--- title: "databend vs dingo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/databendlabs-databend-vs-dingodb-dingo" tools: ["databendlabs-databend", "dingodb-dingo"] --- # databend vs dingo *GraphCanon updated Aug 21, 2026* ## Verdict Pick databend if data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage; pick dingo if dingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search. [databend](https://docs.databend.com) reports 9.4k GitHub stars, 891 forks, and 557 open issues, last pushed Aug 21, 2026. [dingo](https://www.dingodb.com) has 1.7k stars, 265 forks, and 8 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [databend's repository](https://github.com/databendlabs/databend) and [dingo's repository](https://github.com/dingodb/dingo). | | [databend](/tools/databendlabs-databend.md) | [dingo](/tools/dingodb-dingo.md) | | --- | --- | --- | | Tagline | All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch. | A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data | | Stars | 9,420 | 1,701 | | Forks | 891 | 265 | | Open issues | 557 | 8 | | Language | Rust | Java | | Adopt for | Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage. | DingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [databend](/tools/databendlabs-databend.md) | [dingo](/tools/dingodb-dingo.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 42d | | Open issues (now) | 557 | 8 | | Stars delta | +31 (30d) | +2 (30d) | | Open issues delta | +23 (30d) | 0 (30d) | | Full report | [trust report](/tools/databendlabs-databend/trust.md) | [trust report](/tools/dingodb-dingo/trust.md) | **Typed relationship:** databend _(related)_ dingo Databend is a data warehouse for AI agents, whereas DingoDB focuses on being a multi-modal vector database offering high-level SQL access and real-time strong consistency among other features. They serve related but distinct purposes within the same ecosystem. ## Decision facts: databend - **Adopt for:** Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage. ## Decision facts: dingo - **Adopt for:** DingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search. ## Choose when ### Choose databend if… - databend is primarily Rust; dingo is Java. - License: databend is Other, dingo is Apache-2.0. - Databend is a data warehouse for AI agents, whereas DingoDB focuses on being a multi-modal vector database offering high-level SQL access and real-time strong consistency among other features. They serve related but distinct purposes within the same ecosystem. - Tags unique to databend: ai, bigdata, cloud-native, database. - - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions. ### Choose dingo if… - dingo is primarily Java; databend is Rust. - License: dingo is Apache-2.0, databend is Other. - Databend is a data warehouse for AI agents, whereas DingoDB focuses on being a multi-modal vector database offering high-level SQL access and real-time strong consistency among other features. They serve related but distinct purposes within the same ecosystem. - Tags unique to dingo: embedding-search, embedding-store, hybrid-search, key-value-distributed-store. - You need a unified SQL interface for vector queries on diverse data types ## When NOT to use databend - - When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem. - - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts. - - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers. ## 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 ## Common questions ### What is the difference between databend and dingo? databend: All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.. dingo: A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data. See the comparison table for live GitHub stats and shared categories. ### When should I choose databend over dingo? Choose databend over dingo when databend is primarily Rust; dingo is Java; License: databend is Other, dingo is Apache-2.0; Databend is a data warehouse for AI agents, whereas DingoDB focuses on being a multi-modal vector database offering high-level SQL access and real-time strong consistency among other features. They serve related but distinct purposes within the same ecosystem; Tags unique to databend: ai, bigdata, cloud-native, database; - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions. ### When should I choose dingo over databend? Choose dingo over databend when dingo is primarily Java; databend is Rust; License: dingo is Apache-2.0, databend is Other; Databend is a data warehouse for AI agents, whereas DingoDB focuses on being a multi-modal vector database offering high-level SQL access and real-time strong consistency among other features. They serve related but distinct purposes within the same ecosystem; Tags unique to dingo: embedding-search, embedding-store, hybrid-search, key-value-distributed-store; You need a unified SQL interface for vector queries on diverse data types. ### When should I avoid databend? - When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem. - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts. - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers. ### 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 ### Is databend or dingo more popular on GitHub? databend has more GitHub stars (9,420 vs 1,701). Stars measure visibility, not whether either tool fits your constraints. ### Are databend and dingo open source? Yes - both are open-source projects on GitHub (databend: Other, dingo: Apache-2.0). ### Where can I find alternatives to databend or dingo? GraphCanon lists graph-backed alternatives at [databend alternatives](/tools/databendlabs-databend/alternatives) and [dingo alternatives](/tools/dingodb-dingo/alternatives) ([databend markdown twin](/tools/databendlabs-databend/alternatives.md), [dingo markdown twin](/tools/dingodb-dingo/alternatives.md)), 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](/compare/databendlabs-databend-vs-dingodb-dingo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, databend or dingo? databend: Very active. dingo: 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 databend and dingo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [databend trust report](/tools/databendlabs-databend/trust); [dingo trust report](/tools/dingodb-dingo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=databendlabs-databend`](/api/graphcanon/graph?tool=databendlabs-databend) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_