Home/Compare/vespa vs weaviate

Comparison

vespa vs weaviate

Verdict

Pick vespa if vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval; pick weaviate if weaviate is an open-source vector database with strong support for hybrid searches and scalable cloud-native deployments.

Markdown twin · vespa alternatives · weaviate alternatives

GraphCanon updated 3d

vespa logo

vespa

vespa-engine/vespa

7.1kpushed Aug 18, 2026
vs
weaviate logo

weaviate

weaviate/weaviate

17kpushed Aug 1, 2026

Trust & integrity

Signalvespaweaviate
Maintenance
Very active (0d since push)
As of 3d · github_public_v1
Very active (1d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 3d · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

vespa
The AI search platform
weaviate
Open-source vector database for storing objects and vectors with structured filtering

Stars

vespa
7.1k
weaviate
17k

Forks

vespa
732
weaviate
1.4k

Open issues

vespa
250
weaviate
620

Language

vespa
Java
weaviate
Go

Adopt for

vespa
Vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval.
weaviate
Weaviate is an open-source vector database with strong support for hybrid searches and scalable cloud-native deployments.

Persona

vespa
-
weaviate
-

Runtime

vespa
-
weaviate
-

License

vespa
Apache-2.0
weaviate
BSD-3-Clause

Last pushed

vespa
Aug 18, 2026
weaviate
Aug 1, 2026

Categories

vespa
Data & Retrieval, Vector Databases
weaviate
Data & Retrieval, Vector Databases

Trust and health

Days since push

vespa
0d
weaviate
1d

Open issues (now)

vespa
250
weaviate
620

Stars delta

vespa
+34 (30d)
weaviate
Unknown

Open issues delta

vespa
+7 (30d)
weaviate
Unknown

OSV dependency advisories

vespa
No lockfile (source not queried)
weaviate
Published findings

Full report

weaviate
Trust report

Typed relationship

vespa alternative weaviateVespa and Weaviate are both tools that support high-performance search functionalities, but they differ in their core capabilities. Vespa is a comprehensive platform for operations such as search, recommendation, and personalization, while Weaviate specializes in semantic search by storing objects alongside vectors, integrating various embedding models to enable vector similarity searches combined

Choose vespa if…

  • vespa is primarily Java; weaviate is Go.
  • License: vespa is Apache-2.0, weaviate is BSD-3-Clause.
  • Vespa and Weaviate are both tools that support high-performance search functionalities, but they differ in their core capabilities. Vespa is a comprehensive platform for operations such as search, recommendation, and personalization, while Weaviate specializes in semantic search by storing objects alongside vectors, integrating various embedding models to enable vector similarity searches combined
  • Tags unique to vespa: ai, big-data, java, machine-learning.
  • Real-time indexing is critical

When NOT to use vespa

  • Prefer solutions with lower setup complexity
  • Team lacks Java expertise or prefers alternative languages
  • Require no real-time capabilities and can rely on batch processing

Choose weaviate if…

  • weaviate is primarily Go; vespa is Java.
  • License: weaviate is BSD-3-Clause, vespa is Apache-2.0.
  • Requirements: Requires Docker; Deployment on Docker requires a Docker environment.; For cloud deployments, compatible environments such as AWS, GCP require associated accounts and configurations..
  • Vespa and Weaviate are both tools that support high-performance search functionalities, but they differ in their core capabilities. Vespa is a comprehensive platform for operations such as search, recommendation, and personalization, while Weaviate specializes in semantic search by storing objects alongside vectors, integrating various embedding models to enable vector similarity searches combined
  • Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, hybrid-search, information-retrieval.
  • weaviate ships Docker support for self-hosted deployment.
  • When you need to integrate both vector search capabilities and traditional SQL-like structured queries into your application.

When NOT to use weaviate

  • If your project requires a proprietary license; Weaviate's open-source nature may not align with restrictive licensing needs.
  • When you need immediate access to specific vector embedding models that are not natively supported by Weaviate, without the flexibility of integrating additional models via Docker or Kubernetes.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: vespa 7.1k · weaviate 17k (synced Aug 18, 2026).

Common questions

What is the difference between vespa and weaviate?
vespa: The AI search platform. weaviate: Open-source vector database for storing objects and vectors with structured filtering. See the comparison table for live GitHub stats and shared categories.
When should I choose vespa over weaviate?
Choose vespa over weaviate when vespa is primarily Java; weaviate is Go; License: vespa is Apache-2.0, weaviate is BSD-3-Clause; Vespa and Weaviate are both tools that support high-performance search functionalities, but they differ in their core capabilities. Vespa is a comprehensive platform for operations such as search, recommendation, and personalization, while Weaviate specializes in semantic search by storing objects alongside vectors, integrating various embedding models to enable vector similarity searches combined; Tags unique to vespa: ai, big-data, java, machine-learning; Real-time indexing is critical.
When should I choose weaviate over vespa?
Choose weaviate over vespa when weaviate is primarily Go; vespa is Java; License: weaviate is BSD-3-Clause, vespa is Apache-2.0; Requirements: Requires Docker; Deployment on Docker requires a Docker environment.; For cloud deployments, compatible environments such as AWS, GCP require associated accounts and configurations.; Vespa and Weaviate are both tools that support high-performance search functionalities, but they differ in their core capabilities. Vespa is a comprehensive platform for operations such as search, recommendation, and personalization, while Weaviate specializes in semantic search by storing objects alongside vectors, integrating various embedding models to enable vector similarity searches combined; Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, hybrid-search, information-retrieval; weaviate ships Docker support for self-hosted deployment; When you need to integrate both vector search capabilities and traditional SQL-like structured queries into your application.
When should I avoid vespa?
Prefer solutions with lower setup complexity Team lacks Java expertise or prefers alternative languages Require no real-time capabilities and can rely on batch processing
When should I avoid weaviate?
If your project requires a proprietary license; Weaviate's open-source nature may not align with restrictive licensing needs. When you need immediate access to specific vector embedding models that are not natively supported by Weaviate, without the flexibility of integrating additional models via Docker or Kubernetes.
Is vespa or weaviate more popular on GitHub?
weaviate has more GitHub stars (16,681 vs 7,054). Stars measure visibility, not whether either tool fits your constraints.
Are vespa and weaviate open source?
Yes - both are open-source projects on GitHub (vespa: Apache-2.0, weaviate: BSD-3-Clause).
Where can I find alternatives to vespa or weaviate?
GraphCanon lists graph-backed alternatives at vespa alternatives and weaviate alternatives (vespa markdown twin, weaviate markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, vespa or weaviate?
vespa: Very active. weaviate: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for vespa and weaviate?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vespa trust report; weaviate trust report.

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