You can fool some of the people, some of the time. But you can never fool the financial markets for very long, particularly when you’re trying to retrofit legacy technology onto the cloud. That was the lesson Teradata learned recently when the company released its third quarter earnings.
Key points include:
- Adjusted earnings per share of 48 cents, falling short of the year-ago quarter earnings of 66 cents.
- A 9% drop in year-over-year, quarterly revenues.
- Teradata intends to exit from its Marketing Application business to focus on its Data and Analytics business, which “seems more promising.”
- Among other things, Teradata is “bringing out a cloud version of its offerings to provide more flexible options to its clients.”
Note that the first cloud version of Teradata is set to become available on Amazon’s Web Services in the first quarter of 2016. To all of which I say, “Are you kidding me?”
Hadoop + cloud BI = the new analytics gold standard
Teradata and Oracle are two big enterprise players that are having a hard time convincing CIOs of the value of porting legacy architectures to the cloud. Smart CIOs know that legacy technology with a browser pasted on top is not a real cloud solution.
Instead, a modern, cloud-native approach is rapidly displacing legacy technology today. (Not in Q1 2016.) Specifically, the combination of Hadoop and business intelligence (BI) platforms such as Birst establishes a new gold standard for enterprise analytics. Together, Hadoop and Birst offer the data accessibility, analytic agility and application performance that business users demand of their CIOs.
Hadoop is a powerful, cloud-based platform for storing and processing large volumes of data, but that’s just part of the equation. Its interfaces are built for data scientists and data analysts, not business users. Hadoop can’t deliver analytics at business speed, and its performance is too slow when there are high numbers of concurrent users. Hadoop needs a user data tier. Hadoop needs Birst.
Birst multiplies the value of Hadoop
With two-tier “Networked BI,” automated data refinement and live access, Birst makes data stored in Hadoop analytics-ready in an agile and quick fashion, multiplying the value of an enterprise Hadoop deployment with:
- A business user interface to Hadoop, enabling everyday users to interact with data using familiar business terminology. Birst makes it easy to combine local data with centralized, governed data, unlocking access.
- An architecture built for analytic scenarios. Unlike Hadoop, Birst is designed to help users analyze data and answer business questions, at business speed. Birst enables users to automatically refine raw data into analytic-ready data. They can easily create hierarchies, time-series and historical snapshots without IT intervention.
- High user concurrency through Multi-Tier Caching that intelligently decides whether to pull data from the in-memory cache, user-ready data store, or the backend source system. Birst federates between user-ready data stores and backend sources, as needed, shielding business users from the tedium of data management.
Enterprises in a wide range of industries are leaving Teradata and Oracle behind, moving to Hadoop and Birst as their reference architecture.