Teradata Reviews

Name: Teradata
Brand: Teradata
Rating: 4.1 (83 reviews)

Vendor: Teradata

4.1 out of 5

83 reviews
88% willing to recommend

Leave a review

What is Teradata?

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Get the Teradata Buyer's Guide and find out what your peers are saying about Teradata, Microsoft Power BI, Informatica Intelligent Data Management Cloud (IDMC) and more!

Teradata is the #2 ranked solution in top Cloud Data Warehouse solutions, #3 ranked solution in top Data Warehouse solutions, #5 ranked solution in top Relational Databases, #5 ranked solution in top Marketing Management solutions, #5 ranked solution in top Database Management Systems (DBMS) solutions, #6 ranked solution in top Customer Experience Management solutions, #8 ranked solution in top Business Intelligence Tools, #11 ranked solution in top Data Integration Tools, and #13 ranked solution in best Backup and Recovery Software. PeerSpot users give Teradata an average rating of 8.2 out of 10. Teradata is most commonly compared to Microsoft Power BI: Teradata vs Microsoft Power BI. Teradata is popular among the large enterprise segment, accounting for 59% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 20% of all views.

Helped 886,468 peers since 2012

Featured Teradata reviews

David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

Read full review

Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

Read full review

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

The first thing that I appreciate about Teradata is its multi-parallel processing. Whatever queries we execute on Teradata, they are blazingly fast, so it offers really fast connectivity. Secondly, it also provides the MultiLoad feature, by which I can upload my Excels directly to Teradata or CSVs to analyze the data. The third feature is the QUALIFY or ROW_NUMBER keywords that I really appreciate about Teradata. The fourth thing is the way Teradata stores data in a columnar format for faster query processing, which is also one of the best features. The multi-parallel processing and fast query execution of Teradata have benefited me and my team greatly. What really happens is that we store multiple copies of the data, one in Teradata and the other in our HDFS or object storage. When we had to query the data from the object storage, it was really slow, but when we discovered that this dataset is also available in Teradata, it was really fast, especially related to the NPS project that I was discussing. That is probably one of the use cases that I can recall. Teradata has positively impacted my organization since its inception. Earlier, whatever data we used to house was in HDFS, then we migrated to cloud, and now we are using Teradata, but Teradata has also moved to cloud. Teradata has immensely helped our organization to fetch the data at a faster rate, which has saved us quite a lot of time. That is probably the very best thing about Teradata.

Read full review

Teradata mindshare

Product category:

As of April 2026, the mindshare of Teradata in the Data Warehouse category stands at 8.8%, down from 15.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Teradata	8.8%
Snowflake	9.5%
Oracle Exadata	7.6%
Other	74.1%

Data Warehouse

PeerResearch reports based on Teradata reviews

Type	Title	Date
Category	Data Warehouse	Apr 12, 2026	Download
Product	Reviews, tips, and advice from real users	Apr 12, 2026	Download
Comparison	Teradata vs Snowflake	Apr 12, 2026	Download
Comparison	Teradata vs Oracle Exadata	Apr 12, 2026	Download
Comparison	Teradata vs Dell PowerStore	Apr 12, 2026	Download

Valuable Features

Teradata's most valuable features include its fast query execution through parallel processing and MPP architecture, adaptability across on-premise and cloud environments, robust data security, ease of deployment, linear scalability, and comprehensive workload management. Users appreciate the ease of tuning queries, strong performance with large datasets, and integration capabilities that enhance data analytics. It stands out for high-speed complex query handling, stability, and a well-integrated ecosystem supporting advanced analytics and data insights.

"The performance is the key item we appreciate, we're able to easily trigger jobs and we have access to integrations for running jobs, it's easy to use for the most part, which is why I really like it, it's stable and reliable."
"Teradata's most valuable feature is that it's easy to use."
"Our customers say that Teradata makes them faster, smarter, and capable of more sophisticated analytics."

Room for Improvement

Teradata users express the need for improved transactional processing, pricing, and UI. They desire enhanced cloud adoption, user-friendliness, and integration with Big Data platforms. Concerns include scalability, handling unstructured data, and advanced analytics. Users find the setup and documentation challenging; they wish for better support and training. Performance improvements, especially for large data ingestion, and more features like AI integration and visualization options, are also sought.

"Apart from Control-M, it would be nice if it could integrate with other tools."
"Teradata's UI could be more user-friendly."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."

ROI

Teradata enhanced speed and sophistication in analytics, leading to significant customer satisfaction and time savings. Organizations reported reductions in staffing needs and improved service delivery. Advanced metrics and predictive models showed an average ROI of 427% over three years, with benefits including accelerated analytics and operational efficiencies. Users rated the return on investment highly, with financial gains, increased KPIs, and enhanced productivity reported as key benefits. Teradata demonstrated substantial value across different applications.

Pricing

Enterprise buyers perceive Teradata as a premium-priced solution, offering high-quality performance and stability. While initial costs and licensing fees are significant, they may be offset by a low total cost of ownership due to minimal downtime and reduced personnel needs. Companies appreciate its robust features and scalability, justifying the investment for larger projects. Teradata is adopting more flexible pricing models such as cloud-based and pay-as-you-go options, making it more competitive.

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

Popular Use Cases

Teradata's primary use involves data warehousing, enterprise data warehouse implementations, and storage for large corporations. Many businesses use it for business intelligence, analytics, and handling vast amounts of structured data, particularly in industries like finance, retail, and government. Teradata facilitates data storage, reporting, and analytics, aiding in areas like customer behavior modeling, financial analysis, and database management. Teradata is also utilized in cloud and on-premise setups, supporting robust data processing capabilities.

Service and Support

Teradata customer service and support generally receives high ratings, frequently described as excellent with considerable professionalism and expertise. While technical support often scores 8 to 10, some report delays in responses and occasional difficulty obtaining technical expertise. Users appreciate the comprehensive documentation and resources, citing beneficial guidance and training. Prompt SLAs and robust tools enhance user experience, though a few express dissatisfaction with response times and resolutions for complex issues, emphasizing room for improvement in consistency and efficiency.

Deployment

Some users find Teradata's initial setup straightforward and simple, while others note complexity due to specialized expertise required. Many appreciate professional assistance for seamless implementation, but some highlight the challenge of adapting from different database systems. On-premises deployment often requires more planning and time, whereas cloud setups are noted as easier and quicker. The transition phase sometimes requires pre-planning and collaboration among multiple teams to ensure smooth migration and configuration.

Scalability

Teradata's scalability is highly valued, with many noting its capabilities in cloud environments and ease of node addition. Although a few highlight issues with scaling on legacy systems or the need for hardware purchases, most agree on its strong performance and adaptability. It supports hybrid and multi-cloud models, facilitating expansion according to user requirements. Some users mention its cost-effectiveness, while others are challenged by complex licensing for scaling.

Stability

Teradata is known for its stability, with many users highlighting minimal downtime, reliable performance, and efficient handling of large workloads. While some experienced minor issues, they were mostly isolated. The platform's robust architecture, redundancy features, and capacity to manage substantial data volumes without degrading performance are frequently commended. Most users give high marks for stability and find it reliable, with some noting near-perfect uptime over lengthy use periods.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Teradata Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	12
Large Enterprise	38

By reviewers

By visitors reading reviews
Company Size	Count
Small Business	334
Midsize Enterprise	197
Large Enterprise	772

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Construction Company

Government

Computer Software Company

Comms Service Provider

Healthcare Company

Retailer

Performing Arts

Insurance Company

University

Outsourcing Company

Educational Organization

Media Company

Transportation Company

Energy/Utilities Company

Marketing Services Firm

Real Estate/Law Firm

Logistics Company

Recreational Facilities/Services Company

Consumer Goods Company

Pharma/Biotech Company

Legal Firm

Non Profit

Wholesaler/Distributor

Wellness & Fitness Company

Hospitality Company

Compare Teradata with alternative products

Learn more about Teradata

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Teradata was previously known as IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY).

Teradata customers

Netflix

Title	Rating	Mindshare	Recommending
Microsoft Power BI	4.0	N/A	93%	331 interviews Add to research
Informatica Intelligent Data Management Cloud (IDMC)	4.0	N/A	92%	214 interviews Add to research

Author info	Rating	Review Summary
Engineers at a consultancy with 11-50 employees	5.0	I found Teradata a stable, highly scalable platform for large-scale data analysis. Its superior performance, advanced analytics, and robust support offer significant ROI, making it ideal for data-driven decisions and efficient data processing.
Interim and Fractional CIO and CTO at a consultancy with 11-50 employees	4.5	I use Teradata for analytics and security, drastically reducing staff and improving ROI. It's stable, scalable, and support is great. My main challenge is finding expert resources, though speed was an initial concern.
Senior product analyst at a financial services firm with 10,001+ employees	4.0	I use Teradata for fast ETL and data analysis, leveraging its multi-parallel processing and columnar storage for quick queries. It has saved my team significant time, boosting productivity. I wish it had a web interface instead of a desktop app.
CEo at CloudPositive	4.5	I found Teradata excellent for petabyte-scale data warehousing and analytics, highlighting its MPP architecture and strong scalability. It provided good performance, stability, and ROI with excellent customer service, receiving a 9/10 despite minor improvement areas.
Data Engineer at Tredence Inc.	4.0	I use Teradata for large-scale retail data integration, valuing BTEQ and parallelism. However, its lack of AI/ML integration and unstructured data support are significant drawbacks compared to alternatives like Databricks, making recommendations difficult.
Senior Data Engineer at a media company with 1,001-5,000 employees	4.0	I find Teradata excellent for large-scale data storage and ETL, praising its fast multi-parallel processing and scalability. However, I note its challenging initial setup, limited documentation, and less intuitive terminal-based UI, plus it's somewhat costly.
Senior Software Engineer at a consultancy with 1,001-5,000 employees	4.0	I primarily use Teradata for SQL-based data analysis, appreciating its speed, scalability, and parallel processing, which are better than Netezza. It's stable and performs well, though I acknowledge room for general improvement.
Senior Data Analyst at a outsourcing company with 201-500 employees	4.0	I find Teradata's distributed computing, data processing, and educational resources impressive, especially the in-database K-Means. However, its AI models currently lack the flexibility needed for advanced data science, although I see its potential.

Teradata Reviews

What is Teradata?

Featured Teradata reviews

Teradata mindshare

PeerResearch reports based on Teradata reviews

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

Top industries

Compare Teradata with alternative products

Learn more about Teradata

Teradata customers

Related questions

Product Categories

Popular Comparisons