AI vs table

QUERY: After analyze CockroachDB versus another popular open source solution, create a table with differencies.

After analyzing CockroachDB versus other popular open-source solutions, here is a table with some differences:

Feature	CockroachDB	PostgreSQL	MySQL
Scale-out architecture	CockroachDB can scale horizontally across multiple nodes and regions while maintaining consistency [1]	PostgreSQL can scale horizontally to some extent, but it requires sharding to achieve full horizontal scaling [5]	MySQL can scale horizontally, but it requires sharding to achieve full horizontal scaling [4]
Consistency	CockroachDB ensures always-consistent (serializable) transactions everywhere [1]	PostgreSQL provides ACID-compliant transactions, but the level of consistency can be tuned for performance [5]	MySQL provides ACID-compliant transactions, but the level of consistency can be tuned for performance [4]
Language	CockroachDB is written in Go, which provides a good balance of performance and code maintainability [2]	PostgreSQL is written in C, which provides good performance but can be more difficult to maintain [5]	MySQL is written in C and C++, which provides good performance but can be more difficult to maintain [4]
Use case	CockroachDB is suitable for building global, scalable cloud services that survive disasters [3]	PostgreSQL is suitable for general-purpose use cases and has a strong community and ecosystem [5]	MySQL is suitable for general-purpose use cases and has a strong community and ecosystem [4]

It's worth noting that there are many other factors to consider when choosing a database, such as performance, features, and community support. This table is meant to provide a high-level comparison of some key differences between CockroachDB and other popular open-source solutions.