Comparison
aquila vs vearch
Verdict
Pick aquila if aquila is a neural search engine that indexes latent vectors with JSON metadata, enabling efficient k-NN search operations; pick vearch if vearch is a distributed vector search engine for AI-native applications, supporting cloud-native deployment and retrieval-augmented generation.
Markdown twin · aquila alternatives · vearch alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | aquila | vearch |
|---|---|---|
| Maintenance | Dormant (864d 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 |
Tagline
- aquila
- An easy-to-use Neural Search Engine for indexing latent vectors with JSON metadata and performing efficient k-NN search.
- vearch
- Distributed vector search for AI-native applications
Stars
- aquila
- 379
- vearch
- 2.3k
Forks
- aquila
- 26
- vearch
- 365
Open issues
- aquila
- 13
- vearch
- 170
Language
- aquila
- HTML
- vearch
- Python
Adopt for
- aquila
- Aquila is a neural search engine that indexes latent vectors with JSON metadata, enabling efficient k-NN search operations.
- vearch
- Vearch is a distributed vector search engine for AI-native applications, supporting cloud-native deployment and retrieval-augmented generation.
Persona
- aquila
- -
- vearch
- -
Runtime
- aquila
- -
- vearch
- -
License
- aquila
- Aquila is licensed under the Apache License 2.0.
- vearch
- Vearch is available under the Apache License, Version 2.0, allowing for free use, modification, and distribution.
Last pushed
- aquila
- May 6, 2024
- vearch
- Jul 27, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- vearch
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- aquila
- Dormant (18%)
- vearch
- Steady (60%)
Days since push
- aquila
- 864d
- vearch
- 53d
Open issues (now)
- aquila
- 13
- vearch
- 170
Stars delta
- aquila
- 0 (30d)
- vearch
- +9 (30d)
Open issues delta
- aquila
- 0 (30d)
- vearch
- +1 (30d)
OSV dependency advisories
- aquila
- No lockfile (source not queried)
- vearch
- Published findings
Full report
- aquila
- Trust report
- vearch
- Trust report
Choose aquila if…
- aquila is primarily HTML; vearch is Python.
- Requirements: Requires Docker; Aquila requires Docker for deployment, with options for both lite and big data versions..
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- When you need to perform efficient k-NN search operations on latent vectors with associated JSON metadata.
When NOT to use aquila
- If your project requires a specific license that is not Apache License 2.0, Aquila may not be suitable.
- If your application does not require indexing of latent vectors with JSON metadata, Aquila might be overkill.
- If you are looking for a solution that does not require Docker for deployment, Aquila might not be the best fit.
Choose vearch if…
- vearch is primarily Python; aquila is HTML.
- 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, cloud-native, document-retrieval, embeddings.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Aquila-Network/aquila) · observed Sep 20, 2026
- GitHub forks (Aquila-Network/aquila) · observed Sep 20, 2026
- Last push (Aquila-Network/aquila) · observed May 6, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (vearch/vearch) · observed Sep 20, 2026
- GitHub forks (vearch/vearch) · observed Sep 20, 2026
- Last push (vearch/vearch) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: aquila 379 · vearch 2.3k (synced Sep 20, 2026).
Common questions
- What is the difference between aquila and vearch?
- aquila: An easy-to-use Neural Search Engine for indexing latent vectors with JSON metadata and performing efficient k-NN search.. vearch: Distributed vector search for AI-native applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over vearch?
- Choose aquila over vearch when aquila is primarily HTML; vearch is Python; Requirements: Requires Docker; Aquila requires Docker for deployment, with options for both lite and big data versions.; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; When you need to perform efficient k-NN search operations on latent vectors with associated JSON metadata.
- When should I choose vearch over aquila?
- Choose vearch over aquila when vearch is primarily Python; aquila is HTML; 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, cloud-native, document-retrieval, embeddings; When you need a cloud-native deployment option for vector search, as Vearch supports Kubernetes deployment out-of-the-box.
- When should I avoid aquila?
- If your project requires a specific license that is not Apache License 2.0, Aquila may not be suitable. If your application does not require indexing of latent vectors with JSON metadata, Aquila might be overkill. If you are looking for a solution that does not require Docker for deployment, Aquila might not be the best fit.
- 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 aquila or vearch more popular on GitHub?
- vearch has more GitHub stars (2,326 vs 379). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and vearch open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or vearch?
- GraphCanon lists graph-backed alternatives at aquila alternatives and vearch alternatives (aquila 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, aquila or vearch?
- aquila: Dormant. 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 aquila and vearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; vearch trust report.