Cloudera Partners and Impala: MicroStrategy

Categories: Impala

Our thanks to Kevin Spurway, Senior Vice President of Marketing for MicroStrategy Inc., for the guest post below:

Squeezing insight from Big Data isn’t easy. It’s a delicate balance between scalability, performance, and cost effectiveness across an entire architecture, spanning everything from data storage to mobile app consumption. That’s why MicroStrategy and Cloudera have been working closely together from a technology standpoint. And, that’s why we’re proud to stand as a launch partner, certifying the integration between Cloudera’s new Impala project and our core MicroStrategy enterprise analytics platform.

Impala is a giant step toward an era of highly cost-effective interactive analytics for Hadoop-based Big Data.

We’ve been collaborating with Cloudera on Impala since its early stages, actively testing functionality, recommending enhancements, reviewing roadmaps, and sharing performance results. We’re especially enthusiastic because we see the launch of Impala as a giant step toward an era of highly cost-effective interactive analytics for Apache Hadoop-based Big Data, at speeds previously not possible. 

We’ve been doing our part to optimize our architecture to take advantage of the innovation in Impala. Working with Cloudera, we’ve built specialized Very Large Database (VLDB) Drivers specifically for Cloudera Impala and CDH that generate optimized queries with incredible response times. Between Impala and our new optimized connectors, we’re seeing a significant query performance improvement over previous unaccelerated Hadoop distributions.

These performance gains take Hadoop to the next level in terms of analytical price/performance. We think it’s crossing an inflection point that makes cost-effective analytics on massive data more affordable for everyone.

It’s an exciting time. Now, we can enable any business user to grab data on-the-fly from Hadoop, bring it into our in-memory data structure for hyperdrive performance, and run interactive visual analytics. That’s revolutionary.

But it’s only the beginning. We can envision use cases where we’re using MicroStrategy to combine structured and unstructured data from Hadoop with data from enterprise data warehouses, in SaaS-based applications, or other data sources. Then build powerful analytic apps, and deploy them broadly to directly impact business processes with relevant data and better decision making.

Buckle your seatbelts. The operationalization of Big Data analytics is about to go mainstream.