Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.
| Product | Market Share (%) |
|---|---|
| Teradata | 15.2% |
| Oracle Exadata | 16.4% |
| Snowflake | 14.0% |
| Other | 54.400000000000006% |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| 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 |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 11 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 304 |
| Midsize Enterprise | 170 |
| Large Enterprise | 1260 |
As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.
What are the most important features of Teradata?Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.
Teradata was previously known as IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture.
Netflix
| Author info | Rating | Review Summary |
|---|---|---|
| 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. |
| 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 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. |
| Manager, Project at a consultancy with 1,001-5,000 employees | 3.5 | I work with banks and financial institutions and find Teradata's warehousing model valuable. However, it struggles with loading unstructured data and is costly. Azure Synapse SQL, with advanced analytics and machine learning, is our preferred choice, though Teradata excels in large transactions. |
