Datameer began as a data-prep startup built on top of the open-source Hadoop project. In response to industry shifts, the company is pivoting away from Hadoop to modern, cloud-native architectures built on Kubernetes and Spark, and has rebuilt its Hadoop product into Datameer X. It has also developed Neebo, a new SaaS tool to let data scientists process diverse forms of data and integrate with visualization tools like Tableau and Looker; Neebo is expected to be generally available in the coming weeks. CEO Christian Rodatus says the pivot is about two-thirds complete and the product has been in the hands of customers. The company plans to hire more engineers and build a go-to-market team to support the new products. According to Crunchbase data cited in the article, the company has raised almost $140 million to date. Datameer builds big data analytics software on Hadoop for enterprise customers across finance, telecom and media. The company reports about 200 customers, with the majority in North America, roughly 20% in the EU and a small presence in Asia. Datameer has offices in San Francisco and New York, with its engineering team based in Halle (Saale), Germany. Leadership says the business has been primarily self-funded by revenue, having previously raised $36.8 million across four rounds before the latest financing. The company emphasizes strong customer support and core values and aims to expand further into Asian markets. Datameer plans to use the new capital to hire staff (growing headcount from ~160 toward 220–230) and to scale the business toward a potential IPO in a few years. Datameer builds a business intelligence platform that runs natively on Hadoop and MapReduce to provide data integration, analytics, and visualization. Its technology maps data across clusters and reduces it to enable analysis on commodity hardware using Hadoop as the data hub. Customers such as Sears use the product for credit-card fraud prevention; the company cites other use cases including predictive maintenance and determining optimal advertising prices. Datameer is benefiting from an inflection point in the Hadoop and big-data analytics market as distributions mature and enterprises build data hubs as cheaper alternatives to traditional data warehouses. The company raised $19M in a Series D, bringing total investment to $36.6M. Investors in the round include lead Next World Capital with participation from Workday, Citi Ventures, Software AG, and returning backers Kleiner Perkins Caufield & Byers and Redpoint Ventures. Datameer provides a spreadsheet-model interface for Apache Hadoop to let business users perform big-data analytics without developer help. It also sells a desktop edition that enables users to run Hadoop analytics on a single machine as a standalone tool. The company has inked deals with Dell and Fujitsu to include Datameer in their Hadoop offerings. Datameer was founded in 2009. The company says it will use new funding to expand the team to keep up with demand. Its product targets users familiar with Excel and BI dashboards who otherwise find Hadoop difficult to use. Datameer offers an analytics solution that integrates Apache Hadoop's data-mining power with a spreadsheet interface, enabling business users to run analytics on very large datasets without programming. The product is designed for users with little to no computer engineering experience. Customers include firms in security software, financial services, telecommunications, and internet research/digital insights. Datameer's leadership includes Hadoop veterans co-founder Ajay Anand (formerly Director of Product Management for Hadoop and Cloud Computing at Yahoo) and co-founder Stefan Groschupf (founder of Katta). The company will use the new capital to expand its sales, engineering, and marketing teams and to drive adoption of its analytics platform. Its reported funding position is $12 million in total capital raised.

Total raised

$117M

Funding rounds

6

Latest round

Equity

Latest activity

Oct 2019