Users report that Hive excels in data integration with a score of 9.2, allowing seamless connections with various data sources, while Amazon Redshift, with a score of 8.8, is slightly less flexible in this area.
Reviewers mention that Hive's built-in data analytics feature scores 8.3, providing robust analytical capabilities, whereas Amazon Redshift's score of 8.1 indicates it may not be as comprehensive in this aspect.
G2 users highlight that Hive's data lake integration is rated at 9.0, making it a strong choice for organizations utilizing data lakes, while Amazon Redshift's score of 8.6 suggests it may not be as optimized for this use case.
Users on G2 report that Amazon Redshift shines in scalability with a score of 8.9, making it suitable for growing data needs, while Hive's score of 7.9 indicates it may face challenges in scaling efficiently.
Reviewers mention that both products have similar data security ratings, with Hive at 8.8 and Amazon Redshift also at 8.8, indicating that both platforms provide robust security features, but specific user experiences may vary.
Users say that Hive's ease of setup is rated at 7.8, which some find challenging compared to Amazon Redshift's higher score of 8.6, suggesting that Redshift may offer a more user-friendly onboarding experience.
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
Is Amazon redshift good for large datasets considering its cost.
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