vs

Elasticsearch vs Typesense

Elasticsearch: Lucene-based distributed search and analytics engine for text, vectors, logs and metrics. Typesense: In-memory, typo-tolerant search engine in C++ with vector, hybrid and conversational search.

key differences

  • Elasticsearch is built for larger datasets (Multi-PB) than Typesense (≤ 100 GB).
  • Horizontal scaling is native in Elasticsearch and none in Typesense.
  • Only Elasticsearch has compression, online schema changes, streaming ingest.
  • Only Typesense has in-memory.
  • Elasticsearch has a serverless option; Typesense 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 typesense for

  • +E-commerce and marketplace search
  • +Docs and website search
  • +Geo search for listings
  • +Replacing Algolia to cut per-request costs

best at · Search, Vector search, RAG

overview
Primary model
Search Engine
Search Engine
Also supports
Document, Vector, Spatial, Time-Series
Document, Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
Elastic N.V.
Typesense, Inc.
First release
2010
2017
Latest version
9.5.5 (Oct 6, 2026)
30.2 (Apr 19, 2026)
License
Open source (copyleft)AGPL-3.0, SSPL 1.0 or Elastic License 2.0 (your choice)
Open source (copyleft)GNU GPL v3
Free tier
✓
✓
popularity
WhichDB Score
75.1
28.8
Rank
#6
#95
GitHub stars
78.4K
27.1K
Stack Overflow questions
58.2K
70
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Small (≤ 100 GB)
Horizontal scaling
Native
None
Multi-region
Read replicas
Read replicas
ACID
Limited
Limited
Consistency
Eventual
Strong
Schema
Flexible
Flexible
Architecture
Distributed, Client server
Primary replica, In memory, Client server
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
Typesense search API (JSON)
Client languages
Java, Python, JavaScript, Go, .NET, Ruby, PHP, Rust
JavaScript, Python, PHP, Ruby, Go, Java, Dart, Swift
Best for
Search, Vector search, RAG, Observability
Search, Vector search, RAG, Geo

Elasticsearch vs Typesense: FAQ

What is the difference between Elasticsearch and Typesense?

Elasticsearch: Lucene-based distributed search and analytics engine for text, vectors, logs and metrics. Typesense: In-memory, typo-tolerant search engine in C++ with vector, hybrid and conversational search. Elasticsearch is built for larger datasets (Multi-PB) than Typesense (≤ 100 GB). Horizontal scaling is native in Elasticsearch and none in Typesense. Only Elasticsearch has compression, online schema changes, streaming ingest.

When should I choose Elasticsearch over Typesense?

Choose Elasticsearch for E-commerce and site search with faceting; log, metrics and SIEM analytics; and hybrid keyword plus semantic retrieval for RAG. Choose Typesense for E-commerce and marketplace search; docs and website search; and geo search for listings.

Is Elasticsearch or Typesense more popular?

Elasticsearch ranks #6 on the WhichDB Score (75.1/100) and Typesense ranks #95 (28.8/100). Popularity is not fit: check the requirements that matter for your project.

Are Elasticsearch and Typesense open source?

Yes. Elasticsearch is open source. License: AGPL-3.0, SSPL 1.0 or Elastic License 2.0 (your choice). Yes. Typesense is open source. License: GNU GPL v3.