Pinot vs Elasticsearch
type: WebPage
description: Apache Pinot is a columnar OLAP database optimized for real-time analytics on massive datasets with sub-second query latency, while Elasticsearch is a distributed search and analytics engine designed primarily for full-text search, logging, and operational analytics. Pinot excels at numerical aggregations over billions of rows; Elasticsearch excels at text search and log analysis.
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date published: 2026-07-08T19:59:41.007Z
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date modified: 2026-07-08T19:59:41.044Z
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caption: Pinot vs Elasticsearch — Side-by-side comparison on A Versus B

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Pinot vs Elasticsearch
type: Article
type: TechArticle
abstract: Apache Pinot is a columnar OLAP database optimized for real-time analytics on massive datasets with sub-second query latency, while Elasticsearch is a distributed search and analytics engine designed primarily for full-text search, logging, and operational analytics. Pinot excels at numerical aggregations over billions of rows; Elasticsearch excels at text search and log analysis.
description: Apache Pinot is a columnar OLAP database optimized for real-time analytics on massive datasets with sub-second query latency, while Elasticsearch is a distributed search and analytics engine designed primarily for full-text search, logging, and operational analytics. Pinot excels at numerical aggregations over billions of rows; Elasticsearch excels at text search and log analysis.
language: en-US
main entity of page: Pinot vs Elasticsearch
content reference time: 2026-07-08T19:59:41.044Z
author: A Versus B
publisher: A Versus B
date published: 2026-07-08T19:59:41.007Z
date created: 2026-07-08T19:59:41.007Z
date modified: 2026-07-08T19:59:41.044Z
text: Choose Pinot if you need to run fast aggregation queries (COUNT, SUM, AVG) over billions of events with sub-second latency and have primarily numerical data—ideal for user analytics, ad-tech dashboards, and real-time metrics. Choose Elasticsearch if you prioritize full-text search, log aggregation, or need flexibility to search across text fields with rich query DSL and a larger ecosystem—better for security/compliance logs, application performance monitoring, and general-purpose search.
genre: Software
potential action: ReadAction
  target: Pinot vs Elasticsearch
potential action: Compare Apache Pinot vs Elasticsearch
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  target: Pinot vs Elasticsearch
  object: Apache Pinot
  object: Elasticsearch
about: Apache Pinot
about: Elasticsearch
mentions: Primary Use Case
mentions: Query Latency (typical)
mentions: Storage Model
mentions: Full-Text Search Capability
mentions: Typical Cluster Size
mentions: Index Size vs Data Size Ratio
mentions: Community Adoption (GitHub Stars)
related link: https://www.aversusb.net/compare/pinot-vs-elasticsearch
related link: https://www.aversusb.net/compare/elasticsearch-vs-datadog)
related link: https://www.aversusb.net/compare/new-relic-vs-elasticsearch
related link: https://www.aversusb.net/compare/clickhouse-vs-pinot
related link: https://www.aversusb.net/compare/elasticsearch-vs-splunk
related link: https://www.aversusb.net/compare/druid-vs-pinot
related link: https://www.aversusb.net/compare/elasticsearch-vs-opensearch
related link: https://www.aversusb.net/compare/druid-vs-elasticsearch
citation: Apache Pinot — Wikipedia
citation: Elasticsearch — Wikipedia
significant link: https://www.aversusb.net/entity/apache-pinot
significant link: https://www.aversusb.net/alternatives/apache-pinot
significant link: https://www.aversusb.net/entity/elasticsearch
significant link: https://www.aversusb.net/alternatives/elasticsearch
significant link: https://www.aversusb.net/api/answer/pinot-vs-elasticsearch)
significant link: https://www.aversusb.net/api/knowledge-graph/pinot-vs-elasticsearch)

A Versus B
type: Organization

Apache Pinot
type: SoftwareApplication
description: Columnar OLAP database for real-time analytics at scale
alternate name: AP
language: en-US
image: ImageObject
  caption: Apache Pinot
subject of: Pinot vs Elasticsearch

Elasticsearch
type: SoftwareApplication
description: Open-source distributed search and analytics engine for logs, metrics, and traces with flexible deployment options.
language: en-US
subject of: Pinot vs Elasticsearch

Pinot vs Elasticsearch — Comparison Data
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description: Structured comparison data for Pinot vs Elasticsearch with 169 attributes.
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license: https://creativecommons.org/licenses/by/4.0/
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Pinot vs Elasticsearch — Attribute Category Vocabulary
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language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Pinot vs Elasticsearch.
has defined term: Performance
has defined term: Resource Efficiency
has defined term: Throughput
has defined term: Economics
has defined term: Query Features
has defined term: Features
has defined term: Market Position
has defined term: Storage Efficiency
has defined term: Real-time Performance
has defined term: Efficiency
has defined term: Querying
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has defined term: Pricing
has defined term: Total Cost
has defined term: Ease of Use
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has defined term: Usability
has defined term: Capabilities
has defined term: Collaboration
has defined term: Data Pipeline
has defined term: Licensing
has defined term: Real-time Capability
has defined term: Operations
has defined term: Time to Value
has defined term: Complexity
has defined term: Search Capability
has defined term: Ecosystem
has defined term: Data Ingestion
has defined term: Data Management
has defined term: Customer Success
has defined term: Security
has defined term: Analytics
has defined term: Support
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has defined term: Compatibility
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has defined term: Deployment & Usability
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has defined term: Deployment & Speed
has defined term: Intelligence
has defined term: Customization
has defined term: Support & Ecosystem
has defined term: Performance Impact
has defined term: Functionality
has defined term: Adoption
has defined term: Reliability

Performance
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term code: performance
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Resource Efficiency
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term code: resource-efficiency
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Throughput
type: DefinedTerm
term code: throughput
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Economics
type: DefinedTerm
term code: economics
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Query Features
type: DefinedTerm
term code: query-features
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

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

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

Real-time Performance
type: DefinedTerm
term code: real-time-performance
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Efficiency
type: DefinedTerm
term code: efficiency
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Querying
type: DefinedTerm
term code: querying
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Pricing
type: DefinedTerm
term code: pricing
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Total Cost
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term code: total-cost
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

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

Query Language
type: DefinedTerm
term code: query-language
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Community Adoption
type: DefinedTerm
term code: community-adoption
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Capabilities
type: DefinedTerm
term code: capabilities
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Collaboration
type: DefinedTerm
term code: collaboration
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Data Pipeline
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term code: data-pipeline
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Licensing
type: DefinedTerm
term code: licensing
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Real-time Capability
type: DefinedTerm
term code: real-time-capability
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Operations
type: DefinedTerm
term code: operations
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Time to Value
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term code: time-to-value
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Complexity
type: DefinedTerm
term code: complexity
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Search Capability
type: DefinedTerm
term code: search-capability
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

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

Data Management
type: DefinedTerm
term code: data-management
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Customer Success
type: DefinedTerm
term code: customer-success
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Security
type: DefinedTerm
term code: security
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Analytics
type: DefinedTerm
term code: analytics
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Support
type: DefinedTerm
term code: support
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Storage
type: DefinedTerm
term code: storage
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Resources
type: DefinedTerm
term code: resources
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Compatibility
type: DefinedTerm
term code: compatibility
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

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

Implementation
type: DefinedTerm
term code: implementation
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Flexibility
type: DefinedTerm
term code: flexibility
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Deployment & Usability
type: DefinedTerm
term code: deployment-&-usability
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Adoption & Community
type: DefinedTerm
term code: adoption-&-community
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Deployment & Speed
type: DefinedTerm
term code: deployment-&-speed
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Intelligence
type: DefinedTerm
term code: intelligence
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Customization
type: DefinedTerm
term code: customization
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Support & Ecosystem
type: DefinedTerm
term code: support-&-ecosystem
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Performance Impact
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term code: performance-impact
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Functionality
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term code: functionality
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Adoption
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term code: adoption
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Pinot vs Elasticsearch — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-08T19:59:41.044Z
author: A Versus B
publisher: A Versus B
is part of: Pinot vs Elasticsearch
main entity: When should I use Pinot instead of Elasticsearch?
  type: Question
  accepted answer: Answer
    text: Use Pinot when you have numerical, time-series data at scale (100B+ events/day) and need sub-second latency on aggregation queries. Elasticsearch is more general-purpose and simpler to operate, but Pinot's columnar design makes it 5-10x faster and more storage-efficient for pure analytics. If you primarily do full-text search or logging, stick with Elasticsearch.
    language: en-US
main entity: Can Elasticsearch do real-time analytics like Pinot?
  type: Question
  accepted answer: Answer
    text: Elasticsearch can perform analytics, but it's not optimized for it. Query latency on billion-row datasets typically ranges 500-2000ms vs. Pinot's 50-500ms. Elasticsearch's strength is real-time log indexing and text search; if you need fast numerical aggregations at massive scale, Pinot is superior. For hybrid workloads, some teams use both.
    language: en-US
main entity: What are the cost implications of choosing between them?
  type: Question
  accepted answer: Answer
    text: Pinot's 0.1-0.3x compression ratio means 5-10x lower storage costs at petabyte scale. However, Elasticsearch has lower operational complexity and requires fewer expert DevOps resources. At 10 PB scale, Pinot can save $500K-$1M annually in storage; at 100 GB scale, Elasticsearch is cheaper due to its simplicity and smaller cluster requirements.
    language: en-US
main entity: Can I migrate from Elasticsearch to Pinot?
  type: Question
  accepted answer: Answer
    text: Direct migration is not straightforward since they serve different use cases. Elasticsearch data (inverted indices) maps poorly to Pinot's columnar format. Most teams that switch run both systems in parallel: Elasticsearch for logs/search, Pinot for analytics. If considering a switch, build a new Pinot cluster in parallel and backfill from your data source (Kafka, S3) rather than attempting data port.
    language: en-US
main entity: Which has better community support and documentation?
  type: Question
  accepted answer: Answer
    text: Elasticsearch has a significantly larger community (68K vs 9.2K GitHub stars), more third-party integrations, and broader vendor support. Pinot's documentation is comprehensive but smaller community means fewer Stack Overflow answers. For enterprise support, Elastic offers commercial licenses; Pinot is backed by Apache and community support through LinkedIn/DoorDash (major users).
    language: en-US

Infrastructure Management
type: PropertyValue
value reference: Operations

Maximum Daily Event Throughput
type: PropertyValue
value reference: Scalability

Time to Deploy
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value reference: Time to Value

Concurrent Users Supported
type: PropertyValue
value reference: Scalability

Ingestion Rate (events/second)
type: PropertyValue
value reference: Performance

Query Latency (1B rows)
type: PropertyValue
value reference: Performance

Maximum Recommended Dataset Size
type: PropertyValue
value reference: Performance

Deployment Time
type: PropertyValue
value reference: Complexity

Minimum Cluster Size
type: PropertyValue
value reference: Infrastructure

Memory Per Node
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value reference: Resource Efficiency

Multi-node Support
type: PropertyValue
value reference: Architecture

Real-time Upsert Support
type: PropertyValue
value reference: Features

Typical Query Latency (1B rows, GROUP BY)
type: PropertyValue
value reference: Performance

Index Size to Data Ratio
type: PropertyValue
value reference: Storage Efficiency

Full-Text Search Optimization
type: PropertyValue
value reference: Search Capability

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

Real-Time Ingestion Support
type: PropertyValue
value reference: Data Ingestion

Typical Deployment Complexity
type: PropertyValue
value reference: Operations

Maximum Practical Dataset Size
type: PropertyValue
value reference: Scalability

SQL Query Support
type: PropertyValue
value reference: Query Language

Monthly Ingestion Cost per GB
type: PropertyValue
value reference: Pricing

Free Tier Data Retention
type: PropertyValue
value reference: Data Management

Maximum Data Volume per Cluster
type: PropertyValue
value reference: Scalability

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

Deployment Options
type: PropertyValue
value reference: Infrastructure

Average Customer Onboarding Time
type: PropertyValue
value reference: Customer Success

Base Annual Cost (Small Deployment)
type: PropertyValue
value reference: Pricing

Per-Gigabyte Ingestion Cost
type: PropertyValue
value reference: Pricing

Query Response Time (1B records)
type: PropertyValue
value reference: Performance

Built-in Compliance Certifications
type: PropertyValue
value reference: Security

Machine Learning Use Cases Included
type: PropertyValue
value reference: Analytics

Maximum Cluster Nodes
type: PropertyValue
value reference: Scalability

Community Support Response Time
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value reference: Support

Query Latency (50th percentile)
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value reference: Performance

Data Compression Ratio (metrics)
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value reference: Storage

GitHub Stars
type: PropertyValue
value reference: Community

Minimum Cluster Node Count
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Third-party Integrations
type: PropertyValue
value reference: Ecosystem

Memory Overhead (1M events)
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value reference: Resources

Total Cost of Ownership (Year 1)
type: PropertyValue
value reference: Pricing

Average Time to Root Cause (MTTR)
type: PropertyValue
value reference: Performance

Implementation Timeline
type: PropertyValue
value reference: Deployment

Supported Technologies
type: PropertyValue
value reference: Compatibility

Data Retention (Default)
type: PropertyValue
value reference: Data Management

Ingest Rate (Typical)
type: PropertyValue
value reference: Scalability

Learning Curve
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value reference: Developer Experience

API Complexity
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Average Query Latency
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value reference: Performance

Minimum RAM Requirement
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Enterprise Market Share
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GitHub Community Size
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Replication Setup Time
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value reference: Operations

Bulk Indexing Performance
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value reference: Performance

Annual Commercial Support Cost
type: PropertyValue
value reference: Cost

Faceted Search Native Support
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value reference: Features

Time to First Production Deployment
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value reference: Implementation

Monthly Cost (100GB index, 1M queries/month)
type: PropertyValue
value reference: Pricing

Maximum Practical Index Size
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value reference: Scalability

Infrastructure Management Requirement
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API Response Time for Simple Search
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Customization Depth (1-10 scale)
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Support SLA Response Time
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value reference: Support

Time to Production
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Monthly Cost (1TB/day ingestion)
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Price per GB Ingested
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Out-of-Box Integrations
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Default Data Retention
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Infrastructure Management Overhead
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Query Language Complexity
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Setup Complexity (1-10 scale)
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value reference: Deployment & Usability

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Setup Time to First Query
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Query Latency (p95 on 1M docs)
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value reference: Performance

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Aggregation Types Supported
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Default Typo Tolerance
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GitHub Stars (Community Size)
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value reference: Community

Annual Infrastructure Cost (100M docs)
type: PropertyValue
value reference: Cost

Enterprise Market Share (2024)
type: PropertyValue
value reference: Adoption & Community

Time to First Production Insight
type: PropertyValue
value reference: Deployment & Speed

Automatic Instrumentation Coverage
type: PropertyValue
value reference: Ease of Use

Starting Annual Cost
type: PropertyValue
value reference: Pricing

AI-Powered Root Cause Analysis
type: PropertyValue
value reference: Intelligence

Query Language Flexibility
type: PropertyValue
value reference: Customization

Community Size & Resources
type: PropertyValue
value reference: Support & Ecosystem

Mean Time to Resolution (MTTR) Improvement
type: PropertyValue
value reference: Performance Impact

Infrastructure Setup Complexity
type: PropertyValue
value reference: Operations

Average Time to Value
type: PropertyValue
value reference: Implementation

Total Cost of Ownership (3-year, 500GB/month ingestion)
type: PropertyValue
value reference: Cost

Number of Pre-built Integrations
type: PropertyValue
value reference: Features

Supported Data Types
type: PropertyValue
value reference: Functionality

Data Retention Default
type: PropertyValue
value reference: Storage

Query Performance on 1TB Index
type: PropertyValue
value reference: Performance

Required Infrastructure Team Size (100 users)
type: PropertyValue
value reference: Operations

Community Size
type: PropertyValue
value reference: Community

Memory Usage (Baseline Configuration)
type: PropertyValue
value reference: Performance

Search Latency (99th Percentile)
type: PropertyValue
value reference: Performance

Maximum Dataset Size (Practical Limit)
type: PropertyValue
value reference: Scalability

Setup Time (Basic Deployment)
type: PropertyValue
value reference: Deployment

Available Integrations
type: PropertyValue
value reference: Ecosystem

Full-Text Search Languages Supported
type: PropertyValue
value reference: Features

Typo Tolerance (Out-of-Box)
type: PropertyValue
value reference: Features

Production Deployments (Estimated)
type: PropertyValue
value reference: Adoption

Annual Cost for 500GB/day Ingestion
type: PropertyValue
value reference: Cost

Minimum Required DevOps FTE
type: PropertyValue
value reference: Operations

Pre-built Integrations
type: PropertyValue
value reference: Features

Query Language Expressiveness
type: PropertyValue
value reference: Functionality

Data Retention Cost per GB/month
type: PropertyValue
value reference: Cost

SLA Uptime Guarantee
type: PropertyValue
value reference: Reliability

Open Source
type: PropertyValue
value reference: Licensing