vs

Marqo vs Vespa

Marqo: End-to-end tensor search engine that embeds text and images for you, built on Vespa. Vespa: Big-data serving engine for search, recommendation and RAG with tensors and ML ranking.

key differences

  • Marqo is primarily a vector database; Vespa is search engine.
  • Vespa is built for larger datasets (Multi-PB) than Marqo (≤ 10 TB).
  • Horizontal scaling is addon in Marqo and native in Vespa.
  • Transactions: Marqo offers none ACID; Vespa offers limited.
  • Only Vespa has geospatial, ttl / expiry, compression, online schema changes, streaming ingest.

choose marqo for

  • +Multimodal product and image search
  • +Prototyping semantic search without an embedding pipeline
  • +E-commerce discovery

best at · Vector search, 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
Vector
Search Engine
Also supports
Search Engine, Document
Vector, Document
Type
Database engine
Database engine
Status
Active
Active
Developer
Marqo
Vespa.ai
First release
2022
2017
Latest version
2.26.0 (Apr 7, 2026)
8.763.13 (Oct 5, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
14.5
23.8
Rank
#229
#127
GitHub stars
5K
7.1K
Stack Overflow questions
–
262
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Massive (Multi-PB)
Horizontal scaling
Addon
Native
Multi-region
None
Read replicas
ACID
None
Limited
Consistency
Eventual
Eventual
Schema
Flexible
Strict
Architecture
Single node, Client server
Distributed, 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
Marqo search API (JSON)
YQL
Client languages
Python, JavaScript
Java, Python, Go
Best for
Vector search, Search, RAG
Search, Vector search, RAG, Real-time analytics

Marqo vs Vespa: FAQ

What is the difference between Marqo and Vespa?

Marqo: End-to-end tensor search engine that embeds text and images for you, built on Vespa. Vespa: Big-data serving engine for search, recommendation and RAG with tensors and ML ranking. Marqo is primarily a vector database; Vespa is search engine. Vespa is built for larger datasets (Multi-PB) than Marqo (≤ 10 TB). Horizontal scaling is addon in Marqo and native in Vespa.

When should I choose Marqo over Vespa?

Choose Marqo for multimodal product and image search; prototyping semantic search without an embedding pipeline; and E-commerce discovery. Choose Vespa for large-scale hybrid search and RAG retrieval; recommendation and personalization feeds; and ad serving and ranking.

Is Marqo or Vespa more popular?

Vespa ranks #127 on the WhichDB Score (23.8/100) and Marqo ranks #229 (14.5/100). Popularity is not fit: check the requirements that matter for your project.

Are Marqo and Vespa open source?

Yes. Marqo is open source. License: Apache License 2.0. Yes. Vespa is open source. License: Apache License 2.0.