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.



| Product | Market Share (%) |
|---|---|
| Teradata | 10.3% |
| Oracle Exadata | 11.7% |
| Snowflake | 10.7% |
| Other | 67.3% |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Microsoft Power BI | 4.0 | N/A | 93% | 327 interviewsAdd to research |
| Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | N/A | 92% | 214 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 12 |
| Large Enterprise | 38 |
| Company Size | Count |
|---|---|
| Small Business | 260 |
| Midsize Enterprise | 159 |
| Large Enterprise | 989 |
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?
What benefits and ROI do users look for?
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).
Netflix
| Author info | Rating | Review Summary |
|---|---|---|
| Engineers at a consultancy with 11-50 employees | 5.0 | I found Teradata to be a stable, high-performing platform with strong analytics capabilities, scalability, and support, making it ideal for large-scale data processing across various industries and providing excellent value and return on investment. |
| Interim and Fractional CIO and CTO at a consultancy with 11-50 employees | 4.5 | I've used Teradata for 12 years to enhance data analytics and process efficiency, valuing its security, scalability, and analytics, though speed and expert availability remain challenges; overall, it's greatly improved performance, ROI, and data-driven decision-making. |
| Senior product analyst at a financial services firm with 10,001+ employees | 4.0 | I've used Teradata for over seven years for ETL and data analysis, appreciating its fast, parallel processing and scalability. It saves us 15–20% time, though a web interface would improve usability. |
| Co-Founder, CEO at a tech services company with 1-10 employees | 4.5 | I use Teradata primarily for large-scale data warehousing and analytics, and its MPP architecture handles petabyte-scale data efficiently. It's stable, scalable, and reliable with excellent support, though there's always room for slight performance and availability improvements. |
| Data Engineer at Tredence Inc. | 4.0 | I've used Teradata for over two years for scripting and data integration in retail projects; it's stable and scalable, though lacking AI/ML features and flexible data storage options, with setup being complex but overall functionality strong. |
| Senior Data Engineer at a media company with 1,001-5,000 employees | 4.0 | I use Teradata mainly for storing and processing telecom data; it offers strong scalability and performance, though setup is complex and the interface could improve. It's reliable for large-scale batch operations but lacks comprehensive documentation. |
| Senior Software Engineer at a consultancy with 1,001-5,000 employees | 4.0 | I've used Teradata for nearly two years to write SQL based on business needs. It's faster and more scalable than Netezza, with reliable performance and parallel job processing, though I see room for improvement with no-code tools. |
| Data engineer at Cocos pt | 4.5 | In my experience, Teradata is a powerful tool for building real-time data warehouses, despite its high cost compared to competitors like Oracle and Microsoft. I've worked with various ETL tools and observed that Teradata remains a reliable choice. |