Alation today announces the finalization of $9M in Series A funding led by Costanoa Venture Capital and Data Collective Venture Capital, with participation from Andreessen Horowitz, Bloomberg Beta and General Catalyst Partners. The funding will be used both for product development and the expansion of Alation’s sales and marketing operations. Still in stealth mode, Alation intends to enhance the ability of organizations to access and retrieve data. Based on the premise that organizations continue to struggle with respect to locating data housed within their own infrastructures, Alation intends to improve data accessibility as well as to help customers more effectively understand the quality and significance of their data. Alation CEO Satyen Sangani remarked on Alation’s value proposition as follows:
Organizations still struggle with quickly finding, understanding and using the right data. Data-driven enterprises have voracious appetites for information and continue to make massive investments in data management platforms like Hadoop and business intelligence software like Tableau. While these technologies help with computation, storage, and visualization, ironically they make it harder to navigate the ocean of data. Alation helps people get to key insights faster.
Although business intelligence platforms such as Tableau facilitate data visualization and analysis, Sangani notes, organizations continue to wrestle with the problem of maneuvering within their “ocean of data” and finding the right data for analysis. Led by a team of founders with prior experience at Oracle, Google and Apple, Alation is gearing up for a general availability release of its platform in mid-2015. As told to Cloud Computing Today by CEO Satyen Sangani, the company’s solution focuses on structured and semi-structured data and claims several large, data-driven companies within its roster of customers. Expect more details regarding Alation to emerge within the upcoming months as it comes out of stealth and takes the wraps off its platform for managing big data complexity and increasing data accessibility more generally.
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