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.NET Data Provider for Teradata

Version: 20.00.05.00 - Created: 09 Apr 2025

The .NET Data Provider for Teradata is an implementation of the Microsoft ADO.NET specification. It provides direct access to the Teradata Database and integrates with the DataSet. .NET Applications use the .NET Data Provider for Teradata to load data into the Teradata Database or retrieve data from the Teradata Database.   For Visual Studio 2017 and newer, you will need to download the Integrated Help package and/or the appropriate VS Integration package if you wish to use these features. For the VS Integration features, simply download the file and execute it. Microsoft Edge changes the file extension from VSIX to ZIP. You must rename the file back to VSIX to execute it. VSIXInstaller.exe is part of Visual Studio 2017 and VSIX extension should already be associated with VSIXInstaller.exe.  For Integrated Help, unzip the file to a temporary directory and then use the Help, Add and Remove Content menu to install the help. Use the Browse [...] button near the bottom of the dialog to select the extracted helpcontentsetup.msha file, then click Update. PLEASE NOTE that the VS Integration package is self-contained and does not require the .NET Data Provider for Teradata to be installed. However, a runtime dependency conflict may arise if your project depends on both, VS Integration and .NET Data Provider for Teradata. To avoid such conflict, the .NET Data Provider for Teradata must be the same or greater version than the VS Integration package. For older versions of Visual Studio, the main Windows installation package (version 16.10 and older) can optionally install the integrated help and Visual Studio integration features. The Teradata Developer Tools for Visual Studio is available from the Visual Studio Marketplace for Visual Studio 2015-2019 and Visual Studio 2022. The release contains a query tool that enables queries to be composed and executed against a Teradata Database. Queries are composed using a custom editor window with intellisense capabilities. Separate windows are used to display results and history. The .NET Data Provider for Teradata is also available as a NuGet package at https://www.nuget.org/packages/Teradata.Client.Provider/. The Entity Framework Core Provider is available as a NuGet package at https://www.nuget.org/packages/Teradata.EntityFrameworkCore/.   For community support, please visit the Connectivity forum.

Teradata Package for Generative AI

Version: 20.00.00.00 - Created: 17 Mar 2025

Teradata Package for Generative AI OverviewNote: Teradata recommends pip install from https://pypi.org/project/teradatagenai .Download from downloads.teradata.com location if your organization does not allow you to install directly from https://pypi.org/project/teradatagenai .teradatagenai is a Generative AI package developed by Teradata. It provides a robust suite of APIs tailored for diverse text analytics applications. With teradatagenai, users can seamlessly process and analyze text data from various sources, including emails, academic papers, social media posts, and product reviews. This enables users to gain insights with precision and depth that rival or surpass human analysis.General product information is available in the Teradata Documentation Website.For community support, please visit the Teradata Community.For Teradata customer support, please visit Teradata Support.Copyright 2025, Teradata. All Rights Reserved.

TdBench 8.01 For Any DBMS

Version: tdbench-8.01.04 - Created: 14 Oct 2024

TdBench is a tool designed to simulate realistic database workloads for applications and platforms.This tool can be used with any DBMS supporting JDBC to:Measure performance before vs after a change to add indexes, partitioning, compression, etcMeasure the impact to your DBMS of changes to settings, a patch, or a new software releaseSimulate a workload for a new application or a proof of conceptCompare the performance of one platform to anotherCompare performance of different data base vendor’s productsGetting Software and Help for TdBench:You can download the latest package of the TdBench jar file and setup information with scripts for Teradata and non-Teradata DBMSs from this page and unzip it in a directory on a server of PC with connectivity to your DBMSTerdata's JDBC driver is included.  Search the web for other vendor's JDBC drivers and save them on your server or PCAdditional DBMS setup scripts and information may be found at https://github.com/Teradata/tdbench.  You can submit issues, questions or contribute DBMS setup information at https://github.com/Teradata/tdbench/discussions.  Manuals, white papers and videos are reference at the bottom of this page. What does TdBench do?TdBench simulates realistic production systems by allowing definition of the different types of work and adjusting the number of concurrent executions for each type of work;It captures the results each query execution in its internal database.It facilitates analysis host DBMS resource consumption by maintaining test metadata on the host DBMS to join with its query logs.Tests are defined with:queues of SQL queries and scripts or OS commandsvariable number of execution threads (workers) per queuecommands to pace queries by time or percentageparameterized queries to simulate different usersoptional query prepare reducing DBMS parsingscheduled start of processes or individual queriesFixed work or fixed period execution modelsScripting language to automate multiple testsTests can be defined as simply as 4 statements. Analysis capabilities have been used to track individual query performance over hundreds of runs during projects with constraints like:WHERE RunID in (79, 81, 105)Example:  Basic test of all queries in 1 worker session:define serial Test of queries executed seriallyqueue thequeries scripts/queries/*.sqlworker thequeries mydbmsrunExample:  Fixed period test of 10 minutes with 2 queues and a total of 5 worker sessions:define workload5 Test of 1 heavy and 4 reporting worker sessionsqueue hvy scripts/queries/hvy*.sqlworker hvy mydbms 1queue rpt scripts/queries/rpt*.sql;worker rpt mydbms 4run 10mThere are nearly 60 commands for defining and scripting multiple tests.  You could use:the PACE command with an interval reference command to control arrival of queries on a queue, orPACE with a percentage  to limit the percentage of total queries executed from one queue, orAT command to schedule events, or QUERY LIST to replay query starting as the executed in production There are built-in variables, user variables, IF and GOTO statements.There are 69 built-in help files and a TdBench 8.01 User Guide to help you get started.TdBench Documentation:TdBench 8.01 User GuideTdbench 8.01 Tri-Fold Command ReferenceWhite Papers:Essential Guide to Benchmarks for DBAs1-Page Essential Guide to Benchmarks for ExecutivesBenchmark DeceptionBenchmark Deception And How to Avoid Benchmark TricksVideos:TdBench Overview  - Why it was created and what it does (0:10:09)TdBench Command Language - Demonstration of use (0:14:19)Design of a Good Benchmark - Training session on constructing a benchmark that models realistic database workloads (0:41:33)

teradatasqlalchemy

Version: 20.00.00.04 - Created: 04 Sep 2024

Teradata SQL Driver Dialect for SQLAlchemyThis package enables SQLAlchemy to connect to the Teradata Database.This package requires 64-bit Python 3.4 or later, and runs on Windows, macOS, and Linux. 32-bit Python is not supported.For community support, please visit the Teradata Community forums.For Teradata customer support, please visit Teradata Access.Copyright 2024 Teradata. All Rights Reserved.

Vantage Editor Desktop

Version: 01.01.00.00 - Created: 10 May 2024

Vantage Editor DesktopVantage Editor Desktop is an easy to install, lightweight SQL Editor that offers a simple and intuitive user experience for connecting to Teradata and running queries.With the Vantage Editor Desktop you can:Manage connections to SQL Engine 17.20 and aboveCreate, edit, run, rename and save SQL statements and scriptsView, sort, filter and download query resultsView, sort, search, query history and copy/paste for re-executionExport/import query history between Vantage Editor instancesBrowse database objects, mark favorites as starred, view detailed object insightsUpload limited data into existing tablesManage panel size and visibilityAdjust and set defaults for various featuresView in-product helpView the FAQ for more information  Vantage Editor FAQWhat's New Latest release (01.01.00.00) contains the following features:TLS 1.2 SupportSingle Sign On - Federated AuthenticationProxy Server SupportKerberos SupportSeveral Usability and Feature EnhancementsSeveral Quality Improvements and Bug Fixes Including the followingVEDITOR-880:Do not trim trailing spacesVEDITOR-681:Unable to create macroVEDITOR-664:Desktop Editor: Display gets overlapped messages without internet connection