Users report that Oracle Exadata Cloud Service excels in data integration with a score of 8.8, which reviewers mention is particularly beneficial for enterprises needing seamless data flow across various systems.
Reviewers mention that Amazon Redshift shines in data quality, scoring 8.8, with users on G2 highlighting its robust capabilities in maintaining high data integrity during analytics processes.
G2 users note that Oracle Exadata's built-in data analytics feature, rated at 8.3, provides powerful analytics tools that are well-suited for complex enterprise needs, while Amazon Redshift's similar feature scored slightly lower at 8.1.
Users say that Amazon Redshift offers superior cloud deployment flexibility with a score of 8.9, which reviewers mention is a significant advantage for businesses looking for scalable cloud solutions.
Reviewers mention that Oracle Exadata's data governance and security features, both rated at 9.0, are highly regarded, with users emphasizing the importance of these features in enterprise environments where data compliance is critical.
Users on G2 report that while both products have strong performance scalability, Oracle Exadata's integrated cache feature, rated at 8.3, is particularly noted for enhancing query performance in high-demand scenarios.
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.
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.