When assessing the two solutions, reviewers found EXASOL easier to use and administer. Reviewers also felt that EXASOL was easier to do business with overall. However reviewers felt that the products are equally easy to set up.
Reviewers felt that EXASOL meets the needs of their business better than Amazon Redshift.
When comparing quality of ongoing product support, reviewers felt that EXASOL is the preferred option.
For feature updates and roadmaps, our reviewers preferred the direction of Amazon Redshift over EXASOL.
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
It is a free-to-use, one-node image of the Exasol In-Memory Database that can be installed on common virtualization solutions, including VMware, VirtualBox...Read more
Training
1 Comment
Official Response from EXASOL
As part of our online-self learning platform, Exacademy, you can get more information about Exasol and how to run our database.
Register here:...Read more
How do you use Exasol?
1 Comment
SA
We are using Exasol as a Database and we have created ETL pipeline using the Lua scripts in Exasol.
Exasol is pretty much similar than SQL server but...Read more
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