--- title: "chroma vs datalevin" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chroma-core-chroma-vs-datalevin-datalevin" tools: ["chroma-core-chroma", "datalevin-datalevin"] --- # chroma vs datalevin Neutral, constraint-first comparison with live GitHub stats. | | [chroma](/tools/chroma-core-chroma.md) | [datalevin](/tools/datalevin-datalevin.md) | | --- | --- | --- | | Tagline | Search infrastructure for AI | A simple, fast and versatile Datalog database | | Stars | 28,728 | 1,437 | | Forks | 2,370 | 82 | | Open issues | 732 | 27 | | Language | Rust | Clojure | | Adopt for | Chroma is an open-source data infrastructure specifically for AI tasks such as vector, hybrid, and full-text search built with Rust. It provides a minimalist API of only four functions to cover essential operations like: | Datalevin is suited for applications needing the simplicity, speed, and expressiveness of Datalog with straightforward ACID compliance. Its cost-based query optimizer offers competitive performance against SQL RDBMS and献 | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Datalevin is available under the EPL-2.0 license, meaning it provides a strong open-source licensing framework suitable for both commercial and custom purposes, with conditions on attribution, copy of | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chroma](/tools/chroma-core-chroma.md) | [datalevin](/tools/datalevin-datalevin.md) | | --- | --- | --- | | Open issues (now) | 732 | 27 | | Security scan | 8 low (8 low) | Not scanned | | Full report | [trust report](/tools/chroma-core-chroma/trust.md) | [trust report](/tools/datalevin-datalevin/trust.md) | **Typed relationship:** chroma _(alternative)_ datalevin Chroma is dedicated to infrastructure for AI search, and Datalevin can similarly handle indexing and querying for AI-related data management tasks, positioning them as alternatives. ## Decision facts: chroma - **Adopt for:** Chroma is an open-source data infrastructure specifically for AI tasks such as vector, hybrid, and full-text search built with Rust. It provides a minimalist API of only four functions to cover essential operations like: ## Decision facts: datalevin - **Pricing:** freemium - **Requirements:** Min 1 GB RAM - **Adopt for:** Datalevin is suited for applications needing the simplicity, speed, and expressiveness of Datalog with straightforward ACID compliance. Its cost-based query optimizer offers competitive performance against SQL RDBMS and献 - **License detail:** Datalevin is available under the EPL-2.0 license, meaning it provides a strong open-source licensing framework suitable for both commercial and custom purposes, with conditions on attribution, copy of ## Choose when ### Choose chroma if… - chroma is primarily Rust; datalevin is Clojure. - License: chroma is Apache-2.0, datalevin is EPL-2.0. - Chroma is dedicated to infrastructure for AI search, and Datalevin can similarly handle indexing and querying for AI-related data management tasks, positioning them as alternatives. - Tags unique to chroma: agents, rust, rust-lang, database. - chroma ships Docker support for self-hosted deployment. - You need fast, efficient vector search capabilities integrated deeply into your AI workflows. ### Choose datalevin if… - datalevin is primarily Clojure; chroma is Rust. - License: datalevin is EPL-2.0, chroma is Apache-2.0. - Requirements: Min 1 GB RAM. - Chroma is dedicated to infrastructure for AI search, and Datalevin can similarly handle indexing and querying for AI-related data management tasks, positioning them as alternatives. - Tags unique to datalevin: embedded-database, vector-database, graph-database, ai-native. - When you need a simple yet durable Datalog database with direct updates and deletions without complex temporal handling. ## When NOT to use chroma - You require multi-language client support beyond Python and JavaScript. - Your use case demands a more extensive feature set and customization options than the core API provides, as Chroma's design philosophy is to keep things lean and straightforward. ## When NOT to use datalevin - When working in environments strictly requiring SQL-based relational database systems and familiarity with complex temporal handling similar to Datomic®. - If you need extended transactional semantics such as those offered by Datomic®, which includes more intricate time-based operations. - In cases where the overhead of embedding a Datalog engine for less critical query performance is not justified. ## Common questions ### What is the difference between chroma and datalevin? chroma: Search infrastructure for AI. datalevin: A simple, fast and versatile Datalog database. See the comparison table for live GitHub stats and shared categories. ### When should I choose chroma over datalevin? Choose chroma over datalevin when chroma is primarily Rust; datalevin is Clojure; License: chroma is Apache-2.0, datalevin is EPL-2.0; Chroma is dedicated to infrastructure for AI search, and Datalevin can similarly handle indexing and querying for AI-related data management tasks, positioning them as alternatives; Tags unique to chroma: agents, rust, rust-lang, database; chroma ships Docker support for self-hosted deployment; You need fast, efficient vector search capabilities integrated deeply into your AI workflows. ### When should I choose datalevin over chroma? Choose datalevin over chroma when datalevin is primarily Clojure; chroma is Rust; License: datalevin is EPL-2.0, chroma is Apache-2.0; Requirements: Min 1 GB RAM; Chroma is dedicated to infrastructure for AI search, and Datalevin can similarly handle indexing and querying for AI-related data management tasks, positioning them as alternatives; Tags unique to datalevin: embedded-database, vector-database, graph-database, ai-native; When you need a simple yet durable Datalog database with direct updates and deletions without complex temporal handling. ### When should I avoid chroma? You require multi-language client support beyond Python and JavaScript. Your use case demands a more extensive feature set and customization options than the core API provides, as Chroma's design philosophy is to keep things lean and straightforward. ### When should I avoid datalevin? When working in environments strictly requiring SQL-based relational database systems and familiarity with complex temporal handling similar to Datomic®. If you need extended transactional semantics such as those offered by Datomic®, which includes more intricate time-based operations. In cases where the overhead of embedding a Datalog engine for less critical query performance is not justified. ### Is chroma or datalevin more popular on GitHub? chroma has more GitHub stars (28,728 vs 1,437). Stars measure visibility, not whether either tool fits your constraints. ### Are chroma and datalevin open source? Yes - both are open-source projects on GitHub (chroma: Apache-2.0, datalevin: EPL-2.0). ### Where can I find alternatives to chroma or datalevin? GraphCanon lists graph-backed alternatives at /tools/chroma-core-chroma/alternatives and /tools/datalevin-datalevin/alternatives (/tools/chroma-core-chroma/alternatives.md, /tools/datalevin-datalevin/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 /compare/chroma-core-chroma-vs-datalevin-datalevin.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chroma or datalevin? chroma: Very active. datalevin: 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 chroma and datalevin? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chroma: /tools/chroma-core-chroma/trust; datalevin: /tools/datalevin-datalevin/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chroma-core-chroma`](/api/graphcanon/graph?tool=chroma-core-chroma) - 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/_