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Elasticsearch vs Quickwit

Elasticsearch: Lucene-based distributed search and analytics engine for text, vectors, logs and metrics. Quickwit: Cloud-native search engine on object storage for logs and traces, built on Tantivy.

key differences

  • Licensing: Elasticsearch is open source (copyleft) (AGPL-3.0, SSPL 1.0 or Elastic License 2.0 (your choice)); Quickwit is open source (permissive) (Apache License 2.0).
  • Transactions: Elasticsearch offers limited ACID; Quickwit offers none.
  • Only Elasticsearch has joins, secondary indexes, vector search, geospatial, role-based access.
  • Only Quickwit has ttl / expiry, columnar storage.
  • Elasticsearch has a serverless option; Quickwit does not.

choose elasticsearch for

  • +E-commerce and site search with faceting
  • +Log, metrics and SIEM analytics
  • +Hybrid keyword plus semantic retrieval for RAG
  • +Geospatial search and aggregations

best at · Search, Vector search, RAG

choose quickwit for

  • +Log search and retention at large scale
  • +Distributed tracing backend
  • +Security and audit event search
  • +Cheap replacement for Elasticsearch hot-warm logging clusters

best at · Observability, Search, Time-series

overview
Primary model
Search Engine
Search Engine
Also supports
Document, Vector, Spatial, Time-Series
Document, Time-Series
Type
Database engine
Database engine
Status
Active
Active
Developer
Elastic N.V.
Quickwit (Datadog)
First release
2010
2021
Latest version
9.5.5 (Oct 6, 2026)
0.9.3 (Oct 22, 2026)
License
Open source (copyleft)AGPL-3.0, SSPL 1.0 or Elastic License 2.0 (your choice)
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
75.1
11.9
Rank
#6
#275
GitHub stars
78.4K
11.7K
Stack Overflow questions
58.2K
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
None
ACID
Limited
None
Consistency
Eventual
Eventual
Schema
Flexible
Flexible
Architecture
Distributed, Client server
Distributed, Shared storage
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
—
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Google Cloud, Azure
–
capabilities
Transactions
—
—
Joins
✓
—
Secondary indexes
✓
—
Full-text search
✓
✓
Vector search
✓
—
Geospatial
✓
—
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
✓
Pub/Sub
—
—
Columnar storage
—
✓
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
—
Role-based access
✓
—
Time travel
—
—
Branching
—
—
Online schema changes
✓
—
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
Query DSL, ES|QL, SQL, EQL
Quickwit query language, Elasticsearch Query DSL (subset)
Client languages
Java, Python, JavaScript, Go, .NET, Ruby, PHP, Rust
Any HTTP client
Best for
Search, Vector search, RAG, Observability
Observability, Search, Time-series

Elasticsearch vs Quickwit: FAQ

What is the difference between Elasticsearch and Quickwit?

Elasticsearch: Lucene-based distributed search and analytics engine for text, vectors, logs and metrics. Quickwit: Cloud-native search engine on object storage for logs and traces, built on Tantivy. Licensing: Elasticsearch is open source (copyleft) (AGPL-3.0, SSPL 1.0 or Elastic License 2.0 (your choice)); Quickwit is open source (permissive) (Apache License 2.0). Transactions: Elasticsearch offers limited ACID; Quickwit offers none. Only Elasticsearch has joins, secondary indexes, vector search, geospatial, role-based access.

When should I choose Elasticsearch over Quickwit?

Choose Elasticsearch for E-commerce and site search with faceting; log, metrics and SIEM analytics; and hybrid keyword plus semantic retrieval for RAG. Choose Quickwit for log search and retention at large scale; distributed tracing backend; and security and audit event search.

Is Elasticsearch or Quickwit more popular?

Elasticsearch ranks #6 on the WhichDB Score (75.1/100) and Quickwit ranks #275 (11.9/100). Popularity is not fit: check the requirements that matter for your project.

Are Elasticsearch and Quickwit open source?

Yes. Elasticsearch is open source. License: AGPL-3.0, SSPL 1.0 or Elastic License 2.0 (your choice). Yes. Quickwit is open source. License: Apache License 2.0.