Skip to content

What is Teradata SQL?

  • by

Teradata is an open source Database Management System for developing large-scale data warehousing applications. It supports several data warehouse operations at once using the concept of parallelism. Teradata is an enormously open processing system that supports Unix/Linux/Windows server platforms.

Teradata software was developed by Teradata Corporation, which is an American IT firm. It’s a manufacturer of analytics data platforms, applications, and related services. The firm develops a product that consolidates data from a variety of sources and make it accessible to be analyzed.

The history of Teradata

Teradata was an entity of NCR Corporation. It was incorporated in 1979 but parted away from NCR in October of 2007. Michael Koehler became the first CEO of Teradata.

Important Milestones at Teradata Corporation:

1979 – Teradata was added to the company in 1979.
1984 – Launch of the first database computer, DBC/1012.
1986 1987 Fortune magazine declared Teradata to be the “Product of the Year”
1999 – Largest database constructed with Teradata with 130 Terabytes
2002 Teradata V2R5 version release , with Partition Primary and compression
2006 – Launch of Teradata Master Data Management solution
2008 – Teradata 13.0 is released including Active Data Warehousing
The year 2011 is when Teradata acquires Teradata Aster and plunges into the Advanced Analytics Space
2012 – Teradata 14.0 introduced
2014 – Teradata 15.0 introduced
2015- Teradata Buys Apps Marketing Platform Appoxee
2016– Terada join forces with Big data
2017- Teradata Acquires San Diego’s StackIQ

Why Teradata?

Teradata provides a complete suite of services that focuses on Data Warehousing
The system is built upon an open architecture. In other words, whenever more powerful devices are available and integrated into the architecture already built.
Teradata can handle 50+ petabytes of storage.
Single operation view for a large Teradata multi-node system using Service Workstation
Compatible with a variety of BI tools that can fetch information.
It can act as an unifying point of reference for the DBA to manage the Database.
High-performance, diverse query, in-database analytics and sophisticated work management
Teradata allows you to access the same data in multiple deployment options

In the next installment of this Teradata tutorial, we’ll be introduced to the functions of Teradata.

Features of Teradata SQL

Teradata provides these powerful features:

Linear Scalability: Offers linear scaling when dealing with massive amounts of data. This can be accomplished by adding nodes to improve the performance of the system.
Unlimited Parallelism: Teradata SQL assistant is based on MPP (Massively Parallel Processing Architecture). This is why it has been built to be parallel from the beginning. It can break up a big task into smaller parts and then run them in parallel
Mature Optimizer Teradata Optimizer supports up to 64 joins in the query.
A low TCO Tera data has a low total cost of ownership. It is simple to setup and maintain as well as to manage.
Load & Unload utilities: Teradata offers load and unload tools to move data to and from the Teradata System.
Connectivity: This system can connect to channel-attached systems such as a mainframe and network-attached systems.
SQL: Teradata supports SQL to interact with the data stored in tables. It supports its extension.
Solid Utilities: Teradata provides robust tools to import and export data from or into Teradata systems, such as FastExport, FastLoad, MultiLoad and TPT.
Automatic Distribution Teradata can distribute the data to disks automatically without any need for manual intervention.

Next in the Teradata SQL tutorial, we will learn about Teradata Architecture.

Teradata Architecture

Teradata architecture is a Massively Parallel Processing Architecture.

Three essential parts to Teradata are:

Parsing Engine
Access Module Processors (AMPs)

Teradata Storage Architecture

Parsing Engine:

The Parsing Engine parses the queries and then prepares the execution plan. It handles sessions for users. It optimizes and sends an request to the users.

Thus, when the client executes queries for inserting record, Parsing Engine sends the records to the message Passing layer. BYNET, or Message Passing Layer is a hardware and software component. It has networking capabilities. It also retrieves records and then sends the row to the desired AMP.


AMP is an acronym as Access Module Processor. It is a database that stores data on disks. AMP carry out the following functions:

Manages a specific portion of the database
Each table is managed by a certain portion. table
Complete all the tasks required to generate a results set, including sort, aggregation and join
Manage space and lock

Teradata Retrieval Architecture

When the client runs queries to find records in the database, the Parsing engine transmits a request to BYNET. Then BYNET forwards the request for retrieval to the appropriate AMPs.

They search their disks sequential fashion and detect the required records, and then send them to BYNET. BYNET transmits the data to Parsing Engine, which in turn will be send back to your client.

In the next part of this Teradata Database tutorial, we will explore Teradata SQL commands.

Types of Teradata SQL commands

Teradata Database supports following basic SQL commands:

Data Definition Language (DDL) commands
Data Control Language (DCL) commands
Data Manipulation Language (DML) commands

Teradata Database Applications Teradata Database

The following are the top Teradata Applications:

Customer Data Management: Allows to maintain lasting relationships with customers.
Master Data Management: Allows to establish a system in which master information can be utilized, synchronized, and stored.
Finance and Performance Management It helps organizations improve the speed and efficiency of financial reporting. It lowers the costs of finance infrastructure and helps to improve enterprise performance.
Supply Chain Management: Improve Supply Chain Operations, which leads in providing better customer service, decreased cycle times, and lower inventories.
Demand Chain Management: Aids to increase the quality of customer service and sales. Additionally, it helps businesses anticipate that their customers are in high demand. store item accurately.


Teradata means: Teradata is an open-source Database Management System for developing large-scale databases and warehousing systems.
Teradata was a division that was part of NCR Corporation. It was established in 1979. It was separated from NCR in October 2007
Teradata offers a full suite of services that focus on Data Warehousing
Teradata can be scalable linearly when dealing with massive amounts of data. It does this by adding nodes that improve the performance of the system.
Three of the most important components of Teradata are 1) Parsing Engine 2.) MPP 3) Access Module Processors (AMPs)
Teradata offers a complete range of product suite to satisfy the Data warehousing and ETL needs of any organization
Teradata application is used primarily to manage Supply Chain Management, Master Data Management, Demand Chain Management etc.