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 | 12.1% |
Oracle Exadata | 14.2% |
Snowflake | 12.5% |
Other | 61.2% |
Title | Rating | Mindshare | Recommending | |
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Microsoft Power BI | 4.0 | N/A | 93% | 326 interviewsAdd to research |
Databricks | 4.1 | N/A | 96% | 91 interviewsAdd to research |
Company Size | Count |
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Small Business | 18 |
Midsize Enterprise | 11 |
Large Enterprise | 35 |
Company Size | Count |
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Small Business | 271 |
Midsize Enterprise | 159 |
Large Enterprise | 1158 |
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?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).
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Author info | Rating | Review Summary |
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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. |
Principal Consultant & Director at Quensulting | 4.0 | I use Teradata mainly for data warehousing and OLAP analytics due to its exceptional performance in parallel computing and workload management. However, it needs to improve its cloud technology to stay competitive and cater to cloud-focused clients. |
Team Leader for Data Base Administrators at a government with 1,001-5,000 employees | 3.5 | Our primary use of Teradata is as a data warehouse for running analytics and heavy queries. The data mover utility is valuable for data replication, but replication and backup processes need improvement. Teradata is more expensive compared to SQL and Oracle. |
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. |
Senior Data Analyst at a outsourcing company with 201-500 employees | 4.0 | I find Teradata impressive for big data processing and learning resources, though it lacks advanced data science models. It's helping me improve my data analysis skills, but it needs better promotion for its in-database AI capabilities. |
Senior Data Architect at Teradata Corporation | 4.5 | I used Teradata for critical recovery tasks, benefiting from fast block-level data transfers. Its robustness is valuable, but costs are high. Improvements in the ETL engine and compatibility with big data tools like Cloudera and Spark are needed. |
Solution Architect at Capgemini | 4.0 | We leverage Teradata for our data warehouse to efficiently process and generate business intelligence reports. Its parallel processing architecture enhances data management and query performance. While scalable, improvements in handling unstructured data and documentation would enhance user experience. |
Data Warehouse Senior Manager at Etisalat | 4.0 | I use Teradata for reporting in my company. While it's been our choice for four years, its flexibility and expansion capabilities could be improved. I lack experience with other solutions, though my company has evaluated alternatives to Teradata. |