We provide a secure end-to-end data infrastructure as a service, freeing data engineers from burdensome orchestration tasks and enabling data scientists to build data products at a fraction of the cost and time. Our product offers specialized building blocks to collect data from any source, organize that data in any query engine, and use that data for gathering insights.
At Datacoral we want to make data infrastructure so streamlined, you won’t have to think about it.Request Demo
Building a technology company has been more accessible, but being data-driven has arguably never been more difficult.
At Datacoral, your problem is our problem. And it’s a problem we’ve understood and focused on for over a decade. We understand that in many ways, starting a company has never been easier—there’s been a proliferation of cloud providers, SaaS tools and services streamlining development, customer engagement, operations, and more. But this boom is technology products has also left companies with an ever-growing abundance of data that’s often difficult to store, audit, move, manage and generate insights.
Our founding team has come together to solve this problemhas with decades of experience in large-scale distributed systems and databases at Facebook, Oracle, Yahoo!, Groupon, and VMWare. Our founder and CEO Raghu Murthy has helped scale data infrastructure in Internet technology companies for over 15 years, and was instrumental in building out different parts of Facebook’s data infrastructure during its explosive growth years in 2008-2013. When Raghu joined Social Capital as an Entrepreneur In Residence in 2015 he saw a widespread need among companies, large and small, for simplified data infrastructure that enables data teams to focus on the strategic insights of data, not the flow and maintenance of it.
In 2016, Datacoral was founded with goal of delivering a data infrastructure as a service that dramatically reduces the complexity of building data-driven products..
We named our company after the richest and largest ecosystem on the planet, which is teeming with life. Like a coral reef, when maintained correctly, data infrastructure can grow to be very large and support a vibrant ecosystem of data applications. Our deconstruction of data infrastructure into functional building blocks allows us to start small on any stack, and grow into a large and diverse infrastructure over time.