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Comparison

vald vs vearch

Verdict

Pick vald if vald is a distributed vector search engine written in Go, optimized for high performance and scalability, making it suitable for applications such as image search and similarity search; pick vearch if vearch is a distributed vector search engine for AI-native applications, supporting cloud-native deployment and retrieval-augmented generation.

Markdown twin · vald alternatives · vearch alternatives

GraphCanon updated Sep 20, 2026

10views this month

vald logo

vald

vdaas/vald

★ 1.7kpushed Sep 16, 2026
vs
vearch logo

vearch

vearch/vearch

★ 2.3kpushed Jul 27, 2026

Trust & integrity

Signalvaldvearch
Maintenance
Very active (2d since push)
As of Sep 18, 2026 · github_public_v1
Steady (53d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
Published findings
As of Sep 18, 2026 · 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
vald trust reportvearch trust reportTrust methodology

Tagline

vald
A Highly Scalable Distributed Vector Search Engine
vearch
Distributed vector search for AI-native applications

Stars

vald
1.7k
vearch
2.3k

Forks

vald
95
vearch
365

Open issues

vald
147
vearch
170

Language

vald
Go
vearch
Python

Adopt for

vald
Vald is a distributed vector search engine written in Go, optimized for high performance and scalability, making it suitable for applications such as image search and similarity search.
vearch
Vearch is a distributed vector search engine for AI-native applications, supporting cloud-native deployment and retrieval-augmented generation.

Persona

vald
-
vearch
-

Runtime

vald
-
vearch
-

License

vald
Apache-2.0
vearch
Vearch is available under the Apache License, Version 2.0, allowing for free use, modification, and distribution.

Last pushed

vald
Sep 16, 2026
vearch
Jul 27, 2026

Categories

vald
Data & Retrieval, Vector Databases
vearch
Data & Retrieval, Vector Databases

Trust and health

Maintenance

vald
Very active (96%)
vearch
Steady (60%)

Days since push

vald
2d
vearch
53d

Open issues (now)

vald
147
vearch
170

Stars delta

vald
+14 (30d)
vearch
+9 (30d)

OSV dependency advisories

vald
No lockfile (source not queried)
vearch
Published findings

Full report

vald
Trust report
vearch
Trust report

Choose vald if…

  • vald is primarily Go; vearch is Python.
  • Requirements: Requires Kubernetes 1.19 or newer.; Hardware must support AVX2 instructions for optimal performance..
  • Tags unique to vald: anng, approximate-nearest-neighbor-search, distributed-systems, golang.
  • When you need a scalable solution for high-dimensional data search, Vald can handle large volumes of data efficiently.

When NOT to use vald

  • Avoid Vald if your infrastructure does not support Kubernetes 1.19 or newer, as it is a requirement for Vald's operation.
  • Do not use Vald if your hardware does not support AVX2 instructions, as this will limit the performance of the Vald Agent NGT component.
  • If your project requires a non-distributed solution, Vald's distributed architecture might introduce unnecessary complexity.
GitHubDetails

Choose vearch if…

  • vearch is primarily Python; vald is Go.
  • Pricing: Vearch is free and open-source under the Apache License, Version 2.0, with no additional costs for the core software..
  • Requirements: Min 2 GB RAM; Vearch supports Kubernetes deployment, which requires a Kubernetes cluster..
  • Tags unique to vearch: ai-native, document-retrieval, embeddings, hybrid-search.
  • When you need a cloud-native deployment option for vector search, as Vearch supports Kubernetes deployment out-of-the-box.

When NOT to use vearch

  • If your project does not require cloud-native deployment or Kubernetes integration, Vearch might offer more features than necessary.
  • If your application does not benefit from retrieval-augmented generation, Vearch's specialized features might not be fully utilized.
  • For scenarios where the application does not involve AI-native operations, Vearch's specialized design for AI-native applications might not be the best fit.
GitHubDetails

Explore

vald trust report →vearch trust report →Data & Retrieval category →Vector Databases category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: vald 1.7k · vearch 2.3k (synced Sep 20, 2026).

Common questions

What is the difference between vald and vearch?
vald: A Highly Scalable Distributed Vector Search Engine. vearch: Distributed vector search for AI-native applications. See the comparison table for live GitHub stats and shared categories.
When should I choose vald over vearch?
Choose vald over vearch when vald is primarily Go; vearch is Python; Requirements: Requires Kubernetes 1.19 or newer.; Hardware must support AVX2 instructions for optimal performance.; Tags unique to vald: anng, approximate-nearest-neighbor-search, distributed-systems, golang; When you need a scalable solution for high-dimensional data search, Vald can handle large volumes of data efficiently.
When should I choose vearch over vald?
Choose vearch over vald when vearch is primarily Python; vald is Go; Pricing: Vearch is free and open-source under the Apache License, Version 2.0, with no additional costs for the core software.; Requirements: Min 2 GB RAM; Vearch supports Kubernetes deployment, which requires a Kubernetes cluster.; Tags unique to vearch: ai-native, document-retrieval, embeddings, hybrid-search; When you need a cloud-native deployment option for vector search, as Vearch supports Kubernetes deployment out-of-the-box.
When should I avoid vald?
Avoid Vald if your infrastructure does not support Kubernetes 1.19 or newer, as it is a requirement for Vald's operation. Do not use Vald if your hardware does not support AVX2 instructions, as this will limit the performance of the Vald Agent NGT component. If your project requires a non-distributed solution, Vald's distributed architecture might introduce unnecessary complexity.
When should I avoid vearch?
If your project does not require cloud-native deployment or Kubernetes integration, Vearch might offer more features than necessary. If your application does not benefit from retrieval-augmented generation, Vearch's specialized features might not be fully utilized. For scenarios where the application does not involve AI-native operations, Vearch's specialized design for AI-native applications might not be the best fit.
Is vald or vearch more popular on GitHub?
vearch has more GitHub stars (2,326 vs 1,728). Stars measure visibility, not whether either tool fits your constraints.
Are vald and vearch open source?
Yes - both are open-source projects on GitHub (vald: Apache-2.0, vearch: Apache-2.0).
Where can I find alternatives to vald or vearch?
GraphCanon lists graph-backed alternatives at vald alternatives and vearch alternatives (vald markdown twin, vearch 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, vald or vearch?
vald: Very active. vearch: Steady. 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 vald and vearch?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vald trust report; vearch trust report.

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