Round 2 of the Big 50-2016 startup competition moves ahead with Group 3: It’s the data, stupid! As you can probably guess from the title, unlike our previous groups, which were much more varied, Group 3 is entirely made up of Big Data and analytics startups.
Group 3 voting is open through Monday, March 21 at 7 pm PT.
Of the 29 startups listed below:
- The top 15 will move on to Round 3
- The bottom 14 will be eliminated
- The top 2 will automatically make it into the Big 50-2016
Notes for voters:
- You can vote for up to 3 startups
- Your votes will be weighted from #1 (which will get 3 points) to #3 (which will get 1 point)
- Only humans are eligible to vote!!! Any startups deploying voting bots will be eliminated from this round and will be barred from any other Startup50 competitions this year.
The Group 3 Lineup
(If the survey isn’t displaying properly, you may also click here to vote.)
(Scroll down for descriptions of each startup.)
Alpine Data: An enterprise platform for advanced analytics
Altiscale: Big Data-as-a-Service
Arcadia Data: Hadoop-based “Unified Visual Analytics and BI Platform”
Arimo (formerly Adatao): Self-service predictive analytics
BlueData: Provides a platform for building private, on-premises Big-Data-as-a-Service solutions
Cazena: Big-Data-as-a-Service
ClearStory Data: Data-driven business intelligence
Cloudwick: Big Data-as-a-Service
Databricks: Cloud-based integrated workspace used to simplify Apache Spark analytics
DatKnoSys: Data-driven business intelligence
Datumize: Data-driven business intelligence
Elastic: Developing open source solutions that solve search, log analysis, and analytics challenges across various industries
Gpredictive: Uses existing data to identify patterns and calculate probabilities of how customers will react to a promotional activity in the future
Looker: Allows analysts and business teams to access all their data in Hadoop and transform raw data into meaningful metrics
Paxata: An enterprise-grade solution built for interactive, self-service data preparation at scale
PredicitifyMe: Predictive analytics solutions that use a combination of client internal data, external Big Data, and mathematical algorithms
Primary Data: Virtualizes storage tiers across a global dataspace, allowing data to be placed in the storage that best meets its evolving needs without any application disruption
Reltio: Platform-as-a-Service (PaaS) that delivers enterprise data-driven applications
Segment: Collects customer data using one API to send it to tools for analytics, marketing, and data warehousing
StreamSets: Software that lets enterprises build and operate reliable data ingest pipelines
Tamr Inc.: Platform- as-a-Service (PaaS) that transforms data throughout an organization and is comprised of three core capabilities: “Catalog, Connect, and Consume”
Treasure Data: Provides managed analytics infrastructure as-a-service
Trifacta: Predictive analytics for business intelligence
Verato: Provides a cloud-based platform that updates, matches, and links customer data
VoltDB: A purpose-built database for fast data that helps make business applications smarter and faster while simplifying system architecture
Wealthport: Self-service data preparation
Xplenty: Provides a platform to process, transform, and aggregate data
Zoomdata: A collaborative data platform that allows users to visually interact with data to solve business problems
