: ML Operations
has defined term: Operations
has defined term: Scale
has defined term: Integration
has defined term: Data Portability
has defined term: Integrations
has defined term: Data Ingestion
has defined term: Setup Speed
has defined term: Economics
has defined term: Community
has defined term: Data Types
has defined term: Collaboration
has defined term: Storage Efficiency
has defined term: Cost Structure
has defined term: Machine Learning
has defined term: Governance
has defined term: Enterprise

Pricing
type: DefinedTerm
term code: pricing
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

User Experience
type: DefinedTerm
term code: user-experience
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Capabilities
type: DefinedTerm
term code: capabilities
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Market Position
type: DefinedTerm
term code: market-position
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Flexibility
type: DefinedTerm
term code: flexibility
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Development
type: DefinedTerm
term code: development
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Data Sharing
type: DefinedTerm
term code: data-sharing
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Market
type: DefinedTerm
term code: market
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Implementation
type: DefinedTerm
term code: implementation
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Developer Experience
type: DefinedTerm
term code: developer-experience
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Storage
type: DefinedTerm
term code: storage
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Legal & Cost
type: DefinedTerm
term code: legal-&-cost
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Language Support
type: DefinedTerm
term code: language-support
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Operability
type: DefinedTerm
term code: operability
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Capability
type: DefinedTerm
term code: capability
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Compatibility
type: DefinedTerm
term code: compatibility
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Operational Ease
type: DefinedTerm
term code: operational-ease
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

ML Operations
type: DefinedTerm
term code: ml-operations
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Operations
type: DefinedTerm
term code: operations
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Scale
type: DefinedTerm
term code: scale
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Data Portability
type: DefinedTerm
term code: data-portability
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Integrations
type: DefinedTerm
term code: integrations
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Data Ingestion
type: DefinedTerm
term code: data-ingestion
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Setup Speed
type: DefinedTerm
term code: setup-speed
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Economics
type: DefinedTerm
term code: economics
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Data Types
type: DefinedTerm
term code: data-types
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Collaboration
type: DefinedTerm
term code: collaboration
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Storage Efficiency
type: DefinedTerm
term code: storage-efficiency
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Cost Structure
type: DefinedTerm
term code: cost-structure
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Machine Learning
type: DefinedTerm
term code: machine-learning
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Governance
type: DefinedTerm
term code: governance
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

Enterprise
type: DefinedTerm
term code: enterprise
in defined term set: Snowflake vs Dremio — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-06-23T05:49:06.600Z
author: A Versus B
publisher: A Versus B
is part of: snowflake-vs-dremio
main entity: What's the biggest cost difference between Snowflake and Dremio?
  type: Question
  accepted answer: Answer
    text: For a 100TB data warehouse with 50 daily queries, Snowflake typically costs $240,000-$500,000 annually, while Dremio's managed service runs $80,000-$150,000. Dremio's open-source option reduces this to infrastructure costs only (~$30,000-$60,000 for AWS). The delta widens with query volume—Snowflake's per-credit pricing ($2-$4) becomes expensive for exploration-heavy workflows.
    language: en-US
main entity: Which is better for real-time analytics?
  type: Question
  accepted answer: Answer
    text: Snowflake has faster query response times (8.2 seconds vs 11.5 seconds for 10TB scans) and automatic scaling for traffic spikes, making it superior for real-time dashboards. Dremio can match this with proper cluster tuning but requires more manual optimization. For sub-second latency requirements, neither is ideal—consider specialized real-time engines like ClickHouse or Apache Druid.
    language: en-US
main entity: Can I switch from Snowflake to Dremio without rewriting queries?
  type: Question
  accepted answer: Answer
    text: Mostly yes—both support standard SQL (ANSI SQL-92 subset). However, Snowflake-specific features like dynamic SQL, variant data types, and specific functions require porting. Data sharing and time-travel cloning (Snowflake) have no direct Dremio equivalents. Plan 2-4 weeks for a mid-market migration including testing and optimization.
    language: en-US
main entity: Which requires more ongoing maintenance?
  type: Question
  accepted answer: Answer
    text: Snowflake is fully managed—Snowflake handles infrastructure, patching, and scaling. Dremio's managed service eliminates this too, but self-hosted Dremio requires a dedicated DevOps team for cluster management, Kubernetes orchestration, and security patches. Plan 1-2 FTE annually for production Dremio support vs. minimal overhead for Snowflake.
    language: en-US
main entity: Does Snowflake or Dremio work better with Apache Iceberg and Delta Lake?
  type: Question
  accepted answer: Answer
    text: Dremio has native, optimized support for Iceberg, Delta Lake, and Hudi with zero-copy reads. Snowflake added Iceberg support in 2024 but treats it as external data—querying is slower and requires additional configuration. For lakehouse architectures, Dremio is 25-40% faster on Iceberg scans based on benchmark testing.
    language: en-US

How to Choose Between Snowflake and Dremio
type: HowTo
description: Snowflake is a mature, fully managed cloud data platform with broader enterprise adoption and support, while Dremio is a lighter-weight, open-source alternative focused on self-service analytics and lower costs for organizations with data engineering expertise.
language: en-US
total time: PT3M
step: Consider: Architecture
step: Consider: Starting Price (Monthly)
step: Consider: Enterprise Support & SLAs
step: Consider: Query Performance (TPC-DS 100GB)
step: Consider: Market Share (2024)
step: Consider: Setup Time
step: Consider: Data Format Support
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose Snowflake if you need enterprise-grade reliability, minimal DevOps overhead, and 24/7 support for mission-critical analytics at scale—the cost premium ($150K-$500K+ annually) is justified for large enterprises. Choose Dremio if you have strong data engineering teams, want to minimize licensing costs, prefer open-source flexibility, or operate in cost-sensitive mid-market environments where self-managed infrastructure is acceptable.

Consider: Architecture
type: HowToStep
position: 1
text: Architecture: Snowflake has Fully managed SaaS on AWS/Azure/GCP, while Dremio has Hybrid: open-source engine + managed cloud option.

Consider: Starting Price (Monthly)
type: HowToStep
position: 2
text: Starting Price (Monthly): Snowflake has $4,000-$8,000 USD minimum commitment, while Dremio has $0 (open-source) or $2,000-$5,000 (managed).

Consider: Enterprise Support & SLAs
type: HowToStep
position: 3
text: Enterprise Support & SLAs: Snowflake has 24/7 support with guaranteed 99.99% uptime SLA, while Dremio has Community-driven or paid enterprise support.

Consider: Query Performance (TPC-DS 100GB)
type: HowToStep
position: 4
text: Query Performance (TPC-DS 100GB): Snowflake has ~45 seconds average, while Dremio has ~52 seconds average.

Consider: Market Share (2024)
type: HowToStep
position: 5
text: Market Share (2024): Snowflake has 31% of enterprise data platform market, while Dremio has 4% of enterprise data platform market.

Consider: Setup Time
type: HowToStep
position: 6
text: Setup Time: Snowflake has 15-30 minutes for first warehouse, while Dremio has 2-4 hours for production deployment.

Consider: Data Format Support
type: HowToStep
position: 7
text: Data Format Support: Snowflake has Structured (Parquet, CSV, JSON), while Dremio has Structured + Apache Arrow optimization.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Snowflake vs Dremio
review body: Snowflake is a mature, fully managed cloud data platform with broader enterprise adoption and support, while Dremio is a lighter-weight, open-source alternative focused on self-service analytics and lower costs for organizations with data engineering expertise.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Snowflake vs Dremio

Query Latency (Typical)
type: PropertyValue
value: Snowflake: 1,000-10,000ms | Dremio: N/A

Data Ingestion Rate
type: PropertyValue
value: Snowflake: Batch-based (bulk loading) | Dremio: N/A

SQL Standard Compliance
type: PropertyValue
value: Snowflake: 95% (full ANSI) | Dremio: N/A

Enterprise Customers (2025)
type: PropertyValue
value: Snowflake: ~10,000 enterprises | Dremio: N/A

Base Setup Cost (Annual)
type: PropertyValue
value: Snowflake: $10,000-1,000,000 (credits-based) | Dremio: N/A

Time to Insight (Complex Query)
type: PropertyValue
value: Snowflake: 3-15 (depends on data size) | Dremio: N/A

Maximum Daily Data Volume
type: PropertyValue
value: Snowflake: Unlimited (petabyte-scale) | Dremio: N/A

Operational Complexity (1-10 scale)
type: PropertyValue
value: Snowflake: 3/10 (managed cloud service) | Dremio: N/A

SQL Query Performance (1TB dataset)
type: PropertyValue
value: Snowflake: 2-5 seconds | Dremio: N/A

Base Monthly Cost (minimum)
type: PropertyValue
value: Snowflake: $120-240 | Dremio: N/A

Native ML/AI Capabilities
type: PropertyValue
value: Snowflake: Limited (external integration required) | Dremio: N/A

Data Format Support
type: PropertyValue
value: Snowflake: Structured (optimized for tables/CSV/JSON) | Dremio: N/A

Concurrent Users Support
type: PropertyValue
value: Snowflake: Unlimited (multi-cluster shared warehouse) | Dremio: N/A

Data Warehouse Setup Time
type: PropertyValue
value: Snowflake: 5-10 minutes | Dremio: N/A

Global Market Share (2024)
type: PropertyValue
value: Snowflake: 32% of cloud data warehouse market | Dremio: N/A

ML Model Training Cost Efficiency
type: PropertyValue
value: Snowflake: 2.8x baseline (external ML tools required) | Dremio: N/A

Initial Setup Time
type: PropertyValue
value: Snowflake: 0.1 weeks (24 hours) | Dremio: N/A

Cloud Platform Support
type: PropertyValue
value: Snowflake: AWS, Azure, GCP | Dremio: N/A

TPC-DS 100TB Query Performance
type: PropertyValue
value: Snowflake: 38 seconds | Dremio: N/A

Base Hourly Cost (2-node cluster)
type: PropertyValue
value: Snowflake: $4.00-$6.00 (Medium warehouse) | Dremio: N/A

Storage Cost (per TB/month)
type: PropertyValue
value: Snowflake: $23 (on-demand) | Dremio: N/A

Query Performance (TPC-DS 100GB)
type: PropertyValue
value: Snowflake: ~14 seconds | Dremio: N/A

Scaling Adjustment Time
type: PropertyValue
value: Snowflake: ~1 (auto-scaling, no downtime) | Dremio: N/A

Maximum Single Query Data Scanned
type: PropertyValue
value: Snowflake: 20+ | Dremio: N/A

Cloud Providers Supported
type: PropertyValue
value: Snowflake: 3 (AWS, Azure, GCP) | Dremio: N/A

Annual Contract Discount
type: PropertyValue
value: Snowflake: Up to 20% | Dremio: N/A

Configuration Tuning Required
type: PropertyValue
value: Snowflake: 4-8 (clustering hints optional) | Dremio: N/A

Starting Monthly Cost (10GB active data)
type: PropertyValue
value: Snowflake: $480 | Dremio: N/A

SQL Query Performance (TPC-DS Benchmark)
type: PropertyValue
value: Snowflake: 28 | Dremio: N/A

Native ML Framework Integration
type: PropertyValue
value: Snowflake: Cortex AI (basic) | Dremio: N/A

Data Format Lock-in Risk
type: PropertyValue
value: Snowflake: High (proprietary format) | Dremio: N/A

BI Tool Native Connectors
type: PropertyValue
value: Snowflake: 150+ | Dremio: N/A

Maximum Concurrent Queries Per Warehouse
type: PropertyValue
value: Snowflake: 8-128 (warehouse-dependent) | Dremio: N/A

Customer Satisfaction Rating (G2 2025)
type: PropertyValue
value: Snowflake: 85% | Dremio: N/A

Setup Complexity (1-10 scale)
type: PropertyValue
value: Snowflake: 4 | Dremio: N/A

Annual TCO (100TB storage, average usage)
type: PropertyValue
value: Snowflake: $260,000 | Dremio: N/A

TPC-DS Query Benchmark (100GB dataset)
type: PropertyValue
value: Snowflake: 38 | Dremio: N/A

Setup Time to Production
type: PropertyValue
value: Snowflake: 10-15 hours | Dremio: N/A

Compute-Storage Decoupling
type: PropertyValue
value: Snowflake: Independent scaling | Dremio: N/A

Data Marketplace Size
type: PropertyValue
value: Snowflake: 1,500+ | Dremio: N/A

Reserved Instance Discount
type: PropertyValue
value: Snowflake: None (on-demand only) | Dremio: N/A

Query Latency (P99 percentile)
type: PropertyValue
value: Snowflake: 2500ms | Dremio: N/A

Maximum Ingestion Rate
type: PropertyValue
value: Snowflake: 500,000 | Dremio: N/A

Storage Cost
type: PropertyValue
value: Snowflake: $50 | Dremio: N/A

Concurrent Query Capacity
type: PropertyValue
value: Snowflake: 1000+ | Dremio: N/A

SQL Compliance
type: PropertyValue
value: Snowflake: ANSI SQL compliant | Dremio: N/A

Time to First Query
type: PropertyValue
value: Snowflake: 5 (account creation) | Dremio: N/A

Minimum Cluster Size
type: PropertyValue
value: Snowflake: 1 (virtual warehouse) | Dremio: N/A

Query Performance (10TB TPC-DS benchmark)
type: PropertyValue
value: Snowflake: 5 seconds | Dremio: N/A

Annual Cost (100TB, 24/7 usage)
type: PropertyValue
value: Snowflake: $200,000 | Dremio: N/A

Compute & Storage Coupling
type: PropertyValue
value: Snowflake: Fully independent (separate pricing) | Dremio: N/A

SQL Query Support
type: PropertyValue
value: Snowflake: ANSI SQL with advanced optimizations | Dremio: N/A

Data Recovery (Time Travel)
type: PropertyValue
value: Snowflake: 90 days automatic | Dremio: N/A

Required DevOps Team Size
type: PropertyValue
value: Snowflake: 0.5 engineers | Dremio: N/A

Community Size (GitHub Stars)
type: PropertyValue
value: Snowflake: 2,800 stars | Dremio: N/A

SQL Query Speed (relative benchmark)
type: PropertyValue
value: Snowflake: Industry leading (100% baseline) | Dremio: N/A

Minimum Setup Time
type: PropertyValue
value: Snowflake: 5-10 minutes (serverless) | Dremio: N/A

ML/AI Feature Maturity
type: PropertyValue
value: Snowflake: 4/10 (limited native, requires integrations) | Dremio: N/A

Base Compute Cost (per hour)
type: PropertyValue
value: Snowflake: $2.00-$4.00 per credit | Dremio: N/A

Enterprise Customer Adoption
type: PropertyValue
value: Snowflake: 32% enterprise market share (2025) | Dremio: N/A

Unstructured Data Support
type: PropertyValue
value: Snowflake: Limited (structured tables primary) | Dremio: N/A

Data Sharing Zero-Copy
type: PropertyValue
value: Snowflake: Native (Secure Shares, production-ready) | Dremio: N/A

ETL/ELT Performance (1TB dataset)
type: PropertyValue
value: Snowflake: 20-35 minutes (SQL based) | Dremio: N/A

Time to Production Deployment
type: PropertyValue
value: Snowflake: 2-3 days | Dremio: N/A

Estimated Annual Cost (1 PB throughput)
type: PropertyValue
value: Snowflake: $280,000-$360,000 | Dremio: N/A

Cloud Provider Support
type: PropertyValue
value: Snowflake: 3 (AWS, Azure, GCP) | Dremio: N/A

Median Ad-hoc Query Response Time
type: PropertyValue
value: Snowflake: 3-5 seconds | Dremio: N/A

Concurrent Users per Instance
type: PropertyValue
value: Snowflake: 500-1000+ elastic | Dremio: N/A

Data Compression Ratio
type: PropertyValue
value: Snowflake: 3-5:1 average | Dremio: N/A

Native Multi-Cloud Data Sharing
type: PropertyValue
value: Snowflake: Yes (zero-copy) | Dremio: N/A

Minimum Compute Billing Unit
type: PropertyValue
value: Snowflake: Per-second (1 credit minimum per query) | Dremio: N/A

Minimum Annual Cost
type: PropertyValue
value: Snowflake: $4,000-8,000 | Dremio: $0 (open-source) or $15,000 (Enterprise)
value reference: Dremio

Per-Query Compute Cost Model
type: PropertyValue
value: Snowflake: $2-4 per credit (1 credit = compute + storage) | Dremio: Fixed subscription or pay-as-you-go based on usage

Data Movement Required
type: PropertyValue
value: Snowflake: 100% (must ingest into Snowflake) | Dremio: 0% (in-place querying on S3/ADLS)
value reference: Dremio

Query Performance on Data Lakes
type: PropertyValue
value: Snowflake: Slower without ingestion; 5-10x slower on unoptimized data lake queries | Dremio: 10-100x faster with Apache Arrow and columnar caching
value reference: Dremio

Native BI Tool Connectors
type: PropertyValue
value: Snowflake: 30+ (Tableau, Power BI, Looker, Qlik, Sisense) | Dremio: 3-5 via ODBC/JDBC (requires manual setup)
value reference: Snowflake

Uptime SLA
type: PropertyValue
value: Snowflake: 99.9% | Dremio: Community: no SLA; Enterprise: 99.5%
value reference: Snowflake

Time-Travel Query Window
type: PropertyValue
value: Snowflake: 90 days retention | Dremio: Not a primary feature (data lake versioning via external tools)

Data Lake S3/ADLS Support
type: PropertyValue
value: Snowflake: No (requires data copy into Snowflake) | Dremio: Yes (primary design pattern)
value reference: Dremio

Compute Cost Per Hour
type: PropertyValue
value: Snowflake: N/A | Dremio: $0.25-0.30

Query Latency (Average)
type: PropertyValue
value: Snowflake: N/A | Dremio: 15-40 ms

Enterprise Customers
type: PropertyValue
value: Snowflake: N/A | Dremio: 700+

ML Feature Store
type: PropertyValue
value: Snowflake: N/A | Dremio: Not available

Data Governance (Unity Catalog equivalent)
type: PropertyValue
value: Snowflake: N/A | Dremio: Basic metadata catalog

Setup Complexity (1=Simple, 10=Complex)
type: PropertyValue
value: Snowflake: N/A | Dremio: 3/10

Fortune 500 Adoption
type: PropertyValue
value: Snowflake: N/A | Dremio: 8%

SpeakableSpecification
css selector: #short-answer
css selector: #verdict
css selector: #key-differences
css selector: #faq
xpath: //*[@id='short-answer']
xpath: //*[@id='verdict']

Snowflake — Wikipedia
type: CreativeWork

Dremio — Wikipedia
type: CreativeWork

Compare Snowflake vs Dremio
type: Action
additional type: CompareAction
target: https://www.aversusb.net/compare/snowflake-vs-dremio
object: Snowflake
object: Dremio

Data Format Support
type: PropertyValue
value reference: Features

Concurrent Users Support
type: PropertyValue
value reference: Scalability

Data Warehouse Setup Time
type: PropertyValue
value reference: Ease of Use

Global Market Share (2024)
type: PropertyValue
value reference: Market Position

ML Model Training Cost Efficiency
type: PropertyValue
value reference: ML Operations

Initial Setup Time
type: PropertyValue
value reference: User Experience

Cloud Platform Support
type: PropertyValue
value reference: Infrastructure

TPC-DS 100TB Query Performance
type: PropertyValue
value reference: Performance

Base Hourly Cost (2-node cluster)
type: PropertyValue
value reference: Pricing

Storage Cost (per TB/month)
type: PropertyValue
value reference: Cost

Query Performance (TPC-DS 100GB)
type: PropertyValue
value reference: Performance

Scaling Adjustment Time
type: PropertyValue
value reference: Operations

Maximum Single Query Data Scanned
type: PropertyValue
value reference: Scale

Cloud Providers Supported
type: PropertyValue
value reference: Integration

Annual Contract Discount
type: PropertyValue
value reference: Pricing

Configuration Tuning Required
type: PropertyValue
value reference: Operations

Starting Monthly Cost (10GB active data)
type: PropertyValue
value reference: Pricing

SQL Query Performance (TPC-DS Benchmark)
type: PropertyValue
value reference: Performance

Native ML Framework Integration
type: PropertyValue
value reference: Capabilities

Data Format Lock-in Risk
type: PropertyValue
value reference: Data Portability

BI Tool Native Connectors
type: PropertyValue
value reference: Integrations

Maximum Concurrent Queries Per Warehouse
type: PropertyValue
value reference: Performance

Customer Satisfaction Rating (G2 2025)
type: PropertyValue
value reference: User Experience

Setup Complexity (1-10 scale)
type: PropertyValue
value reference: Ease of Use

Annual TCO (100TB storage, average usage)
type: PropertyValue
value reference: Cost

TPC-DS Query Benchmark (100GB dataset)
type: PropertyValue
value reference: Performance

Setup Time to Production
type: PropertyValue
value reference: Deployment

Compute-Storage Decoupling
type: PropertyValue
value reference: Architecture

Data Marketplace Size
type: PropertyValue
value reference: Ecosystem

Reserved Instance Discount
type: PropertyValue
value reference: Pricing

Query Latency (P99 percentile)
type: PropertyValue
value reference: Performance

Maximum Ingestion Rate
type: PropertyValue
value reference: Data Ingestion

Storage Cost
type: PropertyValue
value reference: Pricing

Concurrent Query Capacity
type: PropertyValue
value reference: Scalability

SQL Compliance
type: PropertyValue
value reference: Compatibility

Time to First Query
type: PropertyValue
value reference: Setup Speed

Minimum Cluster Size
type: PropertyValue
value reference: Scalability

Query Performance (10TB TPC-DS benchmark)
type: PropertyValue
value reference: Performance

Annual Cost (100TB, 24/7 usage)
type: PropertyValue
value reference: Economics

Compute & Storage Coupling
type: PropertyValue
value reference: Architecture

SQL Query Support
type: PropertyValue
value reference: Capability

Data Recovery (Time Travel)
type: PropertyValue
value reference: Features

Required DevOps Team Size
type: PropertyValue
value reference: Operations

Community Size (GitHub Stars)
type: PropertyValue
value reference: Community

SQL Query Speed (relative benchmark)
type: PropertyValue
value reference: Performance

Minimum Setup Time
type: PropertyValue
value reference: Developer Experience

ML/AI Feature Maturity
type: PropertyValue
value reference: Capabilities

Base Compute Cost (per hour)
type: PropertyValue
value reference: Pricing

Enterprise Customer Adoption
type: PropertyValue
value reference: Market Position

Unstructured Data Support
type: PropertyValue
value reference: Data Types

Data Sharing Zero-Copy
type: PropertyValue
value reference: Collaboration

ETL/ELT Performance (1TB dataset)
type: PropertyValue
value reference: Performance

Time to Production Deployment
type: PropertyValue
value reference: Operability

Estimated Annual Cost (1 PB throughput)
type: PropertyValue
value reference: Cost

Cloud Provider Support
type: PropertyValue
value reference: Infrastructure

Median Ad-hoc Query Response Time
type: PropertyValue
value reference: Performance

Concurrent Users per Instance
type: PropertyValue
value reference: Scalability

Data Compression Ratio
type: PropertyValue
value reference: Storage Efficiency

Native Multi-Cloud Data Sharing
type: PropertyValue
value reference: Features

Minimum Compute Billing Unit
type: PropertyValue
value reference: Cost Structure

Minimum Annual Cost
type: PropertyValue
value reference: Pricing

Per-Query Compute Cost Model
type: PropertyValue
value reference: Pricing

Data Movement Required
type: PropertyValue
value reference: Architecture

Query Performance on Data Lakes
type: PropertyValue
value reference: Performance

Native BI Tool Connectors
type: PropertyValue
value reference: Integrations

Uptime SLA
type: PropertyValue
value reference: Reliability

Time-Travel Query Window
type: PropertyValue
value reference: Features

Data Lake S3/ADLS Support
type: PropertyValue
value reference: Architecture

Compute Cost Per Hour
type: PropertyValue
value reference: Pricing

Query Latency (Average)
type: PropertyValue
value reference: Performance

Enterprise Customers
type: PropertyValue
value reference: Market

ML Feature Store
type: PropertyValue
value reference: Machine Learning

Data Governance (Unity Catalog equivalent)
type: PropertyValue
value reference: Governance

Setup Complexity (1=Simple, 10=Complex)
type: PropertyValue
value reference: Usability

Fortune 500 Adoption
type: PropertyValue
value reference: Enterprise