Comparison
dingo vs qdrant
Verdict
Pick dingo if dingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search; pick qdrant if qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication.
Markdown twin · dingo alternatives · qdrant alternatives
GraphCanon updated Sep 30, 2026
15views this month
Trust & integrity
| Signal | dingo | qdrant |
|---|---|---|
| Maintenance | Steady (71d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 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 Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- dingo
- A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data
- qdrant
- High-performance, massive-scale Vector Database and Vector Search Engine for AI
Stars
- dingo
- 1.7k
- qdrant
- 35k
Forks
- dingo
- 264
- qdrant
- 2.7k
Open issues
- dingo
- 8
- qdrant
- 733
Language
- dingo
- Java
- qdrant
- Rust
Adopt for
- dingo
- DingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search.
- qdrant
- Qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication.
Persona
- dingo
- -
- qdrant
- -
Runtime
- dingo
- -
- qdrant
- -
License
- dingo
- Apache-2.0
- qdrant
- Qdrant is available under the Apache License, Version 2.0, which is a permissive free software license.
Last pushed
- dingo
- Jul 10, 2026
- qdrant
- Sep 18, 2026
Categories
- dingo
- Data & Retrieval, Vector Databases
- qdrant
- Vector Databases
Trust and health
Maintenance
- dingo
- Steady (60%)
- qdrant
- Very active (96%)
Days since push
- dingo
- 71d
- qdrant
- 0d
Open issues (now)
- dingo
- 8
- qdrant
- 733
Stars delta
- dingo
- +5 (30d)
- qdrant
- +1.0k (30d)
Open issues delta
- dingo
- 0 (30d)
- qdrant
- +81 (30d)
Full report
- dingo
- Trust report
- qdrant
- Trust report
Typed relationship
dingo alternative qdrantDingo and Qdrant both are vector databases supporting high-performance similarity searches, but Dingo additionally supports SQL-like query capabilities and integrates relational semantics.
Choose dingo if…
- dingo is primarily Java; qdrant is Rust.
- Dingo and Qdrant both are vector databases supporting high-performance similarity searches, but Dingo additionally supports SQL-like query capabilities and integrates relational semantics.
- Tags unique to dingo: embedding-search, embedding-store, key-value-distributed-store, mysql-compatibility.
- Also covers Data & Retrieval.
- You need a unified SQL interface for vector queries on diverse data types
When NOT to use dingo
- If your application strictly demands non-SQL interfaces for querying
- When the Apache-2.0 license is incompatible with your project requirements
Choose qdrant if…
- qdrant is primarily Rust; dingo is Java.
- Pricing: Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud..
- Requirements: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment..
- Dingo and Qdrant both are vector databases supporting high-performance similarity searches, but Dingo additionally supports SQL-like query capabilities and integrates relational semantics.
- Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, image-search.
- qdrant ships Docker support for self-hosted deployment.
- When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.
When NOT to use qdrant
- If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions.
- When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dingodb/dingo) · observed Sep 20, 2026
- GitHub forks (dingodb/dingo) · observed Sep 20, 2026
- Last push (dingodb/dingo) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (qdrant/qdrant) · observed Sep 20, 2026
- GitHub forks (qdrant/qdrant) · observed Sep 20, 2026
- Last push (qdrant/qdrant) · observed Sep 18, 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: dingo 1.7k · qdrant 35k (synced Sep 20, 2026).
Common questions
- What is the difference between dingo and qdrant?
- dingo: A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data. qdrant: High-performance, massive-scale Vector Database and Vector Search Engine for AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose dingo over qdrant?
- Choose dingo over qdrant when dingo is primarily Java; qdrant is Rust; Dingo and Qdrant both are vector databases supporting high-performance similarity searches, but Dingo additionally supports SQL-like query capabilities and integrates relational semantics; Tags unique to dingo: embedding-search, embedding-store, key-value-distributed-store, mysql-compatibility; Also covers Data & Retrieval; You need a unified SQL interface for vector queries on diverse data types.
- When should I choose qdrant over dingo?
- Choose qdrant over dingo when qdrant is primarily Rust; dingo is Java; Pricing: Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud.; Requirements: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment.; Dingo and Qdrant both are vector databases supporting high-performance similarity searches, but Dingo additionally supports SQL-like query capabilities and integrates relational semantics; Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, image-search; qdrant ships Docker support for self-hosted deployment; When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.
- When should I avoid dingo?
- If your application strictly demands non-SQL interfaces for querying When the Apache-2.0 license is incompatible with your project requirements
- When should I avoid qdrant?
- If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions. When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.
- Is dingo or qdrant more popular on GitHub?
- qdrant has more GitHub stars (34,655 vs 1,704). Stars measure visibility, not whether either tool fits your constraints.
- Are dingo and qdrant open source?
- Yes - both are open-source projects on GitHub (dingo: Apache-2.0, qdrant: Apache-2.0).
- Where can I find alternatives to dingo or qdrant?
- GraphCanon lists graph-backed alternatives at dingo alternatives and qdrant alternatives (dingo markdown twin, qdrant 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, dingo or qdrant?
- dingo: Steady. qdrant: 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 dingo and qdrant?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dingo trust report; qdrant trust report.