Users report that Teradata Vantage excels in Dynamic Segmentation> with a score of 8.8, allowing for more precise targeting in marketing efforts, while Amazon Redshift also performs well but slightly lower in this area.
Reviewers mention that Amazon Redshift shines in Data Lake Integration with a score of 8.6, making it easier to work with large datasets, whereas Teradata Vantage's score of 7.9 indicates room for improvement in this functionality.
G2 users highlight that Teradata Vantage's In-Database Machine Learning feature, scoring 6.8, is less robust compared to Amazon Redshift's score of 7.7, suggesting that users may find Redshift more effective for machine learning tasks.
Users on G2 report that Amazon Redshift's Ease of Setup is rated at 8.6, making it more user-friendly for new implementations compared to Teradata Vantage's score of 7.9, which may require more technical expertise.
Reviewers mention that Teradata Vantage's Data Governance capabilities score 8.0, which is competitive, but Amazon Redshift's score of 8.7 indicates a stronger emphasis on compliance and data management.
Users say that both platforms have strong Data Compression features, scoring 8.4 each, but Amazon Redshift's overall performance in Data Quality with a score of 8.8 suggests it may provide better data integrity for users.
Should I use with a data mart for a frontend tool that make request on it ?
3 Comments
NM
Hi Mehdi
Can you elaborate your question?
AWS Redshift is a DataBase/Data Warehouse service, which is Ideal for Analytical use cases.
You can...Read more
When can I use Amazon redshift?
3 Comments
PG
Redshift is big data warehousing solution to handle petabytes of data and also for real time decisions. If you want highly optimized data warehousing...Read more
What are the characteristics of redshift?
2 Comments
AK
Redshift is mainly used for Big data and analytics to store the data in columner format. Retrieve the data is very fast and parallel processing also most...Read more
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