Databases are the basis for training various machine learning and artificial intelligence (AI) models. Over the past two decades, the datasets available in the market have exploded, making it even more difficult to choose the right dataset for your task. At the same time, more datasets means you can find the one that is best suited for your target application.

Here is a list of the 10 best machine learning and artificial intelligence sql database free

1. MySQL
MySQL is powered by Oracle and is one of the most popular databases on the market. Created in 1995, it has been one of the top open source relational database management systems (RDBMS) used by big companies like Facebook, Twitter, Uber, and Youtube.

What caused its rise in popularity? First, MySQL offers enterprise-grade gestures and a free, flexible community license. It also has an upgraded commercial license with a focus on robustness and stability.

Here are some key advantages of MySQL:

A data security layer to protect sensitive data.
Scalability when there is a large amount of data.
An open source RDBMS with two separate licensing models.
Multi-master ACID transactions through MySQL Cluster.
Supports structured data (SQL) and semi-structured data (JSON).
2. Apache Cassandra
Another top machine learning and artificial intelligence database is Apache Cassandra, which is an open source and highly scalable NoSQL database management system. Apache Cassandra is designed to process large amounts of data extremely quickly. Well-known companies such as Instagram, Netflix, and Reddit also use the database.

Following are some key benefits of Apache Cassandra:

Process large amounts of data.
One of the most scalable databases with automatic sharding.
Provides linear horizontal scaling.
Decentralized database with multi-datacenter replication and automatic replication.
Fault tolerance is achieved by automatically replicating data to multiple nodes.
3. PostgreSQL
PostgreSQL is one of the top open source object-relational database systems. It extends the SQL language and combines it with features to scale and securely store highly complex data workloads. PostgreSQL is especially useful for developers who want to build applications or administrators who want to protect data integrity. It also helps create a fault-tolerant environment.

Here are some key benefits of PostgreSQL:

With a powerful access control system, it is highly secure.
Provides ACID transaction guarantees.
PostgreSQL extends Citus Data to provide distributed SQL functionality.
Advanced indexing, such as partial indexing and bloom filters.
Supports structured data (SQL), semi-structured data (JSON, XML), key-value and spatial data