Neon Postgres vs OceanBase
Learn how Neon Postgres and OceanBase differ in their key features, development activity, technology
stack and community adoption, so you can decide which of these relational databases (sql) is best for you.
Learn how Neon Postgres and OceanBase differ in their key features, development activity, technology stack and community adoption, so you can decide which of these relational databases (sql) is best for you.
Neon Postgres
Stars
22,273Forks
1,001Last commit
25 days agoRepository age
5 yearsLicense
Apache-2.0
Activity score
OceanBase
Stars
10,160Forks
1,902Last commit
24 hours agoRepository age
5 years
Activity score
Detailed Comparison
Neon Postgres appears to have several advantages over OceanBase, particularly in popularity and licensing. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Neon Postgres appears to have several advantages over OceanBase, particularly in popularity and licensing. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Community & Popularity
Neon Postgres leads in popularity with 22,273 stars vs 10,160 stars for OceanBase. The 119% higher star count indicates stronger community adoption. In terms of developer contributions, OceanBase has 1,902 forks, indicating strong developer engagement.
Development Activity
Both projects show recent activity, with Neon Postgres last updated 25 days ago and OceanBase 24 hours ago.
Technology Stack
Both tools share common technology foundations, being built with Bash, Python, C, Objective-C. However, they differ in their additional technology choices: Neon Postgres uses JavaScript, Rust, Java, Swift, C# while OceanBase leverages C++, Perl, Lua.
Project Maturity
Both projects started around the same time, with Neon Postgres beginning 5 years ago and OceanBase 5 years ago.
Licensing
Neon Postgres is licensed under Apache-2.0, while OceanBase's license terms are not publicly specified.
Use Cases & Features
Both tools serve similar use cases in Relational Databases (SQL).
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