CRN 10 Coolest Big Data Startups
CRN identifies Top 10 startups which offer the coolest technology in big data. The list includes companies which focus on business intelligence, business & visual Analytics, Hadoop technology and cloud-based systems.
In the last year, it seems the focus among startups in the big data arena has been on helping businesses more easily and effectively analyze data and derive value from it. They include companies offering technology for analyzing data in Hadoop and realtime streaming data, and companies providing software that brings big data analytics capabilities to everyday business workers.
Here are 10 of the coolest big data startups of the year (so far):
- DataHero develops "self-service" business analytics software. The DataHero cloud-based service collects data from such disparate sources as Box, Dropbox, Google Drive, Excel, Office 365, Marketo, HubSpot and Eventbrite, and turns it into charts and dashboards. Palo Alto, CA. Founded 2011.
- Tamr has the stated goal of preventing "schema proliferation." Tamr develops develops enterprise data unification software that businesses use to integrate diverse, siloed data for business analytics tasks and downstream applications. Cambridge, MA. Founded 2013.
- Domo debuted its cloud-based executive management system that provides business managers with access to information scattered across many disparate sources through a single dashboard. Santa Clara, CA. Founded 2012.
- Arcadia Data develops visual analytics software that overcomes those hurdles by directly accessing data stored in Hadoop clusters. The technology uses Hadoop as an operating system, allowing it to run directly on Hadoop servers and access data stored in the Hadoop Distributed File System. San Mateo, CA. Founded 2012.
- Looker provides a Software-as-a-Service business analytics platform that the company said puts actionable intelligence in the hands of the employees who need it most. The cloud-based tools can connect to a wide range of data sources, including Amazon Redshift, Google BigQuery, HP Vertica, Cloudera Impala, Apache Spark, SQL databases and others. Santa Cruz, CA. Founded 2011.
- Kyvos Insights developed OLAP (online analytical processing) software that carries out interactive, multidimensional analysis tasks on huge volumes of structured and unstructured Hadoop data. This startup seeks a better way to analyze data stored in Hadoop clusters. Los Gatos, CA. Founded 2011.
- Confluent is developing a commercial streaming data platform based on Apache Kafka, the Apache Software Foundation's open-source message broker software. It provides technology and services that help businesses adopt and use the Kafka system. Mountain View, CA. Founded 2014.
- AtScale debuted its AtScale Intelligence Platform software that allows commonly used business intelligence tools to access data stored in Hadoop clusters. The technology creates a semantic layer between Hadoop and business analytics tools, turning Hadoop into an OLAP server. San Mateo, CA. Founded 2013.
- ThoughtSpot Under the mantra "search-based analytics for everyone," ThoughtSpot wants to eliminate the need for complex BI tools. The company's ThoughtSpot Relational Search Appliance combines data from on-premise, cloud and desktop sources and provides users with the ability to access that data with a simple search interface. Palo Alto, CA. Founded 2012.
- Interana develops events-based analytical software that works with clickstream data and other information to help users answer questions about how customers behave and how products are used. The goal is to provide actionable business intelligence for nontechnical users. Menlo Park, CA. Founded 2013.
For more on the "coolest" of 2015, check out "CRN's Tech Midyear In Review."
Original: CRN 10 Coolest Big Data Startups