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Emerging Big Data Vendors To Know In 2019

As part of CRN's Emerging Vendors for 2019, here are 21 hot big data startups, founded in 2013 or later, that solution providers should be aware of.

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The New Generation Of Big Data Leaders

It's estimated that by next year 1.7MB of data will be created every second for every person on earth, according to the latest "Data Never Sleeps" report from Domo, a leading business analytics software developer.

Businesses today want to derive value from data for competitive advantage, data generated by their own IT systems and data obtained from outside sources. But they are struggling with the overwhelming tasks of collecting, preparing, managing and analyzing disparate data that's often scattered across on-premises and cloud systems.

While major vendors like Tableau, SAP and Oracle offer big data tech, a new generation of startups are developing leading-edge systems and software to help businesses address their big data challenges.

As part of CRN's 2019 Emerging Vendors coverage, here are 21 hot big data companies, all founded in 2013 or later, that solution providers should be aware of.



Founded: 2014

Top Executive: David Drai, Founder, CEO

Anodot's Autonomous Analytics software uses machine learning to identify behavioral patterns within time series business data and detect outliers and anomalies, providing business insight and helping managers remedy problems and take advantage of opportunities.


Founded: 2014

Top Executive: Prat Moghe, Founder, CEO

Cazena offers its Data Lake-as-a-Service as a way to simplify big data workloads in the cloud, including business intelligence, DevOps, machine learning, data engineering and cloud migrations. In April Cazena was awarded a U.S. patent for "Intelligent Analytic Cloud Provisioning" technology.



Founded: 2014

Top Executive: Jay Kreps, Co-Founder, CEO

Confluent's products include the Confluent Platform for managing streaming, event-based data and the KSQL streaming SQL engine for real-time data processing. Confluent, founded by the original developers of the Apache Kafka open-source stream-processing software, raised $125 million in Series D funding in January.

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