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.

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.


Founded: 2018

Top Executive: Ryohei Fujimaki, Founder, CEO

DotData is focused on delivering end-to-end data science automation and operationalization for the enterprise. Its end-to-end automated data science platform accelerates the data science process from months to days.


Founded: 2015

Top Executive: Tomer Shiran, Founder, CEO

Dremio develops an open-source Data-as-a-Service platform that helps make data engineers more productive and data consumers more self-sufficient. Dremio reported in March that its annual recurring revenue had increased 10-fold since 2017 and enterprise customer acquisition grew five-fold.


Founded: 2016

Top Executive: Adam Famularo, CEO

Erwin, which developed data modeling technology in its early days, has expanded into new data management areas with a primary focus on data governance with its Erwin Edge system for enterprise modeling, data cataloging and data literacy.


Founded: 2017

Top Executive: Brian Platz and Flip Filipowski, Co-Founders, Co-CEOs

Fluree has developed a data management platform, based on powerful graph database technology, that businesses use to develop custom blockchain applications. The company was founded in 2017 and the first production release of the software became available in August 2018.

Gemini Data

Founded: 2015

Top Executive: Tony Ayaz, Co-Founder, CEO

Gemini's data availability and data infrastructure management systems connect isolated data silos to provide users with the full context behind an organization's big data. Connecting more diverse data sets empowers AI to transform big data into actionable insight.


Founded: 2014

Top Executive: Tanel Poder, Founder, CEO

The Gluent Data Platform provides transparent data virtualization and data sharing across distributed computing systems, including on-premises or in the cloud, eliminating data silos and the need for ETL (extract, transform and load) tools.


Founded: 2018

Top Executive: David Flynn, CEO

Hammerspace's Data as a Service allows unstructured data to move freely across clouds and services through a software-defined hybrid cloud data control plane that virtualizes and abstracts data and makes it available to any application or data service.


Founded: 2013

Top Executive: Kiran Bhageshpur, CEO

The Igneous Unstructured Data Management-as-a-Service system gives data-centric enterprises visibility, protection and data mobility at scale. Its cloud-native system combines all UDM functions so that organizations can tap inthe value of their unstructured data while reducing risk and optimizing IT resource utilization.


Founded: 2014

Top Executive: Asaf Somekh, Founder, CEO

Iguazio's Continuous Data Platform ingests, enriches and analyzes data from a wide range of disparate sources, simplifying the development and deployment of data-driven applications. Iguazio launched its first channel program in 2018 to globally recruit VAR, systems integrator and OEM partners.


Founded: 2013

Top Executive: Osama Elkady, Co-Founder, CEO

Incorta develops a hyper-converged analytics software platform that speeds business analysis and reporting by performing data modeling and ETL (extract-transform-load) tasks that often take a great deal of time with traditional data warehouse systems. In October 2018 Incorta raised $15 million in Series B funding.

Kyvos Insights

Founded: 2014

Top Executive: Praveen Kankariya, CEO

Kyvos Insights' big data system provides OLAP (online analytical processing) multidimensional analysis capabilities. The software was originally developed to run on Hadoop and now supports the Amazon Web Services, Google Cloud and Microsoft Azure cloud systems.

Founded: 2014

Top Executive: Chris Ney, CEO

Magnitude's software provides unified application data management capabilities, pulling data from operational applications for analysis and providing businesses with insight into their operations. The company recently acquired Z Option, a developer of tools used to reduce the cost of implementing and using SAP applications.


Founded: 2014

Top Executive: Katie Horvath, CEO

Naveego provides master data management and data quality management software, which together make up the Naveego Complete Data Accuracy Platform that is targeted at helping businesses improve the accuracy of their corporate data.


Founded: 2015

Top Executive: Amnon Drori, Co-Founder, CEO

Octopai offers an automated, centralized, cross-platform metadata management and data lineage search engine that business intelligence organizations use to quickly discover and govern shared metadata. Octopai was one of 10 cloud-based startups to participate in Microsoft's ScaleUp 2018 program.


Founded: 2013

Top Executive: Amir Husain, Founder, CEO

SparkCognition commercializes groundbreaking AI research into enterprise SaaS platforms and solutions for IT and OT. The company focuses on the oil and gas, energy and utilities, government and defense, and transportation industries with offerings for predictive maintenance, natural language processing, cybersecurity and automated model building.

Unravel Data

Founded: 2013

Top Executive: Kunal Agarwal, Co-Founder, CEO

Unravel Data develops software used to manage the performance of data-driven applications, such as advanced analytics systems and Internet of Things networks, and the data pipelines that feed them. In January Unravel Data secured $15 million in Series B financing.

Waterline Data

Founded: 2013

Top Executive: Kailash Ambwani, CEO

Waterline Data provides an AI-driven enterprise data catalog system that data management professionals use to discover, inventory, govern and rationalize data in an organization's data lakes. The recently debuted the 5.0 edition of its software, which leverages the company's newly patented "fingerprinting" and automated tagging technology.

Yellowbrick Data

Founded: 2014

Top Executive: Neil Carson, Co-Founder, CEO

Yellowbrick Data offers an all-flash, small-factor data warehouse appliance designed to compete with more complex, more expensive data warehouse systems. The company emerged from stealth mode just last August and announced that it had received $44 million in Series A funding.