Home/Compare/aquila vs vald

Comparison

aquila vs vald

Verdict

Pick aquila if aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches; pick vald if vald is written in Go, licensed under Apache-2.0, for highly scalable vector search tasks on Kubernetes.

Markdown twin · aquila alternatives · vald alternatives

GraphCanon updated 3w

aquila logo

aquila

Aquila-Network/aquila

379pushed May 6, 2024
vs
vald logo

vald

vdaas/vald

1.7kpushed Aug 2, 2026

Trust & integrity

Signalaquilavald
Maintenance
Dormant (817d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
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

aquila
Efficient Neural Search Engine
vald
A Highly Scalable Distributed Vector Search Engine

Stars

aquila
379
vald
1.7k

Forks

aquila
26
vald
95

Open issues

aquila
13
vald
146

Language

aquila
HTML
vald
Go

Adopt for

aquila
Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
vald
Vald is written in Go, licensed under Apache-2.0, for highly scalable vector search tasks on Kubernetes.

Persona

aquila
-
vald
-

Runtime

aquila
-
vald
-

License

aquila
-
vald
Apache-2.0

Last pushed

aquila
May 6, 2024
vald
Aug 2, 2026

Categories

aquila
Data & Retrieval, Vector Databases
vald
Data & Retrieval, Vector Databases

Trust and health

Maintenance

aquila
Dormant (18%)
vald
Very active (96%)

Days since push

aquila
817d
vald
0d

Open issues (now)

aquila
13
vald
146

Full report

Choose aquila if…

  • aquila is primarily HTML; vald is Go.
  • Tags unique to aquila: embedding, faiss, feature-vectors, image-search.
  • When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary

When NOT to use aquila

  • If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration
  • In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide

Choose vald if…

  • vald is primarily Go; aquila is HTML.
  • Tags unique to vald: anng, cloud-native, distributed-systems, high-dimensional-data.
  • Requires high-performance searches in a distributed system

When NOT to use vald

  • Need lower scalability vector search solutions
  • Cannot use Kubernetes 1.19 or above
  • Do not have AVX2 support in the system environment

Explore

Sources

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

GitHub stars on cards: aquila 379 · vald 1.7k (synced Aug 2, 2026).

Common questions

What is the difference between aquila and vald?
aquila: Efficient Neural Search Engine. vald: A Highly Scalable Distributed Vector Search Engine. See the comparison table for live GitHub stats and shared categories.
When should I choose aquila over vald?
Choose aquila over vald when aquila is primarily HTML; vald is Go; Tags unique to aquila: embedding, faiss, feature-vectors, image-search; When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary.
When should I choose vald over aquila?
Choose vald over aquila when vald is primarily Go; aquila is HTML; Tags unique to vald: anng, cloud-native, distributed-systems, high-dimensional-data; Requires high-performance searches in a distributed system.
When should I avoid aquila?
If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide
When should I avoid vald?
Need lower scalability vector search solutions Cannot use Kubernetes 1.19 or above Do not have AVX2 support in the system environment
Is aquila or vald more popular on GitHub?
vald has more GitHub stars (1,714 vs 379). Stars measure visibility, not whether either tool fits your constraints.
Are aquila and vald open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to aquila or vald?
GraphCanon lists graph-backed alternatives at aquila alternatives and vald alternatives (aquila markdown twin, vald 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, aquila or vald?
aquila: Dormant. vald: 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 aquila and vald?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; vald trust report.

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