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
22,020Forks
968Last commit
2 months agoRepository age
5 yearsLicense
Apache-2.0
Auto-fetched .
OceanBase
Detailed Comparison
Both Neon Postgres and OceanBase have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Both Neon Postgres and OceanBase have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Community & Popularity
Neon Postgres leads in popularity with 22,020 stars vs 10,123 stars for OceanBase. The 118% higher star count indicates stronger community adoption. In terms of developer contributions, OceanBase has 1,893 forks, indicating strong developer engagement.
Development Activity
OceanBase shows more recent development activity with its last commit 17 hours ago, while Neon Postgres was last updated 2 months ago. This suggests OceanBase is being more actively maintained.
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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