What they do: Develop visual analytics software.
Problem they solve: “Every critical business problem is becoming a Big Data problem, but today’s organizations are hamstrung by existing Business Intelligence (BI) and data visualization tools,” Steve Wooledge, Arcadia Data’s VP of Marketing, argues.
BI cannot solve complex Big Data problems, like the connected car or monitoring cyberattacks in real-time, because it only analyzes any given sub-segment of data (typically extracted from Hadoop-based platforms). “BI breaks at scale because Big Data can’t be moved around – it’s too big and costly,” Wooledge added.
#Big50-2017 #startup Arcadia Data helps businesses analyze large volumes of data w/out moving it, filling the gap between self-service BI and advanced analytics https://wp.me/p330ZZ-lk Share on XAt the same time, specialist analytics tools, whether DIY or off-the-shelf, are clunky, time-consuming and difficult to use. Users lack simple tools that offer the ease and familiarity of BI that can solve very complex Big Data problems.
How they solve it: Arcadia Data helps businesses analyze large volumes of data without moving it, “filling the gap between self-service BI and advanced analytics for use cases like cybersecurity, connected devices, and customer intelligence.”
“What this means is that ‘ordinary’ end-user business analysts use Arcadia Enterprise directly with their Big Data to visualize, analyze, and share insights much more quickly than with traditional BI tools and processes, which cannot scale to handle the volume and complexity of modern data without lengthy and complex data extraction and refinement,” Wooledge said.
Headquarters: San Mateo, CA
CEO: Sushil Thomas, who was previously a Distributed Systems Architect at Aster Data (acquired by Teradata).
Year Founded: 2012
Funding: Arcadia Data closed an $11.5M Series A funding round in June 2015. Mayfield led the round, with additional investment from Blumberg Capital and Intel Capital.
Competitors include: Tableau, MicroStrategy, SAP BusinessObjects, Qlik, Zoomdata, Datameer, and Kyvos.
Customers include: Kaiser Permanente, Royal Bank of Canada, HP Enterprise, eBay, and Nordea Bank.
Why they’re in the Big 50-2017: Arcadia Data did very well in Big50-2017 online voting, and more importantly, they have an impressive customer list, featuring the likes of eBay and HP Enterprise.
Here at Startup50, we’re also bullish on Arcadia Data’s market opportunity. Here’s how Wooledge summed it up for us (and there’s not much in here we’re going to argue with):
“Big data and the cloud is a $203 Billion market that is falling short for the mainstream enterprise. Digital native companies such as AirBnB, Amazon, and Uber are disrupting markets because they have the engineering IT resources to build data-centric applications which provide exceptional value. The future of scalable enterprise software and applications is tightly bound with Hadoop and other massively parallel distributed systems.
“The big data movement. . . has required scale-out data storage and platforms, but analytics systems have not kept up. . . Therefore, in order for the modern enterprise to keep up with the scale of Big Data, visual analytics and business intelligence (BI) systems must re-architect to a similar distributed, scale-out approach, which is core to the next phase of the Big Data movement and digital transformation.”
We believe Arcadia Data is well positioned to grab a decent slice of that market.
