Users report that IBM Netezza Performance Server excels in built-in data analytics with a score of 9.1, which reviewers mention provides robust analytical capabilities directly within the database, making it easier to derive insights without needing external tools.
Reviewers mention that Amazon Redshift shines in data integration, scoring 8.8, with users appreciating its seamless connectivity to various data sources, which enhances the overall data management experience.
G2 users highlight that IBM Netezza Performance Server has a strong performance in data compression, scoring 8.8, which reviewers say helps in optimizing storage costs and improving query performance by reducing the amount of data processed.
Users on G2 report that Amazon Redshift offers superior cloud deployment capabilities, scoring 8.9, with reviewers mentioning its flexibility and scalability in cloud environments, making it a preferred choice for businesses looking to scale quickly.
Reviewers say that IBM Netezza Performance Server's ease of use is a significant advantage, with a score of 8.8, as users appreciate its intuitive interface that simplifies complex data tasks, enhancing productivity.
Users report that Amazon Redshift's data security features, particularly its encryption capabilities, score 8.8, with reviewers mentioning that this provides peace of mind for organizations handling sensitive data, ensuring compliance with security standards.
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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