Comparison
aquila vs orama
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 orama if orama is a compact (<2kb) full-text, vector, and hybrid search engine supporting RAG pipelines that can be deployed in browsers, servers, or edge networks.
Markdown twin · aquila alternatives · orama alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | aquila | orama |
|---|---|---|
| Maintenance | Dormant (817d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1mo · 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
- orama
- A complete search engine and RAG pipeline with support for full-text, vector, and hybrid search.
Stars
- aquila
- 379
- orama
- 10k
Forks
- aquila
- 26
- orama
- 398
Open issues
- aquila
- 13
- orama
- 18
Language
- aquila
- HTML
- orama
- TypeScript
Adopt for
- aquila
- Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
- orama
- Orama is a compact (<2kb) full-text, vector, and hybrid search engine supporting RAG pipelines that can be deployed in browsers, servers, or edge networks.
Persona
- aquila
- -
- orama
- -
Runtime
- aquila
- -
- orama
- -
License
- aquila
- -
- orama
- Other
Last pushed
- aquila
- May 6, 2024
- orama
- Jul 21, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- orama
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- aquila
- Dormant (18%)
- orama
- Very active (96%)
Days since push
- aquila
- 817d
- orama
- 0d
Open issues (now)
- aquila
- 13
- orama
- 18
Full report
- aquila
- Trust report
- orama
- Trust report
Choose aquila if…
- aquila is primarily HTML; orama is TypeScript.
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- 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 orama if…
- orama is primarily TypeScript; aquila is HTML.
- Tags unique to orama: full-text, hybrid-search, search-engine, vector-database-embedding.
- - When you need a lightweight (~2kb) solution for integrating robust search capabilities into web applications.
When NOT to use orama
- - If your project demands high-throughput and low-latency text search in large document sets, as others may offer more optimized backend solutions.
- - For situations requiring scalability to handle very large datasets; Orama's compact nature might restrict its performance with extensive data.
- - In instances where a rich set of administrative tools or built-in storage solutions are necessary, as Orama focuses on lightweight search functionality.
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 Aug 2, 2026
- GitHub forks (Aquila-Network/aquila) · observed Aug 2, 2026
- Last push (Aquila-Network/aquila) · observed May 6, 2024
- License file (unknown) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (oramasearch/orama) · observed Jul 21, 2026
- GitHub forks (oramasearch/orama) · observed Jul 21, 2026
- Last push (oramasearch/orama) · observed Jul 21, 2026
- License file (Other) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aquila 379 · orama 10k (synced Aug 2, 2026).
Common questions
- What is the difference between aquila and orama?
- aquila: Efficient Neural Search Engine. orama: A complete search engine and RAG pipeline with support for full-text, vector, and hybrid search.. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over orama?
- Choose aquila over orama when aquila is primarily HTML; orama is TypeScript; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; 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 orama over aquila?
- Choose orama over aquila when orama is primarily TypeScript; aquila is HTML; Tags unique to orama: full-text, hybrid-search, search-engine, vector-database-embedding; - When you need a lightweight (~2kb) solution for integrating robust search capabilities into web applications.
- 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 orama?
- - If your project demands high-throughput and low-latency text search in large document sets, as others may offer more optimized backend solutions. - For situations requiring scalability to handle very large datasets; Orama's compact nature might restrict its performance with extensive data. - In instances where a rich set of administrative tools or built-in storage solutions are necessary, as Orama focuses on lightweight search functionality.
- Is aquila or orama more popular on GitHub?
- orama has more GitHub stars (10,497 vs 379). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and orama open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or orama?
- GraphCanon lists graph-backed alternatives at aquila alternatives and orama alternatives (aquila markdown twin, orama 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 orama?
- aquila: Dormant. orama: 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 orama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; orama trust report.