10 Big Data Startups You Should Know About

Data Analysis

As the notion of Big Data keeps getting, well, bigger, more startups are jumping into the fray with solutions for data-gathering, processing and analysis. It’s a good place to be: Researcher IDC foresees the market for Big Data technologies growing at about six times the rate of the overall information and communication technology sector, to reach $32.4 billion by 2017.

This means expanding opportunities for those with the right skills: Despite the growth, the talent still isn’t there. Because the use of Big Data is relatively new, the candidate pool can be small, observes John VanderSande, a Boston-based principal consultant with WinterWyman’s Software Technology Search group. As a result, companies are often willing to consider candidates who have experience with similar technologies and the ability to learn quickly.

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Some of the best opportunities are in startups, like these 10 that Network World describes as ones to watch.

1. Sumo Logic, Redwood City, Calif.: By applying machine learning to data center operations, it flags or analyzes operational or security issues by tackling the problem of what you don’t know about your data.

2. Ayasdi, Palo Alto, Calif.: Lead by Gurjeet Singh, a former research scientist at Stanford, the company focuses on complex problems including curing cancer and other diseases, finding new energy sources and preventing terrorism and financial fraud, all without requiring its users to know code.

3. Feedzai, San Mateo, Calif.: It combines artificial intelligence and predictive modeling of consumer behavior to help companies prevent fraud.

4. CloudPhysics, Mountain View, Calif.: CloudPhysics combines Big Data analytics with data center simulation and resource management techniques to discover inefficiencies and risks in virtualized workloads.

5. BloomReach, Mountain View, Calif.: Employs machine learning and natural language processing to predict demand and dynamically adapt Web pages to connect consumers with products and content that are relevant to them.

6. Altiscale, Palo Alto, Calif.: Its engineers set up, run and manage Hadoop as a Service solutions.

7. Pursway, Herzliya, Israel; U.S. headquarters in Waltham, Mass.: Its Big Data analytics and proprietary algorithms help companies identify which people influence the way their social networks shop.

8. PlaceIQ, New York: Provides a picture of customers across location and time on its mobile advertising and consumer-targeting platform.

9. MemSQL, San Francisco: Offers a distributed in-memory computing model that runs on commodity servers and speeds applications to power real-time analytics.

10. Couchbase, Mountain View, Calif.: Provides NoSQL database technology – including for mobile. Couchbase says it provides the scalability and flexible data modeling required for massive-scale data projects.

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