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10 hot Big Data startups to watch

Jeff Vance | June 13, 2013
Big Data startups are building viable products that target real-world pain points, and most of these Big Data new ventures are well-funded with solid management teams. Here are 10 Big Data startups to watch.

ParStream enables "Fast Data" by using a distributed architecture that processes data in parallel. ParStream was specifically engineered to deliver both big data and fast data, enabled by a unique High Performance Compressed Index (HPCI). This removes the extra step and time required for decompression of data.

ParStream claims to provide sub-second response times on billions of data records while continuously importing new data.

Market Potential and Competitive Landscape:Analysts see the Big Data market reaching anywhere from $18 billion (WikiBon) to $34 billion (Gartner) in 2013. Competitors include SAP HANA, Apache platforms and Vertica Systems (HP). Searchmetrics is a named customer, but Hummel assured me that more will be going on the record soon.

6. ScaleArc

What they do: Provide database infrastructure software that simplifies the way database environments are deployed and managed.

Headquarters: Santa Clara, Calif.

CEO: Varun Singh. Singh previously helped create two of India's top online technology brands, TechTree and Tech2. He also currently hosts technology shows on CNBC, TV18, CNN-IBN and ET Now.

Founded: 2009

Funding: ScaleArc is backed by $18 million from Accel Partners, Trinity Ventures, Nexus Venture Partners, and angel investors.

Why they're on this list: ScaleArc finished sixth in Startup50.com voting. They've raised serious VC money and have a long string of customer wins.

At Interop last month Singh pointed out that the growth of online and mobile applications is straining traditional database infrastructures. For companies doing business online, application availability and performance are key determinants of the customer experience and, ultimately, revenue.

However, companies struggle with the complex challenge of growing their database infrastructures to handle increasing demand, without negatively impacting the customer experience, or consuming resources that may be better used elsewhere. Traditional SQL environments are bogged down by an increasing volume of database queries from a growing number of applications that need access to structured data -- leading to poor application performance and system outages.

And the problem is even worse for mobile applications, as performance takes an even bigger hit with increased latency.

Singh argues that companies need a way to optimize SQL query traffic without extensive modifications to existing applications or databases. To improve performance, they need to offload existing databases without investing in costly new infrastructure. Finally, they need full visibility into SQL traffic to more efficiently troubleshoot and resolve issues before they become major problems that impact revenue.

ScaleArc's flagship product, iDB, is software that inserts transparently between applications and databases, requiring no modifications to applications or databases. ScaleArc claims that it can be deployed in about 15 minutes. Then, users gain visibility into all database traffic with granular real-time SQL analytics.

iDB provides instant scalability and higher availability for databases with dynamic clustering, load balancing and sharding capabilities, and it provides a transparent SQL-NoSQL hybrid caching engine, which lets any application use a NoSQL cache without any code changes or drivers.

 

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