Martin Smith for MindsDB
James Meredith for MariaDB
Redwood City, Calif. and Helsinki - May 31, 2022 - MariaDB Corporation and MindsDB, the leader in in-database machine learning, today together announced a technology collaboration that makes machine learning predictions easy and accessible to cloud database users. By using MindsDB in SkySQL, MariaDB’s fully managed cloud database service, data science and data engineering teams can increase their organization’s predictive capabilities to plan for and address real-world business issues.
MariaDB has been downloaded over one billion times and is used by 75% of the Fortune 500, touching the lives of more than a billion people every day. MariaDB database users will now be able to add machine learning based predictions directly into their datasets stored in SkySQL. This dramatically simplifies the task of analyzing and predicting future trends, putting machine learning capabilities into the hands of MariaDB users, no matter their role. The use cases for business predictions cut across every business function such as finance, sales, risk analysis, logistics, operations, and marketing.
“We are excited to work with MindsDB to unlock the genius in the cloud by giving customers seamless and easy-to-use machine learning capabilities available through MariaDB SkySQL,” said Jags Ramnarayan, Vice President and General Manager of SkySQL, MariaDB Corporation. “With this machine learning integration, organizations will be able to better utilize their data to find trends and create new efficiencies. This is all accomplished without having to move data to other systems or applications and it happens in real-time to help inform current business decisions.”
Commenting on the collaboration, Jorge Torres, co-founder and CEO of MindsDB, said, “MindsDB’s open source framework allows ML models to be identified and developed quickly using AutoML and then deployed at speed and scale with AI Tables in MariaDB. By automating model training and deploying workflows while leveraging the data directly at the data layer, MindsDB + MariaDB help companies increase prediction capabilities and reduce the cost and complexity of model selection, training iteration, and testing. MindsDB enables database users to get predictions as database tables, using simple queries to unlock the value in the data they already have.”
Customers can try MariaDB SkySQL at https://mariadb.com/products/skysql/
MariaDB frees companies from the costs, cloud lock-in, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing applications. MariaDB uses pluggable, purpose-built storage engines to support workloads that previously required a variety of specialized databases. With complexity and constraints eliminated, enterprises can now depend on a single complete database for their needs, whether on commodity hardware or their cloud of choice. Deployed in minutes for transactional, analytical or hybrid use cases, MariaDB delivers unmatched operational agility without sacrificing key enterprise features, including real ACID compliance and full SQL. Trusted by organizations such as Bandwidth, DigiCert, InfoArmor, Oppenheimer, Samsung, SelectQuote, SpendHQ – MariaDB meets the same core requirements as proprietary databases at a fraction of the cost. No wonder it’s one of the fastest-growing database management systems companies. Real business relies on MariaDB™.
MindsDB helps anyone use the power of machine learning to ask predictive questions of their data and receive accurate answers from it. MindsDB was founded in 2017 by Adam Carrigan (COO) and Jorge Torres (CEO) and is backed with over $7.8M in seed funding from Walden Catalyst Ventures, YCombinator, MMC, OpenOcean, (the venture fund launched by the creators of MySQL and MariaDB), SpeedInvest, and the University of California Berkeley SkyDeck fund. MindsDB was recently recognized as one of America's most promising AI companies by Forbes. To see how MindsDB can help you visit www.mindsdb.com or follow us @MindsDB.