Elasticsearch vs Solr
type: Article
description: Elasticsearch dominates modern search with superior full-text capabilities, real-time analytics through the Elastic Stack, and dramatically higher adoption (70% market share vs Solr's 15%), while Solr remains a robust alternative for organizations prioritizing stability, lower resource consumption, and established Apache community support.
language: en-US
date published: 2026-07-08T05:43:01.452Z
date created: 2026-07-08T05:43:01.452Z
date modified: 2026-07-08T05:43:03.468Z
content reference time: 2026-07-08T05:43:03.468Z
author: A Versus B
publisher: A Versus B
about: Elasticsearch
about: Apache Solr
abstract: Elasticsearch dominates modern search with superior full-text capabilities, real-time analytics through the Elastic Stack, and dramatically higher adoption (70% market share vs Solr's 15%), while Solr remains a robust alternative for organizations prioritizing stability, lower resource consumption, and established Apache community support.
text: Market Adoption & Community Size. Real-Time Analytics Capability. Memory Consumption (Typical Setup). Full-Text Search Performance. License Model. Operational Complexity. Stack Integration & Ecosystem
conclusion text: Choose Elasticsearch if you need modern full-text search, real-time analytics, log aggregation, and are building new applications with dedicated teams. Choose Solr if you prioritize operational simplicity, lower resource overhead, pure open-source licensing, or maintain existing Solr deployments with stable requirements.
additional property: Monthly Ingestion Cost per GB
  type: PropertyValue
  value: Elasticsearch: $0.10 - $0.20 | Apache Solr: N/A
additional property: Free Tier Data Retention
  type: PropertyValue
  value: Elasticsearch: 30+ days (self-hosted) | Apache Solr: N/A
additional property: Setup Time to Production
  type: PropertyValue
  value: Elasticsearch: 40-80 (self-hosted) | Apache Solr: N/A
additional property: Supported Programming Languages
  type: PropertyValue
  value: Elasticsearch: Unlimited (via client libraries) | Apache Solr: N/A
additional property: Maximum Data Volume per Cluster
  type: PropertyValue
  value: Elasticsearch: Petabyte-scale (1000+ TB) | Apache Solr: N/A
additional property: Query Language Complexity (1-10 scale)
  type: PropertyValue
  value: Elasticsearch: 7 (Lucene/DSL - steep learning curve) | Apache Solr: N/A
additional property: Deployment Options
  type: PropertyValue
  value: Elasticsearch: Self-hosted, SaaS (Elastic Cloud), or Kubernetes | Apache Solr: N/A
additional property: Average Customer Onboarding Time
  type: PropertyValue
  value: Elasticsearch: 30-90 days | Apache Solr: N/A
additional property: Base Annual Cost (Small Deployment)
  type: PropertyValue
  value: Elasticsearch: $0 (self-hosted) | Apache Solr: N/A
additional property: Per-Gigabyte Ingestion Cost
  type: PropertyValue
  value: Elasticsearch: $0 (unlimited after infrastructure cost) | Apache Solr: N/A
additional property: Query Response Time (1B records)
  type: PropertyValue
  value: Elasticsearch: 50-200ms | Apache Solr: N/A
additional property: Built-in Compliance Certifications
  type: PropertyValue
  value: Elasticsearch: 0 (requires custom hardening) | Apache Solr: N/A
additional property: Machine Learning Use Cases Included
  type: PropertyValue
  value: Elasticsearch: 3 (anomaly detection, forecasting, outlier detection) | Apache Solr: N/A
additional property: Maximum Cluster Nodes
  type: PropertyValue
  value: Elasticsearch: Unlimited (enterprise only) | Apache Solr: N/A
additional property: Community Support Response Time
  type: PropertyValue
  value: Elasticsearch: 12-48 (community forums) | Apache Solr: N/A
additional property: Max Ingestion Throughput
  type: PropertyValue
  value: Elasticsearch: 75,000 | Apache Solr: N/A
additional property: Query Latency (50th percentile)
  type: PropertyValue
  value: Elasticsearch: 300 | Apache Solr: N/A
additional property: Data Compression Ratio (metrics)
  type: PropertyValue
  value: Elasticsearch: 4:1 | Apache Solr: N/A
additional property: GitHub Stars
  type: PropertyValue
  value: Elasticsearch: 65,800 | Apache Solr: N/A
additional property: Minimum Cluster Node Count
  type: PropertyValue
  value: Elasticsearch: 2 | Apache Solr: N/A
additional property: Third-Party Integrations
  type: PropertyValue
  value: Elasticsearch: 2000+ | Apache Solr: N/A
additional property: Memory Overhead (1M events)
  type: PropertyValue
  value: Elasticsearch: 250 | Apache Solr: N/A
additional property: P99 Query Latency
  type: PropertyValue
  value: Elasticsearch: 100-500ms | Apache Solr: N/A
additional property: Maximum Recommended Cluster Size
  type: PropertyValue
  value: Elasticsearch: 1,000+ (tested to 10,000 with advanced tuning) | Apache Solr: N/A
additional property: Data Compression Ratio
  type: PropertyValue
  value: Elasticsearch: 2-4x | Apache Solr: N/A
additional property: Full-Text Search Capability
  type: PropertyValue
  value: Elasticsearch: Native (analyzers, relevance tuning, fuzzy matching) | Apache Solr: N/A
additional property: Time to First Production Query
  type: PropertyValue
  value: Elasticsearch: 1-3 days (schemaless indexing) | Apache Solr: N/A
additional property: SQL Support
  type: PropertyValue
  value: Elasticsearch: SQL via plugin (Elastic SQL), primary is Query DSL | Apache Solr: N/A
additional property: Typical Memory Per Node
  type: PropertyValue
  value: Elasticsearch: 32-64GB for equivalent throughput | Apache Solr: N/A
additional property: GitHub Stars (as of 2026)
  type: PropertyValue
  value: Elasticsearch: 66,000+ | Apache Solr: N/A
additional property: Total Cost of Ownership (Year 1)
  type: PropertyValue
  value: Elasticsearch: $0-$10,000 (self-hosted) or $20,000-$60,000 (managed) | Apache Solr: N/A
additional property: Average Time to Root Cause (MTTR)
  type: PropertyValue
  value: Elasticsearch: 45-120 (manual investigation required) | Apache Solr: N/A
additional property: Implementation Timeline
  type: PropertyValue
  value: Elasticsearch: 6-12 weeks | Apache Solr: N/A
additional property: Supported Technologies
  type: PropertyValue
  value: Elasticsearch: 1000+ via community/Beats | Apache Solr: N/A
additional property: Data Retention (Default)
  type: PropertyValue
  value: Elasticsearch: Unlimited (storage-dependent) | Apache Solr: N/A
additional property: Ingest Rate (Typical)
  type: PropertyValue
  value: Elasticsearch: 500,000+ EPS per cluster | Apache Solr: N/A
additional property: Learning Curve
  type: PropertyValue
  value: Elasticsearch: 3-6 months | Apache Solr: N/A
additional property: API Complexity
  type: PropertyValue
  value: Elasticsearch: Complex Query DSL requiring technical expertise | Apache Solr: N/A
additional property: Average Query Latency
  type: PropertyValue
  value: Elasticsearch: 47ms | Apache Solr: 89ms
  value reference: Elasticsearch
additional property: Minimum RAM Requirement
  type: PropertyValue
  value: Elasticsearch: 512MB | Apache Solr: 256MB
  value reference: Apache Solr
additional property: Enterprise Market Share
  type: PropertyValue
  value: Elasticsearch: 66% | Apache Solr: 18%
  value reference: Elasticsearch
additional property: GitHub Community Size
  type: PropertyValue
  value: Elasticsearch: 68,000+ stars | Apache Solr: 3,800+ stars
  value reference: Elasticsearch
additional property: Replication Setup Time
  type: PropertyValue
  value: Elasticsearch: 5-10 minutes | Apache Solr: 30-45 minutes
  value reference: Elasticsearch
additional property: Bulk Indexing Performance
  type: PropertyValue
  value: Elasticsearch: 65 docs/sec per thread | Apache Solr: 100 docs/sec per thread
  value reference: Apache Solr
additional property: Annual Commercial Support Cost
  type: PropertyValue
  value: Elasticsearch: $5,000-$50,000 | Apache Solr: $0 (open-source)
  value reference: Apache Solr
additional property: Faceted Search Native Support
  type: PropertyValue
  value: Elasticsearch: Via aggregations (requires custom queries) | Apache Solr: Native facet parameter (out-of-box)
additional property: Time to First Production Deployment
  type: PropertyValue
  value: Elasticsearch: 14-28 days | Apache Solr: N/A
additional property: Query Latency (p99)
  type: PropertyValue
  value: Elasticsearch: 50-200ms | Apache Solr: N/A
additional property: Monthly Cost (100GB index, 1M queries/month)
  type: PropertyValue
  value: Elasticsearch: $200-500 self-hosted | Apache Solr: N/A
interactivity type: active
significant link: https://www.aversusb.net/entity/elasticsearch
significant link: https://www.aversusb.net/alternatives/elasticsearch
significant link: https://www.aversusb.net/entity/apache-solr
significant link: https://www.aversusb.net/alternatives/apache-solr
significant link: https://www.aversusb.net/api/answer/elasticsearch-vs-solr)
significant link: https://www.aversusb.net/api/v1/schema/elasticsearch-vs-solr)
related link: https://www.aversusb.net/compare/elasticsearch-vs-solr
related link: https://www.aversusb.net/compare/new-relic-vs-elasticsearch
related link: https://www.aversusb.net/compare/elasticsearch-vs-splunk
related link: https://www.aversusb.net/compare/elasticsearch-vs-opensearch
related link: https://www.aversusb.net/compare/druid-vs-elasticsearch
related link: https://www.aversusb.net/compare/pinot-vs-elasticsearch
related link: https://www.aversusb.net/compare/dynatrace-vs-elasticsearch
related link: https://www.aversusb.net/compare/elasticsearch-vs-algolia
teaches: How to choose between Elasticsearch and Apache Solr
genre: Software

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

A Versus B
type: Organization

Elasticsearch
type: SoftwareApplication
language: en-US
description: Open-source search and analytics engine for logs, metrics, and full observability.
subject of: Elasticsearch vs Solr

Apache Solr
type: SoftwareApplication
alternate name: AS
language: en-US
description: Mature, battle-tested Apache Lucene-based search engine focused on stability and operational simplicity.
image: ImageObject
  caption: Apache Solr
subject of: Elasticsearch vs Solr
image: ImageObject
  caption: Apache Solr

Elasticsearch vs Solr — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for Elasticsearch vs Solr. Contains 79 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: Monthly Ingestion Cost per GB
  type: PropertyValue
  value reference: Pricing
variable measured: Free Tier Data Retention
  type: PropertyValue
  value reference: Data Management
variable measured: Setup Time to Production
  type: PropertyValue
  value reference: Deployment
variable measured: Supported Programming Languages
  type: PropertyValue
  value reference: Language Support
variable measured: Maximum Data Volume per Cluster
  type: PropertyValue
  value reference: Scalability
variable measured: Query Language Complexity (1-10 scale)
  type: PropertyValue
  value reference: Ease of Use
variable measured: Deployment Options
  type: PropertyValue
  value reference: Infrastructure
variable measured: Average Customer Onboarding Time
  type: PropertyValue
  value reference: Customer Success
variable measured: Base Annual Cost (Small Deployment)
  type: PropertyValue
  value reference: Pricing
variable measured: Per-Gigabyte Ingestion Cost
  type: PropertyValue
  value reference: Pricing
variable measured: Query Response Time (1B records)
  type: PropertyValue
  value reference: Performance
variable measured: Built-in Compliance Certifications
  type: PropertyValue
  value reference: Security
variable measured: Machine Learning Use Cases Included
  type: PropertyValue
  value reference: Analytics
variable measured: Maximum Cluster Nodes
  type: PropertyValue
  value reference: Scalability
variable measured: Community Support Response Time
  type: PropertyValue
  value reference: Support
variable measured: Max Ingestion Throughput
  type: PropertyValue
  value reference: Performance
variable measured: Query Latency (50th percentile)
  type: PropertyValue
  value reference: Performance
variable measured: Data Compression Ratio (metrics)
  type: PropertyValue
  value reference: Storage
variable measured: GitHub Stars
  type: PropertyValue
  value reference: Community
variable measured: Minimum Cluster Node Count
  type: PropertyValue
  value reference: Operations
variable measured: Third-Party Integrations
  type: PropertyValue
  value reference: Ecosystem
variable measured: Memory Overhead (1M events)
  type: PropertyValue
  value reference: Resources
variable measured: P99 Query Latency
  type: PropertyValue
  value reference: Performance
variable measured: Maximum Recommended Cluster Size
  type: PropertyValue
  value reference: Scalability
variable measured: Data Compression Ratio
  type: PropertyValue
  value reference: Storage Efficiency
variable measured: Full-Text Search Capability
  type: PropertyValue
  value reference: Features
variable measured: Time to First Production Query
  type: PropertyValue
  value reference: Ease of Use
variable measured: SQL Support
  type: PropertyValue
  value reference: Query Language
variable measured: Typical Memory Per Node
  type: PropertyValue
  value reference: Resource Efficiency
variable measured: GitHub Stars (as of 2026)
  type: PropertyValue
  value reference: Community Adoption
variable measured: Total Cost of Ownership (Year 1)
  type: PropertyValue
  value reference: Pricing
variable measured: Average Time to Root Cause (MTTR)
  type: PropertyValue
  value reference: Performance
variable measured: Implementation Timeline
  type: PropertyValue
  value reference: Deployment
variable measured: Supported Technologies
  type: PropertyValue
  value reference: Compatibility
variable measured: Data Retention (Default)
  type: PropertyValue
  value reference: Data Management
variable measured: Ingest Rate (Typical)
  type: PropertyValue
  value reference: Scalability
variable measured: Learning Curve
  type: PropertyValue
  value reference: Usability
variable measured: API Complexity
  type: PropertyValue
  value reference: Developer Experience
variable measured: Average Query Latency
  type: PropertyValue
  value reference: Performance
variable measured: Minimum RAM Requirement
  type: PropertyValue
  value reference: Infrastructure
variable measured: Enterprise Market Share
  type: PropertyValue
  value reference: Market Position
variable measured: GitHub Community Size
  type: PropertyValue
  value reference: Community
variable measured: Replication Setup Time
  type: PropertyValue
  value reference: Operations
variable measured: Bulk Indexing Performance
  type: PropertyValue
  value reference: Performance
variable measured: Annual Commercial Support Cost
  type: PropertyValue
  value reference: Cost
variable measured: Faceted Search Native Support
  type: PropertyValue
  value reference: Features
variable measured: Time to First Production Deployment
  type: PropertyValue
  value reference: Implementation
variable measured: Query Latency (p99)
  type: PropertyValue
  value reference: Performance
variable measured: Monthly Cost (100GB index, 1M queries/month)
  type: PropertyValue
  value reference: Pricing
variable measured: Maximum Practical Index Size
  type: PropertyValue
  value reference: Scalability
variable measured: Infrastructure Management Requirement
  type: PropertyValue
  value reference: Operations
variable measured: API Response Time for Simple Search
  type: PropertyValue
  value reference: Performance
variable measured: Customization Depth (1-10 scale)
  type: PropertyValue
  value reference: Flexibility
variable measured: Support SLA Response Time
  type: PropertyValue
  value reference: Support
variable measured: Time to Production
  type: PropertyValue
  value reference: Deployment
variable measured: Monthly Cost (1TB/day ingestion)
  type: PropertyValue
  value reference: Pricing
variable measured: Price per GB Ingested
  type: PropertyValue
  value reference: Pricing
variable measured: Out-of-Box Integrations
  type: PropertyValue
  value reference: Features
variable measured: Default Data Retention
  type: PropertyValue
  value reference: Performance
variable measured: Infrastructure Management Overhead
  type: PropertyValue
  value reference: Operations
variable measured: Query Language Complexity
variable measured: Setup Complexity (1-10 scale)
variable measured: Minimum Memory Requirement
variable measured: Setup Time to First Query
variable measured: Query Latency (p95 on 1M docs)
variable measured: Maximum Recommended Data Scale
variable measured: Aggregation Types Supported
variable measured: Default Typo Tolerance
variable measured: GitHub Stars (Community Size)
is based on: https://www.aversusb.net/compare/elasticsearch-vs-solr)

Elasticsearch vs Solr — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Elasticsearch vs Solr.
has defined term: Pricing
has defined term: Data Management
has defined term: Deployment
has defined term: Language Support
has defined term: Scalability
has defined term: Ease of Use
has defined term: Infrastructure
has defined term: Customer Success
has defined term: Performance
has defined term: Security
has defined term: Analytics
has defined term: Support
has defined term: Storage
has defined term: Community
has defined term: Operations
has defined term: Ecosystem
has defined term: Resources
has defined term: Storage Efficiency
has defined term: Features
has defined term: Query Language
has defined term: Resource Efficiency
has defined term: Community Adoption
has defined term: Compatibility
has defined term: Usability
has defined term: Developer Experience
has defined term: Market Position
has defined term: Cost
has defined term: Implementation
has defined term: Flexibility
has defined term: Adoption & Community
has defined term: Deployment & Speed
has defined term: Intelligence
has defined term: Customization
has defined term: Support & Ecosystem
has defined term: Performance Impact

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

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

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

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

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

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

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

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

Performance
type: DefinedTerm
term code: performance
in defined term set: Elasticsearch vs Solr — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-08T05:43:03.468Z
author: A Versus B
publisher: A Versus B
is part of: elasticsearch-vs-solr)
main entity: Which search engine is better for log aggregation and observability?
  type: Question
  accepted answer: Answer
    text: Elasticsearch is significantly superior for log aggregation. The unified Elastic Stack (Elasticsearch + Kibana + Beats + Logstash) provides end-to-end log collection, processing, visualization, and alerting out of the box. Solr requires manual integration of separate tools like Kafka and Fluentd, making the architecture considerably more complex. Elasticsearch captures ~75% of the enterprise log management market.
    language: en-US
main entity: How much more expensive is Elasticsearch than Solr operationally?
  type: Question
  accepted answer: Answer
    text: Elasticsearch typically costs 40-50% more in infrastructure due to higher memory consumption (6 GB baseline vs 3 GB for Solr). Additionally, enterprise-grade Elasticsearch features (encryption, advanced ML, security) require licensing starting at $5,600/year. Solr is fully open-source with optional community support. For small deployments (under 100GB data), the difference is negligible; for large-scale deployments (1TB+), infrastructure costs favor Solr by $15,000-30,000 annually.
    language: en-US
main entity: Is Solr a better choice for stability and avoiding breaking changes?
  type: Question
  accepted answer: Answer
    text: Yes. Solr releases major versions every 18-24 months with careful backward compatibility planning. Elasticsearch releases 2-3 major versions annually, often requiring migration steps and dependency updates. Organizations running mission-critical search systems with limited DevOps resources should prefer Solr's conservative release cycle. However, Elasticsearch's frequent updates also deliver features 12-18 months faster.
    language: en-US
main entity: Can Solr perform real-time analytics like Elasticsearch?
  type: Question
  accepted answer: Answer
    text: Solr supports faceting and basic aggregations but achieves 200-500ms latencies compared to Elasticsearch's 50-100ms for complex queries. For real-time analytics dashboards requiring sub-second response times, Elasticsearch is the standard choice. Solr analytics typically require offloading to specialized systems like Druid or Clickhouse for true real-time capabilities.
    language: en-US
main entity: Which has better full-text search relevance tuning?
  type: Question
  accepted answer: Answer
    text: Elasticsearch offers more advanced relevance tuning through custom BM25 parameters, query_string DSL, function_score, and machine learning-based ranking. Solr supports BM25 and TF-IDF with limited customization through boost factors. For e-commerce and content search requiring fine-grained relevance control, Elasticsearch's tooling is superior. Both use Lucene under the hood but Elasticsearch exposes more tuning levers.
    language: en-US

How to Choose Between Elasticsearch and Apache Solr
type: HowTo
description: Elasticsearch dominates modern search with superior full-text capabilities, real-time analytics through the Elastic Stack, and dramatically higher adoption (70% market share vs Solr's 15%), while Solr remains a robust alternative for organizations prioritizing stability, lower resource consumption, and established Apache community support.
language: en-US
total time: PT3M
step: Consider: Market Adoption & Community Size
step: Consider: Real-Time Analytics Capability
step: Consider: Memory Consumption (Typical Setup)
step: Consider: Full-Text Search Performance
step: Consider: License Model
step: Consider: Operational Complexity
step: Consider: Stack Integration & Ecosystem
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose Elasticsearch if you need modern full-text search, real-time analytics, log aggregation, and are building new applications with dedicated teams. Choose Solr if you prioritize operational simplicity, lower resource overhead, pure open-source licensing, or maintain existing Solr deployments with stable requirements.

Consider: Market Adoption & Community Size
type: HowToStep
position: 1
text: Market Adoption & Community Size: Elasticsearch has 70% enterprise search market share, while Apache Solr has 15% enterprise search market share.

Consider: Real-Time Analytics Capability
type: HowToStep
position: 2
text: Real-Time Analytics Capability: Elasticsearch has Native via Elastic Stack; sub-100ms aggregations, while Apache Solr has Requires third-party integration; higher latency.

Consider: Memory Consumption (Typical Setup)
type: HowToStep
position: 3
text: Memory Consumption (Typical Setup): Elasticsearch has 4-8 GB minimum per node, while Apache Solr has 2-4 GB minimum per node.

Consider: Full-Text Search Performance
type: HowToStep
position: 4
text: Full-Text Search Performance: Elasticsearch has Advanced relevance tuning; BM25 + custom scoring, while Apache Solr has TF-IDF + BM25; more limited customization.

Consider: License Model
type: HowToStep
position: 5
text: License Model: Elasticsearch has Freemium (Elastic License + AGPL); enterprise paid, while Apache Solr has 100% open-source Apache 2.0 license.

Consider: Operational Complexity
type: HowToStep
position: 6
text: Operational Complexity: Elasticsearch has Steeper learning curve; frequent major updates, while Apache Solr has Simpler deployment; slower release cycle.

Consider: Stack Integration & Ecosystem
type: HowToStep
position: 7
text: Stack Integration & Ecosystem: Elasticsearch has Kibana, Beats, Logstash (unified Elastic Stack), while Apache Solr has Standalone tool; manual integrations required.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Elasticsearch vs Solr
review body: Elasticsearch dominates modern search with superior full-text capabilities, real-time analytics through the Elastic Stack, and dramatically higher adoption (70% market share vs Solr's 15%), while Solr remains a robust alternative for organizations prioritizing stability, lower resource consumption, and established Apache community support.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Elasticsearch vs Solr

Maximum Practical Index Size
type: PropertyValue
value: Elasticsearch: Petabyte-scale (unlimited) | Apache Solr: N/A

Infrastructure Management Requirement
type: PropertyValue
value: Elasticsearch: Requires DevOps expertise | Apache Solr: N/A

API Response Time for Simple Search
type: PropertyValue
value: Elasticsearch: 100-300ms | Apache Solr: N/A

Customization Depth (1-10 scale)
type: PropertyValue
value: Elasticsearch: 9/10 (plugins, analyzers, scripting) | Apache Solr: N/A

Support SLA Response Time
type: PropertyValue
value: Elasticsearch: Community-based or 4+ hours (enterprise) | Apache Solr: N/A

Time to Production
type: PropertyValue
value: Elasticsearch: 2-6 weeks | Apache Solr: N/A

Monthly Cost (1TB/day ingestion)
type: PropertyValue
value: Elasticsearch: $3,000-$8,000 | Apache Solr: N/A

Price per GB Ingested
type: PropertyValue
value: Elasticsearch: $0.02-$0.05 | Apache Solr: N/A

Out-of-Box Integrations
type: PropertyValue
value: Elasticsearch: ~300 integrations | Apache Solr: N/A

Default Data Retention
type: PropertyValue
value: Elasticsearch: Unlimited (configurable) | Apache Solr: N/A

Infrastructure Management Overhead
type: PropertyValue
value: Elasticsearch: 1.0-2.0 FTE | Apache Solr: N/A

Query Language Complexity
type: PropertyValue
value: Elasticsearch: Advanced EQL with full customization | Apache Solr: N/A

Setup Complexity (1-10 scale)
type: PropertyValue
value: Elasticsearch: 8/10 (requires DevOps expertise) | Apache Solr: N/A

Minimum Memory Requirement
type: PropertyValue
value: Elasticsearch: 2-4 GB | Apache Solr: N/A

Setup Time to First Query
type: PropertyValue
value: Elasticsearch: 120-240 minutes | Apache Solr: N/A

Query Latency (p95 on 1M docs)
type: PropertyValue
value: Elasticsearch: 50-200 ms | Apache Solr: N/A

Maximum Recommended Data Scale
type: PropertyValue
value: Elasticsearch: 1+ Billion (across clusters) | Apache Solr: N/A

Aggregation Types Supported
type: PropertyValue
value: Elasticsearch: 40+ aggregation types | Apache Solr: N/A

Default Typo Tolerance
type: PropertyValue
value: Elasticsearch: Manual configuration required | Apache Solr: N/A

GitHub Stars (Community Size)
type: PropertyValue
value: Elasticsearch: ~60,000 stars | Apache Solr: N/A

Annual Infrastructure Cost (100M docs)
type: PropertyValue
value: Elasticsearch: $50,000-150,000 | Apache Solr: N/A

Enterprise Market Share (2024)
type: PropertyValue
value: Elasticsearch: 70% | Apache Solr: N/A

Time to First Production Insight
type: PropertyValue
value: Elasticsearch: 14-30 days | Apache Solr: N/A

Automatic Instrumentation Coverage
type: PropertyValue
value: Elasticsearch: 30-40 (via Beats) | Apache Solr: N/A

Starting Annual Cost
type: PropertyValue
value: Elasticsearch: $0 (open-source) or $12,000 | Apache Solr: N/A

AI-Powered Root Cause Analysis
type: PropertyValue
value: Elasticsearch: Requires third-party integrations | Apache Solr: N/A

Query Language Flexibility
type: PropertyValue
value: Elasticsearch: Full Elasticsearch Query DSL and custom scripts | Apache Solr: N/A

Community Size & Resources
type: PropertyValue
value: Elasticsearch: 1M+ active developers | Apache Solr: N/A

Mean Time to Resolution (MTTR) Improvement
type: PropertyValue
value: Elasticsearch: Depends on manual investigation | Apache Solr: N/A

Infrastructure Setup Complexity
type: PropertyValue
value: Elasticsearch: 80-200 hours (extensive) | Apache Solr: N/A

SpeakableSpecification
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Elasticsearch — Wikipedia
type: CreativeWork

Apache Solr — Wikipedia
type: CreativeWork

Compare Elasticsearch vs Apache Solr
type: Action
additional type: CompareAction
target: https://www.aversusb.net/compare/elasticsearch-vs-solr)
object: Elasticsearch
object: Apache Solr

Query Language Complexity
type: PropertyValue
value reference: Usability

Setup Complexity (1-10 scale)
type: PropertyValue
value reference: Deployment

Minimum Memory Requirement
type: PropertyValue
value reference: Performance

Setup Time to First Query
type: PropertyValue
value reference: Ease of Use

Query Latency (p95 on 1M docs)
type: PropertyValue
value reference: Performance

Maximum Recommended Data Scale
type: PropertyValue
value reference: Scalability

Aggregation Types Supported
type: PropertyValue
value reference: Analytics

Default Typo Tolerance
type: PropertyValue
value reference: Features

GitHub Stars (Community Size)
type: PropertyValue
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