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Teradata Vantage

Teradata Vantage

Overview

What is Teradata Vantage?

Teradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of…

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Recent Reviews

Teradata review

8 out of 10
September 15, 2023
Incentivized
Im not currently involved in addressing the business problem i deal with the customer relationship between us and Teradata
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Vantage Advantage

9 out of 10
September 13, 2023
Incentivized
We use Teradata primarily for 3 purposes:
1) Data Warehouse - That provides analytics, internal and external regulatory reporting. Data …
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I like Teradata!

10 out of 10
September 13, 2023
Incentivized
We are utilizing Teradata for multiple purpouses. We have about 15 different applications, 45 source systems and 25 output systems in use. …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Verified User
Engineer in Information Technology
Telecommunications Company, 1001-5000 employees
Verified User
Director in Information Technology
Telecommunications Company, 5001-10,000 employees
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Pricing

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Teradata VantageCore

$0

On Premise

Teradata VantageCloud Lake

$0

Cloud

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://www.teradata.com/Getting…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

Teradata ClearScape Analytics Experience Web

www.teradata.com
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Product Details

What is Teradata Vantage?

Teradata Vantage is a connected multi-cloud data platform for enterprise analytics that unifies data lakes, data warehouses, analytics and new data sources and types. Supporting hybrid, multi-cloud environments and priced for flexibility, Vantage aims to deliver unlimited intelligence to build the future of business. Teradata Vantage can be deployed on public clouds-as well as on premises with Teradata IntelliFlex, or on commodity hardware with VMware.


Teradata Vantage offers
  • Agile business user productivity – from Teradata Vantage’s fast parallel performance, 1012 compute node scalability, and workload management, driven by Teradata’s cost-based optimizer that minimizes compute and IO costs while delivering results faster. Business users wait seconds or minutes, not hours to make well-informed decisions.
  • Modern cloud native services – with on-demand cloud instances, native object storage read/write access, VantageCloud Lake Console for IT and business user control, and pay-as-you-go pricing. Includes hybrid and multi-cloud AWS, Azure, Google public clouds and on-premises VMware private clouds.
  • Built-in parallel AI/machine learning and MLOps – with over 140 data science algorithms Vantage scales machine learning by training models on more than 1 million observations, and scoring them against more than 250 million observations multiple times per day. Plus, built-in MLOps that detects model drift and automates model rebuilding.

Teradata Vantage Screenshots

Screenshot of Teradata VantageCloud Lake Console Financial GovernanceScreenshot of Teradata VantageCloud Lake Console Landing Page

Teradata Vantage Integrations

Teradata Vantage Competitors

Teradata Vantage Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsLinux
Mobile ApplicationNo
Supported CountriesGlobal
Supported LanguagesEnglish, French, German, Japanese, Korean, Russian, Chinese, Spanish, Portuguese, +15 more

Teradata Vantage Downloadables

Frequently Asked Questions

Teradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of business. Users can deploy Vantage on public clouds (such as AWS, Azure, and GCP), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware.

Snowflake, Amazon Redshift, and Oracle Exadata are common alternatives for Teradata Vantage.

Reviewers rate Usability highest, with a score of 7.3.

The most common users of Teradata Vantage are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(160)

Attribute Ratings

Reviews

(1-10 of 10)
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March 01, 2024

Teradata Vantage - very good choice

Verified User
Engineer in Information Technology
Telecommunications Company, 1001-5000 employees
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Teradata Vantage is used as an integrated Enterprise Data Warehouse (EDW) that consolidates data from major systems in the company. Both batch and real-time (CDC, Kafka) integration patterns are used to load data into EDW. EDW has three standard layers - acquisition, integration, access. Transformations from acquistion to integration layer (and from integration to access) are implemented in database using SQL capabilities (ELT). EDW supports major analytical processes in the company - reporting, campaign management, fraud detection, customer value management. EDW also serves as one of the data sources for AI and maching learning activities.
Pros and Cons
  • strong SQL capabilities with many in-database functions
  • workload managment
  • support for temporal tables (time travel)
  • Teradata Studio - client tool for SQL developers and database administrators
  • automated performance tunning based on the system metadata
Likelihood to Recommend
Teradata Vantage provides strong analytical capabilities for structured data that offers excellent performance even on very large data sets. Besides the traditional block storage Teradata offers other kinds of data storage that can be used in specific cases, e.g. columnar and object storage (NOS). Rich set of in-database analytical functions allows analysts to effectively get insights from data inluding machine learning capabilities.
October 09, 2023

Great scalable, forward-thinking platform with demonstrated trust in secure industries

Verified User
Engineer in Product Management
Information Technology & Services Company, 1001-5000 employees
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We are exploring using Vantage and Clearscape Analytics for several industry-specific use cases, including ESG, Banking/Finance, and CE/CX. We are combining automation and workflow orchestration with large datasets, BI outputs, and AI integration including Generative and LLM.
Pros and Cons
  • Lightweight but highly scalable
  • Secure
  • Easy to use
  • More 3rd party integrations
  • Business App layer integration
Likelihood to Recommend
Highly secure, large volume use cases
GenAI/performance-intensive applications
September 13, 2023

I like Teradata!

Verified User
Engineer in Information Technology
Telecommunications Company, 10,001+ employees
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We are utilizing Teradata for multiple purpouses. We have about 15 different applications, 45 source systems and 25 output systems in use. We are having couple hundred reports in production, having Teradata as a main source of data.
Pros and Cons
  • speed
  • parallel processing
  • hybrid architecture
  • price
  • space
Likelihood to Recommend
Data and user management, easy to use
August 18, 2023

Teradata Vantage: experience years, but still up-to-date with latest tech features

DD
Daniel Dietschi
Analytic Applications Specialist
SICREDI (Financial Services, 10,001+ employees)
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Teradata Vantage is the main DW platform at SICREDI. Different front-end tools connect to Teradata Vantage to summary reports, which can be drilled-down. Besides that, Teradata Vantage supports many ad-hoc queries from users across the company.
Some regulation reports, which sweep different sources and generate XML outputs come from Teradata Vantage.
History data from source systems are kept in Teradata Vantage for a longer period of time. After that, Teradata Vantage NOS (Native Object Store) sends old data to S3 Parquet files to be stored as archived data.
Pros and Cons
  • ETL (Extract - Transfor - Load)
  • NOS to send data from Teradata Vantage to S3 and from S3 to Teradata Vantage
  • Teradata GeoSpacial feature
  • Bulk reading and writing in huge tables
  • MPP capacity already mature
  • Temporal Capacity more mature that other solutions
  • TASM
  • Unity (CDC needs a lot of improvement)
  • Ecosystem
  • Procedure programming language (very poor)
  • Functions programming language (very poor)
  • Space management needs improvement
  • BAR should be part of main solution and not an "extra" feature (as Oracle)
  • Native data masking feature (Oracle has "data redaction")
  • Teradata Vantage should have "Synonym" feature
Likelihood to Recommend
Teradata Vantage is an excellent Analytics solution overall. Very well suited for data warehousing, ETL, mass data handling, front-end reporting, etc. Its MPP capability is mature due to several decades of experience. MPP capability fits very well for cloud computing paradigm. GeoSpacial feature is fine too. It does not seem very well suited for non-structured data (NoSQL). Also not well suited to be a transactional /operational DataBase, such as Oracle or DB2.
August 06, 2023

Teradata Vantage Review

SR
Santiago Romo
Data Engineer
Seguros SURA (Insurance, 10,001+ employees)
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We use Teradata Vantage in our organization to manage our data warehouse where we extract, transform, and load information from many transactional sources into the data warehouse. All of this is to solve and support business problems like decision-making, the big picture of every product, and data government.
Pros and Cons
  • Performance
  • Innovation
  • Easy to use
  • Teradata Studio integrated with VisualStudioCode
  • Teradata Studio integrated with Github Copilot
  • Teradata Studio integrated with basic graphics to explore data instantly
  • Support other languages like: python or R in Teradata Studio
Likelihood to Recommend
Well suited: data warehousing, and large-data queries
Less appropriate: lakehouse, processing multiple languages like R, and Python
July 27, 2023

Teradata Vantage Review Audi Data Engineering

MG
Matthias Graunitz
Head of Data Engineering
AUDI AG (Automotive, 10,001+ employees)
Score 9 out of 10
Vetted Review
Verified User
Use Cases and Deployment Scope
We've created a core data model that contains several data source out of the following data domains. Sales, aftersales and quality data. Out of this core model we are able to delivery various specific views for a wide range of data products. data products are reports, dashboard, self-service data access and sandboxes to integrate data source on demand.
Pros and Cons
  • Performance
  • Analytical Capabilities
  • Customer Support
  • cloud offering (order process)
  • cloud pricing
Likelihood to Recommend
In my opinion, operational BI with write-back scenarios are not very well supported. Very good analytical capabilities, tuning options and very powerful sql features.
May 12, 2021

Best analytical database

Verified User
Engineer in Engineering
Internet Company, 5001-10,000 employees
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Teradata is being used by the entire company with more than 1200 active users on a weekly basis. Teradata is our enterprise data warehouse. It was heavily used for handling massive volume of data to support our business with reports and raw data. It was used for analyzing web logs data.
Pros and Cons
  • Teradata is a MPP system and its capabilities allow [us] to process a huge amount of data with great performance since it works by the concept of nodes (amps), being scalable and offering great reliability about data recovering, massive processing managing, data backup, etc.
  • Teradata Vantage integrates Python, R and other tools that allow [us] to work and develop complex Data Science wise processes.
  • Teradata is extremely efficient and it has lot of utilities to support extraction from different source systems.
  • Support for geospatial data could be better.
  • Quite expensive compared to other products out there on the market.
Likelihood to Recommend
Teradata query engine is one of the best optimizer.s It's much faster and convenient to develop ETL process with Tetadata since it is designed to work effectively for most of the queries. Teradata provides support for connecting with many different systems to load and transfer terabytes of data efficiently with faster turnaround time.
March 29, 2018

Analytics in the Cloud without Reinventing the Wheel

Verified User
Consultant in Information Technology
Information Technology and Services Company, 10,001+ employees
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
I was recently involved in a top 500 company cloud migration to Teradata Enterprise on AWS https://aws.amazon.com/marketplace/pp/B01LW1R13T. There was a need to migrate the local company owned data center to the cloud and that included the existing production Teradata Enterprise Data Warehouse and all its dependencies. This was the largest and the first MMP in the AWS cloud whereas previously the only option for Teradata in the cloud were single node options. The biggest challenge we faced was not related to Teradata but getting the network configuration tuned to satisfy the interfacing of the existing non cloud enterprise with the cloud Teradata Enterprise. This also was critical so that we could migrate nearly 100TB of data to the cloud over a single weekend.
Pros and Cons
  • The Teradata Enterprise provides the best workload management bar none. There is virtually no analytic task that it can not handle. It is designed to handle mixed workloads and it shows. Tactical query related reports and applications can easily be given high priority while more processing intensive queries can be throttled and prioritized internally like a finely tuned data super highway so to prevent data traffic jams and allow the entire enterprise to be served efficiently.
  • Designed to be easily maintained. Teradata requires very little maintenance compared to other enterprise DBs. Also, the integrated Viewpoint server provides a central view of the enterprise data-warehouse and supports servers. It also has convenient direct integration with DSA backups and supports analytic data labs that can be used to empower users.
  • Teradata supports all the latest analytic open source languages and has advanced APIs that can be easily be leveraged within custom scripts and applications. The feature set integrated out of the box in Teradata is something few competitors can match. It also supports Map Reduce and other analytic functions natively in the database.
  • The new Teradata Enterprise in the Cloud on AWS makes changing node configurations to handle increased workloads a matter of hours rather than weeks type process and rather than dealing with trying to reinvent the wheel with a new infant "open source" or "new" cloud database that is missing core features that mature databases like Teradata have supported for years as a customer you get the maturity as well the cutting edge cloud capabilities in a no-compromise solution.
  • Teradata Intellicloud support provides pain-free management of the cloud environment. It handles the backups and manages EC2 instances to keep everything running smoothly.
  • The Teradata Querygrid product provides a level of interoperability between itself and competitor and open sources data sources without having to design complex ETL.
  • Teradata can improve by supporting more native AWS cloud features. Currently if a node goes down the EC2 instance must be restarted. It isn't something that happens frequently but more tight integration with cloud providers like AWS and Azure will allow Teradata to offer truly dynamic scaling.
  • Some Teradata features are oversold before they are ready for prime-time. Teradata is not unique in this but if something is sold as an integrated product stack it should really be integrated not something that requires an extensive development cycle to be integrated at a customer's expense. If something is supported it should've really be tested and QAed thoroughly before a customer touches it.
Likelihood to Recommend
Teradata is the premier analytic platform. If you need to enable real-time access to multiple terabytes/petabytes of your organization's data to help you make real-time decisions in a way that translates into real dollars in sales and strengthened customer relationships then there is no better choice. Teradata is NOT an OLTP appropriate database and it may not be the best place to process all your data but as far as enabling your Analytic enterprise Teradata is always going to provide the best ROI for medium and large enterprises and now with new cloud integration even small enterprises can have the advantages of Teradata that used to be only available to the larger enterprises.
January 25, 2018

Big Solution for Big Data Analytic and Visualization

Verified User
Engineer in Information Technology
Telecommunications Company, 1001-5000 employees
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Teradata Aster Database caters our company's needs to perform analytics in gathering insight from the company's big data in a timely manner and a considerable amount of cost. It is currently being used as an insight layer on top of pre-existing Hadoop's HDFS as a storage layer. The interoperability with Hadoop is a huge advantage in deployment stage.
Pros and Cons
  • Excellent performance compared to our legacy system.
  • Superb analytics for multi-structured data sources and types.
  • Multiple analytic engines and compatibility with HDFS are main advantages.
  • Cost is one of the main concerns if deploying the solution from a scratch
Likelihood to Recommend
Teradata Aster Database integrates seamlessly with Hadoop's Big Data Stack and the analytic and visualization power of MapReduce, R, Graph, and SQL enables data scientist to deliver insights and reports and timely manner. However, without pre-existing Hadoop, the deployment of this solution will take more time and possibly will incur additional costs.
December 16, 2015

Perfect for large corporations

Verified User
Analyst in Other
Management Consulting Company, 51-200 employees
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Our company uses Teradata to merge various departments across the whole organization. With data coming from many source systems, we are able to use Teradata to enhance our Business Intelligence practices and provide our executives with next-day reporting. Merged data includes sales, customer care, product inventory, and field technician performance.
Pros and Cons
  • Can query multiple databases within one server and view all results in one window. Helps speed up analysis.
  • Teradata uses AMPs (Access Module Processors) to increase speed of data processing/queries. You must use 'COLLECT STATISTICS' properly to efficiently use the AMPs.
  • Most standard SQL practices work on Teradata. Also, Teradata formats the query in a nice colored structure.
  • Can search for tablenames or specific columnnames across the entire server. Helps when changing a specific column or table structure.
  • Errors on compiling a procedure are sometimes hard to decipher. Teradata provides a line number of the error but this number does not always match the line number of the procedure in the query window.
  • Teradata won't run a query if I copy and paste from my internal company chat. Something with the formatting from the chat creates a syntax error, so I have to take time to rewrite the query.
  • I haven't been able to insert multiple new rows into a table with 1 insert. Other SQL programs allow this with a comma, but Teradata makes you create separate inserts for each row.
Likelihood to Recommend
It is highly applicable for large, corporate companies with data coming from multiple sources. Teradata can be used as an ODS (Operational Data Store) to merge the source data, then it can also be used to create development/UAT databases, and production databases under the same server. It is capable of processing billions of records per day. It is less appropriate for companies with a single source of data.
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