What Our Partnership With HP Vertica Means For Big Data Analytics

On Friday, we announced an exciting new partnership with HP Vertica. Later in the day, HP named a new CEO, so my apologies to Ms. Whitman for our announcement overshadowing her press coverage ; >)

Our partnership is prompted by our customers’ demand for tighter integration of big data analytics with big data movement. Enterprises and Cloud infrastructure providers are moving away from monolithic "big data" repositories to broadly distributed analytic marts. Together with the massive increase in unstructured data, this trend creates the need for fast, reliable movement of this data in real-time. BIG DATA MOVEMENT!

One of the reason customers love Vertica's big data solutions is its cost-effectiveness. On a price/performance basis it blows away industry-leading alternatives. And, because it was designed for “Big Data” from the outset, it nails the use cases. Tervela complements the offering as follows - data sharing throughout many instances, or many locations, filling out the enterprise-scale checklist for these Vertica assets.

What this means for Vertica customers:

1. Synchronized Real-Time Analytics: Customers operating multiple data stores can keep these instances synchronized in real-time, even when dealing with massive volumes of data for analytical systems, complex event processing, or other applications.
2. Reliable, Fast, Affordable Disaster Recovery: Real-time synchronization of data ensures operations can continue in the event of an outage, faster and more reliably than alternative storage and database technologies.
3. Non-Stop Data Loading For Superior Decision Support: Tervela accelerates the insertion of data into Vertica with guaranteed delivery, buffering, pre-processing, and parallel insertions – meaning more data from more locations can be loaded faster than ever, increasing the time-value of information.

The partnership of the Vertica and Tervela platforms is customer and market driven. Together the solution demonstrates the increasing importance of Data Movement in the Big Data equation and Internet-scale infrastructure.

Please take a moment and read more about our partnership , or check out the press release .