vs

JaguarDB vs Qdrant

JaguarDB: Distributed vector database from DataJaguar that also handles time series and geospatial data. Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud.

key differences

  • Licensing: JaguarDB is proprietary (Proprietary binaries (free download); client SDKs Apache-2.0); Qdrant is open source (permissive) (Apache License 2.0).
  • Transactions: JaguarDB offers limited ACID; Qdrant offers none.
  • Only JaguarDB has streaming ingest.
  • Only Qdrant has full-text search, json, compression, role-based access.
  • JaguarDB can run embedded in your application process.

choose jaguar for

  • +Similarity search over text and image embeddings
  • +Combining vector search with time-series or location filters
  • +Self-hosted RAG retrieval on Linux clusters

best at · Vector search, RAG, Time-series

choose qdrant for

  • +RAG retrieval with metadata filtering
  • +Recommendation and similarity search
  • +Image and multimodal search
  • +Multi-tenant semantic search

best at · Vector search, RAG

overview
Primary model
Vector
Vector
Also supports
Time-Series, Spatial
Document
Type
Database engine
Database engine
Status
Active
Active
Developer
DataJaguar, Inc.
Qdrant Solutions GmbH
First release
2017
2021
Latest version
jaguardb-http-client 3.6.1 (Oct 9, 2026)
1.20.0 (Oct 22, 2026)
License
ProprietaryProprietary binaries (free download); client SDKs Apache-2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
3.4
35.9
Rank
#437
#55
GitHub stars
–
35.3K
Stack Overflow questions
–
60
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
None
Consistency
Eventual
Tunable, Eventual
Schema
Strict
Schemaless
Architecture
Distributed, Client server, Embedded
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
SQL-like Jaguar query language
Qdrant Query API (JSON filters)
Client languages
Python, C++
Python, JavaScript, Rust, Go, Java, .NET
Best for
Vector search, RAG, Time-series, Geo
Vector search, RAG

JaguarDB vs Qdrant: FAQ

What is the difference between JaguarDB and Qdrant?

JaguarDB: Distributed vector database from DataJaguar that also handles time series and geospatial data. Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud. Licensing: JaguarDB is proprietary (Proprietary binaries (free download); client SDKs Apache-2.0); Qdrant is open source (permissive) (Apache License 2.0). Transactions: JaguarDB offers limited ACID; Qdrant offers none. Only JaguarDB has streaming ingest.

When should I choose JaguarDB over Qdrant?

Choose JaguarDB for similarity search over text and image embeddings; combining vector search with time-series or location filters; and self-hosted RAG retrieval on Linux clusters. Choose Qdrant for RAG retrieval with metadata filtering; recommendation and similarity search; and image and multimodal search.

Is JaguarDB or Qdrant more popular?

Qdrant ranks #55 on the WhichDB Score (35.9/100) and JaguarDB ranks #437 (3.4/100). Popularity is not fit: check the requirements that matter for your project.

Are JaguarDB and Qdrant open source?

No. JaguarDB is proprietary, closed-source software. Yes. Qdrant is open source. License: Apache License 2.0.