Dataform secures $2m to build 'operating system' for data warehouses

Mark Johnson's picture

A data pipeline management company set up by Google alumni and supported through its early days by Y Combinator, has secured a $2 million investment from LocalGlobe and angel investors. 

Dataform is building a platform to transform the way businesses manage their data warehouses, helping data teams publish, test and collaborate on datasets at scale. 

The seed funding will help the company continue to grow both its sales and engineering sides of the business and further develop its product.

Google alumni

Founded by Google alumni Lewis Hemens and Guillaume-Henri Huon, Dataform addresses the key problems facing data-rich organisations. 

Today nearly every company has a data warehouse from which they are trying to draw insights, the company said. 

Data warehouses can be complex to manage, typically requiring companies to hire large teams of data engineers and analysts. Dataform makes it simpler, faster and cheaper for organisations to take full advantage of their data assets.

“Businesses are struggling to hire data talent that ends up spending most of their time building custom infrastructure and trying to make their data pipeline work”, said Co-founder Guillaume-Henri Huon. 

“We're building the tools for the data team to focus on data and extracting value from it rather than spending time on their data infrastructure.” 

Co-founder Lewis Hemens added: “Current approaches to data management aren’t scaling for modern needs. This isn’t necessarily due to the volume, but rather the complexity of the data. 

“To be truly effective, data teams have to invest in building a central repository of data knowledge, documentation and ultimately maintaining a set of core analytics tables to unlock the power of that data. We make that extremely easy to do with Dataform.” 

Managing data infrastructure is challenging. Research suggests that data teams within organisations spend up to 80% of their time creating usable datasets, with just 20% of time devoted to value-adding analysis. 

Consequently, a significant amount of potentially vital digital information remains un-exploited or underused, the firm said.

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