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The Coolest Emerging Big Data Companies Of The 2019 Big Data 100

Part 5 of CRN's 2019 Big Data 100 looks at the emerging big data companies you need to know.

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Top Executive: CEO Jay Kreps

Confluent markets the Confluence Platform, based on the Apache Kafka technology for managing streaming, event-based data, along with additional products such as the KSQL streaming SQL engine that enables real-time data processing against Kafka.

Confluent, based in Palo Alto, Calif., was founded in 2014 by the original developers of Kafka. In January the company raised $125 million in Series D funding.

In April the company struck a strategic partnership with Google Cloud to help customers move streaming data workloads to the Google Cloud Platform.



Top Executive: CEO Ali Ghodsi

Databricks, founded in 2013 by the creators of the Apache Spark analytics engine for big data, develops the Databricks Unified Analytics Platform that combines data science and data engineering to handle all data analysis processes.

In February Databricks, based in San Francisco, raised an impressive $250 million in Series E funding, bringing the company's valuation to $2.75 billion. The company also said it had experienced a three-fold increase in subscription revenue in the final quarter of 2018 and its annual recurring revenue had reached $100 million in 2018.



Top Executive: CEO Florian Douetteau

Dataiku offers the Dataiku DSS collaborative data science platform that allows teams of data scientists, data analysts and engineers to explore, prototype, build and deploy AI- and machine learning-based systems for such tasks as data management, demand forecasting, spatial analytics, churn analytics, fraud detection, lifetime value optimization and analytical CRM.

In March the company, founded in 2013 and based in New York, launched Dataiku 5.1 with user experience upgrades, more customized coding features and improved regulatory compliance capabilities.

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