MindsDB announces an integration with MariaDB to enable machine learning to the wildly popular open source relational database, furthering the mission to democratize machine learning.
BERKELEY, Calif. (PRWEB) October 12, 2020
MindsDB, the open source AI layer for existing databases, today announced their official integration with the widely used open source relational database, MariaDB Community Server. This integration fills a longstanding demand of database users for the ability to bring machine learning capabilities to the database and democratize ML use.
MindsDB helps apply machine learning models straight in the database by providing an AI layer that allows database users to deploy state-of-the-art machine learning models using standard SQL queries. The use of AI-Tables helps database users leverage predictive data inside the database for easier and more effective machine learning projects.
MariaDB is one of the top five most used databases globally with a user base of tens of millions. It has replaced MySQL as the default on nearly all major Linux distributions and has been downloaded over one billion times on Docker Hub. MariaDB can be deployed on prem on commodity hardware, is available on all major public clouds and through MariaDB SkySQL as a fully managed cloud database.
Democratizing Machine Learning
“As MindsDB sets out to democratize machine learning, we’re excited to offer ML capabilities to the MariaDB community,” said MindsDB co-founder, Adam Carrigan. “MariaDB shares our vision and understands that putting machine learning tools in the hands of the users that know their data best is the most effective way to solve their problems.”
Growing Need for More Convenient ML Databases
The need for machine learning database tools that are easier, more convenient, and have a less technical barrier to entry have been growing for some time. Companies that face data privacy issues and are unable to move their data to the cloud lack on-premise machine learning tools that can deliver predictions straight where the data resides. The alternative, building custom machine learning models, required programming and ML skills uncommon for database admins.
“Database users have been in need of a tool like this for a long time,” said Patrik Backman, General Partner and co-founder at OpenOcean and co-founder of MariaDB. “This integration will have a massive impact on the industry as the MariaDB user base finds new ways to solve their problems by bringing machine learning inside the database.”
Automated ML Models Inside Database
With the newly announced integration of MindsDB with MariaDB, users can now create virtual AI tables in MariaDB which allow them to run automated machine learning models directly inside the database.
While many companies have attempted to democratize machine learning, the key to the MindsDB solution is their creation of AI-Tables. Unlike normal tables, AI-Tables allow users to use machine learning models as if they were standard database tables.
“With MindsDB AI-Tables, any MariaDB user can easily train and test neural-network based machine learning models with basic SQL knowledge,” said Carrigan.
Open source innovation
“MariaDB has always benefited from a strong community and ecosystem that is continuously solving new problems with creative solutions,” said MariaDB Corporation CTO and co-founder, Michael “Monty” Widenius. “The MindsDB integration is another great example of open source innovation and will let MariaDB community users around the world tap into machine learning capabilities.”
“The integration with MariaDB is the first of several important integrations the MindsDB team has planned towards this mission,” said Carrigan.
MindsDB helps organizations to turn data into business predictions by adding machine learning capabilities to their databases. MindsDB provides an AI layer for existing databases that allows organizations to effortlessly and cost-effectively develop, train, and deploy state-of-the-art ML models using standard SQL queries to get accurate business predictions. Follow the company on LinkedIn, Twitter and Facebook and visit the blog for additional resources. https://www.mindsdb.com
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