vs

Elasticsearch vs Vespa

Elasticsearch: Lucene-based distributed search and analytics engine for text, vectors, logs and metrics. Vespa: Big-data serving engine for search, recommendation and RAG with tensors and ML ranking.

key differences

  • Licensing: Elasticsearch is open source (copyleft) (AGPL-3.0, SSPL 1.0 or Elastic License 2.0 (your choice)); Vespa is open source (permissive) (Apache License 2.0).
  • Only Elasticsearch has joins, role-based access.
  • Only Vespa has ttl / expiry.
  • Elasticsearch has a serverless option; Vespa 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 vespa for

  • +Large-scale hybrid search and RAG retrieval
  • +Recommendation and personalization feeds
  • +Ad serving and ranking
  • +E-commerce search with learned ranking

best at · Search, Vector search, RAG

overview
Primary model
Search Engine
Search Engine
Also supports
Document, Vector, Spatial, Time-Series
Vector, Document
Type
Database engine
Database engine
Status
Active
Active
Developer
Elastic N.V.
Vespa.ai
First release
2010
2017
Latest version
9.5.5 (Oct 6, 2026)
8.763.13 (Oct 5, 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
23.8
Rank
#6
#127
GitHub stars
78.4K
7.1K
Stack Overflow questions
58.2K
262
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
Read replicas
ACID
Limited
Limited
Consistency
Eventual
Eventual
Schema
Flexible
Strict
Architecture
Distributed, Client server
Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Google Cloud, Azure
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
YQL
Client languages
Java, Python, JavaScript, Go, .NET, Ruby, PHP, Rust
Java, Python, Go
Best for
Search, Vector search, RAG, Observability
Search, Vector search, RAG, Real-time analytics

Elasticsearch vs Vespa: FAQ

What is the difference between Elasticsearch and Vespa?

Elasticsearch: Lucene-based distributed search and analytics engine for text, vectors, logs and metrics. Vespa: Big-data serving engine for search, recommendation and RAG with tensors and ML ranking. Licensing: Elasticsearch is open source (copyleft) (AGPL-3.0, SSPL 1.0 or Elastic License 2.0 (your choice)); Vespa is open source (permissive) (Apache License 2.0). Only Elasticsearch has joins, role-based access. Only Vespa has ttl / expiry.

When should I choose Elasticsearch over Vespa?

Choose Elasticsearch for E-commerce and site search with faceting; log, metrics and SIEM analytics; and hybrid keyword plus semantic retrieval for RAG. Choose Vespa for large-scale hybrid search and RAG retrieval; recommendation and personalization feeds; and ad serving and ranking.

Is Elasticsearch or Vespa more popular?

Elasticsearch ranks #6 on the WhichDB Score (75.1/100) and Vespa ranks #127 (23.8/100). Popularity is not fit: check the requirements that matter for your project.

Are Elasticsearch and Vespa open source?

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