Teradata is a relational database management system (RDBMS) used for data warehousing. It uses a massively parallel processing (MPP) architecture that scales linearly as nodes are added, making it suitable for large enterprise datasets. Over 60% of the world's largest companies use Teradata technology to store consolidated data and enable multiple client applications to access the same single data source. Teradata systems comprise one or more nodes, each with their own operating system, that work together for extensive parallel processing and high fault tolerance through a shared nothing architecture.

1. Submitted by
Anjali A K

2.  Teradata is a relational database management system
(RDBMS) that drives a company's data warehouse.
 Teradata is an open system, compliant with ANSI
standards.
 It is currently available on UNIX MP-RAS and
Windows 2000 operating systems.

3.  Teradata is a relational database management system
initially created by the firm with the same name.
 It is a massively parallel processing system running a
shared nothing architecture.
 It is linearly and predictably scalable in all dimensions
of a database system workload

4.  Also explaining its popularity for enterprise data
warehousing applications.
 more than 60% of the world's most admired global
companies use Teradata technology.

5.  Teradata act as a single data store with multiple client
application.
 Using teradata store the data once and use it for all
clients instead of replicating a database.
 Teradata provides the same connectivity for an entry
level system.

6.  A teradata system contains one or more nodes
 A node is an term for processing unit under the
control of a single operating system

7.  There are two types of teradata systems.They are
 Symmetric Multiprocessing(SMP)-it has a single node that
contains multiple CPU's sharing a memory pool
 Massively Parallel Processing (MMP)- multiple SMP nodes
working together comprises a larger MPP implementation of
teradata

8. Teradata database is Linearly scalable -
Expand the database capacity by just adding more nodes to the
existing database.
Extensive parallel processing -
Teradata has a extensive parallel processing capacity.
Shared nothing architecture -
It has high fault tolerance and data protection.

9. Teradata development and DBA resources are harder to
come by and therefore more expensive.
Many key tech is still under the control of Teradata PS.
Teradata is for enterprise application, not as widely used as
Oracle or Sybase.
It is not suitable for small transaction OLTP databases.

10.  Teradata is the future of the data mining .
In future everyone we start using teradata database.
Now it is costly,works are going to reduce it's cost.
So ,it will reach to small business people also