MindsDB has introduced it now has greater than 70 expertise and information integrations with main compute, storage, and multi-cloud databases. Moreover, the corporate has reached a milestone of over 11,000 stars on Github.
The MindsDB platform is an open supply AI layer that permits customers to leverage machine studying fashions utilizing SQL queries for predictive analytics. This expertise is named in-database machine studying and allows the design, coaching, and deployment of predictive ML fashions based mostly on historic information. Firms could make predictions from their database with commonplace SQL instructions to be visualized in different purposes, analytics platforms, or enterprise intelligence instruments.
“The MindsDB platform provides customers of ordinary SQL the flexibility to leverage subtle machine studying. This empowers enterprises to speed up the event of machine studying capabilities inside their companies whereas additionally decreasing growth prices by way of decreased complexity,” the corporate stated in a launch.
Accessible database and BI integrations for MindsDB embrace MariaDB, QuestDB, Databricks, Couchbase, Google Massive Question, Tableau, PostgreSQL, Snowflake, and plenty of others.
MindsDB relies in Berkeley, California, and was based in 2017 by CEO Jorge Torres and COO Adam Carrigan. The platform has since gained a consumer base of a number of thousand who’re leveraging its ML capabilities to be used instances equivalent to predicting coronary heart illness and forecasting insurance coverage premiums.
“We’re very excited and gratified to be acknowledged because the main and quickest rising open supply machine studying platform on the earth,” stated Jorge Torres, co-founder and CEO of MindsDB. “The MindsDB platform is witnessing elevated traction inside enterprises in search of to leverage machine studying fashions with sensible purposes that ship significant outcomes for his or her companies and is constructing on the momentum we see in our open-source neighborhood.”
Companions of the corporate are discovering MindsDB’s ML capabilities and integrations helpful: “By working with MindsDB, we’re unlocking the genius within the cloud for our clients by offering seamless and easy-to-use machine studying capabilities accessible by way of our totally managed cloud database service, MariaDB SkySQL,” stated Franz Aman, CMO, MariaDB Company. “This machine studying integration lets our clients higher make the most of their information to seek out tendencies and create new efficiencies – all with out having to maneuver information to different methods or purposes.”
“Operating MindsDB with QuestDB can considerably enhance the efficiency of processing time-series information and scale back the time required to coach and deploy your machine studying fashions,” stated Nicolas Hourcard, CEO, QuestDB. “As our clients deploy enterprise ML purposes at scale, the seamless integration with MindsDB and QuestDB will speed up the event and deployment of their time-series based mostly machine studying use instances.”
MindsDB has raised $7.8 million in seed funding with the newest spherical occuring just a little over a 12 months in the past. The corporate is backed by Walden Catalyst Ventures, YCombinator, OpenOcean (the enterprise fund launched by the creators of MySQL and MariaDB), SpeedInvest, and the College of California Berkeley SkyDeck fund.
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