--- title: "oasysdb vs lantern" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/edwinkys-oasysdb-vs-lanterndata-lantern" tools: ["edwinkys-oasysdb", "lanterndata-lantern"] --- # oasysdb vs lantern *GraphCanon updated Sep 20, 2026* ## Verdict Pick oasysdb if in-memory vector store for semantic caching with Rust implementation; pick lantern if lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications. [oasysdb](https://github.com/edwinkys/oasysdb) reports 376 GitHub stars, 13 forks, and 0 open issues, last pushed Nov 29, 2024. [lantern](https://lantern.dev) has 893 stars, 67 forks, and 43 open issues, last pushed Dec 12, 2024. Figures are from public GitHub metadata via [oasysdb's repository](https://github.com/edwinkys/oasysdb) and [lantern's repository](https://github.com/lanterndata/lantern). | | [oasysdb](/tools/edwinkys-oasysdb.md) | [lantern](/tools/lanterndata-lantern.md) | | --- | --- | --- | | Tagline | In-memory vector store with efficient read and write performance for semantic caching | PostgreSQL vector database extension for building AI applications | | Stars | 376 | 893 | | Forks | 13 | 67 | | Open issues | 0 | 43 | | Language | Rust | Rust | | Adopt for | In-memory vector store for semantic caching with Rust implementation. | Lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0, allowing free use and modification but requiring derivative works to be open-sourced as well. | | Categories | Data & Retrieval, Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oasysdb](/tools/edwinkys-oasysdb.md) | [lantern](/tools/lanterndata-lantern.md) | | --- | --- | --- | | Days since push | 659d | 646d | | Open issues (now) | 0 | 43 | | Stars delta | +1 (30d) | +4 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/edwinkys-oasysdb/trust.md) | [trust report](/tools/lanterndata-lantern/trust.md) | ## Decision facts: oasysdb - **Adopt for:** In-memory vector store for semantic caching with Rust implementation. ## Decision facts: lantern - **Adopt for:** Lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications. - **License detail:** AGPL-3.0, allowing free use and modification but requiring derivative works to be open-sourced as well. ## Choose when ### Choose oasysdb if… - License: oasysdb is Apache-2.0, lantern is AGPL-3.0. - Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql. - Also covers Data & Retrieval. - When you need high-performance read/write operations in a semantic caching scenario using Rust. ### Choose lantern if… - License: lantern is AGPL-3.0, oasysdb is Apache-2.0. - Tags unique to lantern: ai, ann, approximate-nearest-neighbor-search, data-science. - When you need to perform vector database operations integrated with a PostgreSQL environment ## When NOT to use oasysdb - If your project strictly requires on-disk persistence over in-memory storage. - When looking for non-Rust technology stack as the primary implementation language. ## When NOT to use lantern - Avoid when an open-source license like AGPL-3.0 might interfere with proprietary or closed-source projects - Not suitable if you require direct support for non-vector indexing operations outside ANN capabilities ## Common questions ### What is the difference between oasysdb and lantern? oasysdb: In-memory vector store with efficient read and write performance for semantic caching. lantern: PostgreSQL vector database extension for building AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose oasysdb over lantern? Choose oasysdb over lantern when License: oasysdb is Apache-2.0, lantern is AGPL-3.0; Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql; Also covers Data & Retrieval; When you need high-performance read/write operations in a semantic caching scenario using Rust. ### When should I choose lantern over oasysdb? Choose lantern over oasysdb when License: lantern is AGPL-3.0, oasysdb is Apache-2.0; Tags unique to lantern: ai, ann, approximate-nearest-neighbor-search, data-science; When you need to perform vector database operations integrated with a PostgreSQL environment. ### When should I avoid oasysdb? If your project strictly requires on-disk persistence over in-memory storage. When looking for non-Rust technology stack as the primary implementation language. ### When should I avoid lantern? Avoid when an open-source license like AGPL-3.0 might interfere with proprietary or closed-source projects Not suitable if you require direct support for non-vector indexing operations outside ANN capabilities ### Is oasysdb or lantern more popular on GitHub? lantern has more GitHub stars (893 vs 376). Stars measure visibility, not whether either tool fits your constraints. ### Are oasysdb and lantern open source? Yes - both are open-source projects on GitHub (oasysdb: Apache-2.0, lantern: AGPL-3.0). ### Where can I find alternatives to oasysdb or lantern? GraphCanon lists graph-backed alternatives at [oasysdb alternatives](/tools/edwinkys-oasysdb/alternatives) and [lantern alternatives](/tools/lanterndata-lantern/alternatives) ([oasysdb markdown twin](/tools/edwinkys-oasysdb/alternatives.md), [lantern markdown twin](/tools/lanterndata-lantern/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/edwinkys-oasysdb-vs-lanterndata-lantern.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oasysdb or lantern? oasysdb: Dormant. lantern: Dormant. 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 oasysdb and lantern? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oasysdb trust report](/tools/edwinkys-oasysdb/trust); [lantern trust report](/tools/lanterndata-lantern/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=edwinkys-oasysdb`](/api/graphcanon/graph?tool=edwinkys-oasysdb) - 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/_