As I blogged earlier this week, old-school data analytics and business intelligence (BI) vendors such as Teradata and Oracle are getting spanked in the financial markets not just because their “cloud” products are really just warmed-over legacy architectures. Many of these old-school companies are notoriously bad at “playing with others.” They want to crowd other vendors out of the enterprise, monopolizing their customers by ostensibly providing every component of the analytics environment.
Even though these large vendors acquire smaller companies like crazy – Oracle has acquired 47 companies since 2010, while Teradata acquired four Hadoop-related companies in 2014 alone – the integrations are almost always problematic, and mainly designed to roadblock competitors. But a new ecosystem of cloud-based analytics solutions is unseating big BI players for a multitude of reasons, including collaboration between companies with complementary, and even competing, solutions.
Bringing trustworthy data to the desktop
Take Birst and Tableau, for example, both extremely popular cloud-based BI solutions. Tableau provides “visual analytics for everyone,” and has gained popularity with business users looking to analyze corporate data without having to rely on IT experts. Yet, to strike a balance between end user self-service and data consistency, enterprise BI deployments need a platform that enables them to implement transparent governance strategies.
Here’s where Birst comes in. We can extend the benefits of Tableau to all users with Automated Data Refinement (ADR) technology that helps companies spend more time analyzing data and less time preparing it. ADR provides a unified view of the business without relying on data extracts that act as analytical silos. And Birst helps companies scale the use of Tableau throughout the organization with confidence, delivering transparent governance that reduces development and testing cycles, and accelerates the promotion of insights to production.
Do Birst and Tableau compete? Yes, sometimes. But do we work together as a “village” to help customers get the most benefit from cloud BI and analytics? Absolutely – every time.
Upgrading Hadoop for the enterprise
Altiscale is another player in the Big Data/analytics ecosystem with which Birst works closely. The Altiscale Data Cloud is “a fully managed Big Data platform, delivering instant access to production-ready Apache Hadoop and Apache Spark on the world’s best Big Data infrastructure.” But as my Birst colleagues and I have blogged about extensively, Hadoop is not business user-ready.
To effectively bring Big Data-as-a-service to enterprise users, we’ve teamed with Altiscale to enhance its Data Cloud with business-style analytics with three Birst-enabled architectural tenets:
- A user-ready data store that delivers analysis at business speed
- A business user interface for interacting with data in business terms
- The ability to spin up new virtual data instances for departmental analysis
You can read more about how Birst and Altiscale and working together to enhance Hadoop with world-class BI in the whitepaper, “Embracing Next-Generation Big Data & Analytics: Guidelines for CIOs & IT Leaders.” And in case you need more convincing on leaving your abusive relationship with your legacy BI provider, check out the comments here….And here.