At a series of roundtables last week in San Francisco, New York and London, Actian execs had a fascinating opportunity to interact with industry and financial analysts, media, customers (including Evernote, Salesforce and Opera Solutions) and partners (including Caserta Concepts and Atheon Analytics) to kick around perspectives on trends in Big Data. Actian’s POV is that the benefits of big data analytics today are confined to only a small subset of organizations – those with the scarce skill sets, deep pockets and access to innovative technologies to succeed against the odds. We’re committed to making the business benefits of big data analysis accessible to all kinds of organizations – what we call Big Data 2.0.
For us Big Data 2.0 involves seamlessly connecting to data flows from any source, enabling meaningful analysis for mainstream business users (not just data scientists), and prompting business actions that help you beat the competition, reduce risk, delight your customers and innovate with new business models – as Actian CEO discussed with Cory Johnson of BloombergTV last Monday. From what we’re hearing the Actian vision is widely welcomed by both customers and industry savants.
I’ve been reading some great articles provoked by the roundtable discussions. Over at V3, Daniel Robinson notes that Actian execs and others predict the “Internet of Things data deluge will swamp old software systems.” He quotes Actian CTO Mike Hoskins on how legacy software cannot scale, while MapReduce is still primitive for handling big data management and extracting useful insights.
At ZDNet, Tom Foremski ‘s write-up notes, “There was talk about how Big data and the cloud will require new business processes. They will have to be far more agile than the static ones currently used and so far, there are no good tools for such enterprise application development.”
Mike Vizard at ITBusinessEdge zeroed in on Hadoop discussions: “Conventional wisdom holds that as a batch-oriented platform, Hadoop is not well suited for running high-performance analytics applications. 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…. The Actian Analytics Platform provides facilities for managing data flow between Hadoop and the Actian Matrix database.”
All in all a week of great deep-dive discussion sparking continuing dialog among some of the industry’s most acute observers – with more to come. And it was also exciting to see Actian among the “16 Top Big Data Analytics Platforms” identified by Doug Henschen, who says, “The company is counting on the combination of fast, analytical DBMS options, cloud services, and data-integration and -analytics software geared to a world in which Hadoop is a prominent fixture of the data-management architecture. Actian DataFlow includes SQL-, ETL-, and data-cleansing-on Hadoop options that work with distributions from Apache, Cloudera, Hortonworks, and others.”