Redwood City, Calif. – February 11, 2014 – Actian Corporation today challenged the industry to consider whether current implementations of Hadoop can translate to mainstream adoption. While many organizations have made significant Hadoop investments, most projects are still experimental.
The massive potential value of using analytics-enabled business processes to deliver transformational business impact remains largely untapped. The digital taps have been turned on and will never be turned off. The tsunami of data has hit the shore with initiatives like the Internet of Things, and the question now is how businesses will get the maximum value from this data to create transformational advantage in a timely manner.
“Every individual and business will shortly be influenced in their decisions by Big Data, and it’s widely acknowledged that legacy stacks just can’t scale adequately,” said Mike Hoskins, chief technology officer, Actian Corporation. “While Hadoop is a tremendous step forward as pioneers drive business value from their big data assets, optimal adoption is limited to the privileged few with deep pockets and rarefied skills. Simplifying Hadoop and removing the reliance on dated MapReduce-driven approaches allows Actian to deliver ‘Big Data for the Rest of Us™.’”
According to a recent study conducted by Sand Hill Group, current top uses of Hadoop tend to be focused on ETL/ELT, data quality and preparation or augmenting an organization’s solution portfolio with basic analytics or business intelligence.[i] Hoskins explains Actian’s commitment to industrialize Hadoop, noting that only a small minority of Hadoop projects are in production. Hoskins said, “What’s needed is a robust layer around Hadoop, like an exoskeleton, that accelerates all stages of a big data analytics job natively in Hadoop, from design time through execution processing to specialized analytic workloads.”
Actian has done just that. As Hoskins explained, “Hadoop has become the data lake and the Actian Analytics Platform surrounds it in a way that enables organizations of all sizes to move quickly into production and start realizing value. Actian enables you to immediately get a visual drag-and-drop framework to load, transform, and analyze data in Hadoop with up to 30x better design-time and run-time performance and no coding.” The Actian platform also gives companies high-performance analytics on Hadoop data to help them respond to events in real time and automate business processes with predictive and prescriptive models.
“Conventional wisdom holds that as a batch-oriented platform, Hadoop is not well suited for running high-performance analytics applications,” said Mike Vizard January 29, 2014 in ITBusinessEdge. “This week, however, Actian unveiled the Actian Analytics Platform, which enables a massively parallel columnar database to natively process Hadoop data in a way that boosts analytics applications performance by a factor of ten.”
Actian’s YARN-certified platform accelerates native Hadoop processing and enables high-performance SQL queries on Hadoop using a massively parallel engine that is optimized for multi-node Hadoop implementations. Together, they make the power of Hadoop accessible to the broad market. The Actian Analytics Platform now allows companies of any size to do what was previously limited to big companies.
The Evernote Case Study
The combination of new-age software running on modern hardware is giving Actian’s customers a significant price/performance advantage and resulting in new use cases not feasible on legacy or Hadoop-only implementations. Evernote uses the Actian Analytics Platform to enhance high-speed marketing analytics to improve customer experience and accelerate effectiveness of A/B testing and digital campaigns – returning ad hoc queries on 25,000,000,000 rows of data in less than three seconds, as Evernote reports. Evernote adopted the Actian Analytics Platform as part of its completely revamped architecture based on Hadoop, delivering scalability and performance for its demanding production environment. The Hadoop cluster, accessed via Hive, absorbs the rapidly accumulating log files, accommodating affordable, massive data storage and parallel batch processing jobs. The data, however, is cloned into the Actian analytics database for more complex, multifaceted analytics. There, as Dave Engberg, Evernote CTO, notes, “We’re able to answer many types of questions much faster than we could with a brute-force crawl in Hive. We get a great performance boost with the Actian Analytics Platform.”
During Strata Santa Clara at booth 725, Actian will be providing demos and presentations of “Industrial Strength” Hadoop, and Evernote’s Damon Cool will present on “How Evernote Measures Conversion Using Hadoop Analytics” on February 12, 2014 at 1:30 p.m. PST in Ballroom H.
About Actian: Accelerating Big Data 2.0™
Actian transforms big data into business value for any organization – not just the privileged few. Actian provides transformational business value by delivering actionable insights into new sources of revenue, business opportunities, and ways of mitigating risk with high-performance in-database analytics complemented with extensive connectivity and data preparation. The 21st century software architecture of the Actian Analytics Platform delivers extreme performance on off-the-shelf hardware, overcoming key technical and economic barriers to broad adoption of big data. Actian also makes Hadoop enterprise-grade by providing high-performance ELT, visual design and SQL analytics on Hadoop without the need for Map Reduce skills. Among tens of thousands of organizations using Actian are innovators using analytics for competitive advantage in industries like financial services, telecommunications, digital media, healthcare and retail. The company is headquartered in Silicon Valley and has offices worldwide. Stay connected with Actian Corporation at www.actian.com or on Facebook, Twitter and LinkedIn.
Actian, Big Data for the Rest of Us, Accelerating Big Data 2.0 and Actian Analytics Platform are trademarks of Actian Corporation and its subsidiaries. All other trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.
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 “Do You Hadoop? A Survey of Big Data Practitioners.” Bradley Graham and M. R. Rangaswami, Sand Hill Group, October 2013. ^