format_quote Press Release

Teradata Changes the Economics for Storing and Processing Large Volumes of Relational Data

October 21, 2013 | DALLAS, Texas - PARTNERS User Group Conference

Breakthrough pricing, enhanced processing speed, massive storage capacity, make it ideal for deep dive analytics on all data

Teradata (NYSE: TDC), the leading analytic data platforms, applications and services company, today delivered the Teradata Extreme Data Platform 1700 with enhanced processing speed and massive storage capacity. This platform also delivers a best-in-class SQL engine on top of big data at a breakthrough price from $2,000 per terabyte of compressed data.

The amount of data created and stored in every industry has exploded from 100’s of terabytes to 100’s of petabytes. The large volumes of relational data are typically offloaded or sometimes even discarded. To drive analytics, organizations require fast and easy access to all the detailed, historical data, not a sample. To respond to this need, there is an emerging set of immature SQL engines, however, they lack performance, security, and full feature functionality. In comparison, the Teradata Extreme Data Platform allows customers to take advantage of all data by exploiting low cost storage, without having to compromise the robustness of their analytics.
“Before the Teradata Extreme Data Platform 1700, those customers searching for a solution under $5,000 per terabyte were forced to look at a file system or solutions with a reduced set of features,” said Scott Gnau, president, Teradata Labs. “Our new Platform removes the economic barriers, while delivering our best-in-class SQL engine for analysis of large volumes of relational data.”
A Teradata customer ran the “Terasort” test, a popular benchmark, on both the Teradata Extreme Data Platform and Hadoop cluster. The benchmark’s goal is to sort one terabyte of data, as fast as possible. The Teradata Extreme Data Platform completed this benchmark in less than 20 seconds verses 60 seconds for the Hadoop cluster. Teradata performed three times faster even though the Hadoop cluster had eight times more servers. This simple benchmark proves the performance advantage of the Platform for data sorting. In addition to the performance, customers will benefit from the Database’s advanced features that are required for complex analysis of all data, and they include analytics, security, optimization, indexing, and workload management. When assessing the viability of solutions, this example reinforces the importance of considering the total cost of ownership to deliver a result, and not the cost of cheap commodity servers.
In addition to extreme performance for simple and complex tasks, Teradata enables organizations to store more data in less space. The Teradata Extreme Data Platform is 15 times more data-space efficient than a commodity system, based on a customer’s real world deployment. The Platform scales beyond 500 petabytes of compressed data.
The Teradata Extreme Data Platform is compatible with commonly used analytics and business intelligence applications and designed for high performance. It easily handles big data analytic queries from business users. The Teradata Extreme Data Platform is enterprise-ready with the Teradata Database. It offers Intelligent Memory, integrated workload management, first class security, ACID Compliant (Atomicity, Consistency, Isolation, Durability), and provides standard ANSI SQL compliance (American National Standards Institute).
What’s Improved?
The Teradata Extreme Data Platform now offers three terabyte drives, a more cost-effective storage option. System availability has been enhanced with additional optional hot standby nodes and hot spare drives and data is better protected with improved data storage architecture. The Platform leverages the dual Intel® Xeon® Sandy Bridge eight-core processors at 2.6GHz. Like all Teradata platforms, it runs Novell® SUSE® Linux Enterprise Server 11.

Deep Dive Analytics
As information grows, the ability to perform deep-dive analytics is growing. Teradata supports the airline industry, which requires the ability to store and analyze this machine-generated data to better understand maintenance and repair requirements. For example,

  • A jet engine can generate 10 terabytes of information per engine every 30 minutes of flight. 
  • A twin-engine plane traveling from New York to Los Angeles can generate up to 240 terabytes of data. When that base rate is calculated by nearly 30,000 flights in the sky at any one time, the amount of data to be stored and analyzed amasses quickly.

Other examples of industries that require the storage and analytic capability of the Teradata Extreme Data Platform, include:

  • Web Analytics – Analysis of integrated click-stream data to drive more product sales

  • Regulatory and Compliance – Detailed, multi-year historical data to comply with regulations, such as legal retention other governmental requirements.

  • Sensor Data – RFID product movement and monitoring

  • Communications Network - Data analysis will enable customers to perform an assessment of consumer behavior, network, cell tower, and handset performance; fulfill legal compliance for retention of several years of history.

  • Actuarial Analysis – Insurance carriers can determine risk profiles of customers with analysis of a variety of different customer characteristics.

The Teradata Extreme Data Platform 1700 is now being shipped. The ability to ingest and analyze JSON data will be available in early 2014.

Unified Data Architecture™ (UDA)
Data stored in the Extreme Data Platform is kept in the same Teradata format and schema, which makes it easily transferable to and from any Teradata Integrated Data Warehouse. These characteristics allow the Platform to fit seamlessly within the Unified Data Architecture™ (UDA), which is a framework for organizations to analyze all types of data on multiple Teradata systems. The Teradata® Unified Data Architecture™ leverages the complementary value of – Teradata Database, Teradata Aster Database, and Apache™ Hadoop®.

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