Learn how Orama and Qdrant differ in their key features, development activity, technology stack and community adoption, so you can decide which of these vector databases is best for you.
Last 30 days
Last commit
Repository age
Version
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Qdrant appears to have several advantages over Orama, particularly in popularity, growth, activity, maturity and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Qdrant significantly outpaces Orama in community adoption with 34,449 stars compared to 10,547 stars on GitHub. This 3.3x difference suggests Qdrant has a much larger and more active community. In terms of developer contributions, Qdrant has 2,651 forks, indicating strong developer engagement.
Qdrant is growing faster, adding 562 stars in the last 30 days (+1.7%) against adding 28 stars for Orama (+0.3%). Qdrant is both larger and pulling further ahead.
Qdrant shows more recent development activity with its last commit 12 hours ago, while Orama was last updated 1 month ago. This suggests Qdrant is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, Bash. However, they differ in their additional technology choices: Orama uses CSS, Typescript, JSX, Next.js, Vue while Qdrant leverages Python, Rust, C, Objective-C.
Qdrant has been in development longer, starting 6 years ago, compared to Orama which began 4 years ago. This 2.0-year head start suggests Qdrant may have more mature features and established processes.
Qdrant is licensed under Apache-2.0, while Orama's license terms are not publicly specified.
Both tools serve similar use cases in Vector Databases. However, they also have distinct specializations: Orama also focuses on AI Search Tools.
Both Orama and Qdrant offer self-hosting capabilities, giving you full control over your data and infrastructure.