--- title: "hamilton vs databend" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-hamilton-vs-databendlabs-databend" tools: ["apache-hamilton", "databendlabs-databend"] --- # hamilton vs databend *GraphCanon updated Aug 21, 2026* ## Verdict Pick hamilton if apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support; 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. [hamilton](https://hamilton.apache.org/) reports 2.6k GitHub stars, 203 forks, and 148 open issues, last pushed Aug 1, 2026. [databend](https://docs.databend.com) has 9.4k stars, 891 forks, and 557 open issues, last pushed Aug 21, 2026. Figures are from public GitHub metadata via [hamilton's repository](https://github.com/apache/hamilton) and [databend's repository](https://github.com/databendlabs/databend). | | [hamilton](/tools/apache-hamilton.md) | [databend](/tools/databendlabs-databend.md) | | --- | --- | --- | | Tagline | Modular dataflow definition for Python environments | All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch. | | Stars | 2,557 | 9,420 | | Forks | 203 | 891 | | Open issues | 148 | 557 | | Language | Jupyter Notebook | Rust | | Adopt for | Apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support. | Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hamilton](/tools/apache-hamilton.md) | [databend](/tools/databendlabs-databend.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 148 | 557 | | Stars delta | Unknown | +31 (30d) | | Open issues delta | Unknown | +23 (30d) | | Full report | [trust report](/tools/apache-hamilton/trust.md) | [trust report](/tools/databendlabs-databend/trust.md) | ## Decision facts: hamilton - **Adopt for:** Apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support. ## 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. ## Choose when ### Choose hamilton if… - hamilton is primarily Jupyter Notebook; databend is Rust. - License: hamilton is Apache-2.0, databend is Other. - Tags unique to hamilton: dag, data-analysis, data-engineering, data-science. - Also covers Developer Tools. - Requires detailed lineage and tracing in Python-based ETL processes ### Choose databend if… - databend is primarily Rust; hamilton is Jupyter Notebook. - License: databend is Other, hamilton is Apache-2.0. - Tags unique to databend: ai, bigdata, cloud-native, database. - Also covers Vector Databases. - - 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 NOT to use hamilton - Working exclusively within a non-Python environment where broader platform support is needed - Projects that do not require extensive metadata capture or lineage tracking capabilities ## 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. ## Common questions ### What is the difference between hamilton and databend? hamilton: Modular dataflow definition for Python environments. databend: All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.. See the comparison table for live GitHub stats and shared categories. ### When should I choose hamilton over databend? Choose hamilton over databend when hamilton is primarily Jupyter Notebook; databend is Rust; License: hamilton is Apache-2.0, databend is Other; Tags unique to hamilton: dag, data-analysis, data-engineering, data-science; Also covers Developer Tools; Requires detailed lineage and tracing in Python-based ETL processes. ### When should I choose databend over hamilton? Choose databend over hamilton when databend is primarily Rust; hamilton is Jupyter Notebook; License: databend is Other, hamilton is Apache-2.0; Tags unique to databend: ai, bigdata, cloud-native, database; Also covers Vector Databases; - 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 avoid hamilton? Working exclusively within a non-Python environment where broader platform support is needed Projects that do not require extensive metadata capture or lineage tracking capabilities ### 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. ### Is hamilton or databend more popular on GitHub? databend has more GitHub stars (9,420 vs 2,557). Stars measure visibility, not whether either tool fits your constraints. ### Are hamilton and databend open source? Yes - both are open-source projects on GitHub (hamilton: Apache-2.0, databend: Other). ### Where can I find alternatives to hamilton or databend? GraphCanon lists graph-backed alternatives at [hamilton alternatives](/tools/apache-hamilton/alternatives) and [databend alternatives](/tools/databendlabs-databend/alternatives) ([hamilton markdown twin](/tools/apache-hamilton/alternatives.md), [databend markdown twin](/tools/databendlabs-databend/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/apache-hamilton-vs-databendlabs-databend.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hamilton or databend? hamilton: Very active. databend: 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 hamilton and databend? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hamilton trust report](/tools/apache-hamilton/trust); [databend trust report](/tools/databendlabs-databend/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-hamilton`](/api/graphcanon/graph?tool=apache-hamilton) - 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/_