Teradata is one of the popular Relational Database Management System. It is mainly suitable for building large scale data warehousing applications. Teradata achieves this by the concept of parallelism.
Why Teradata?
There have plenty of reasons why customers like to choose Teradata .
-Teradata supports more larger warehouse data than all competitors combined.
-Teradata Database can scale from 100 gigabytes to over 100+ petabytes of data on a single system without losing any performance .This is called Scalability.
-Provides a parallel-aware Optimizer that makes query tuning unnecessary to get a query to run.
-Automatic and even data distribution eliminates complex indexing schemes or time-consuming reorganizations .
-Teradata Database can handle the most concurrent users, who are often running multiple, complex queries.
-Designed and built with parallelism.
-Supports ad-hoc queries using SQL
-Single point of control for the DBA (Teradata Manager).
-Unconditional parallelism (parallel architecture)
-Teradata provides the lowest total cost (TCO) of ownership
-High availability of data because there is no single point of failure - fault tolerance is built.
*Linear Scalability − Teradata systems are highly scalable. They can scale up to 2048 Nodes. For example, you can double the capacity of the system by doubling the number of AMPs.
*Connectivity − Teradata can connect to Channel-attached systems such as Mainframe or Network-attached systems.
*Mature Optimizer − Teradata optimizer is one of the matured optimizer in the market. It has been designed to be parallel since its beginning. It has been refined for each release.
*SQL − Teradata supports industry standard SQL to interact with the data stored in tables. In addition to this, it provides its own extension.
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