A quick way to analyze your data
October 07, 2021

A quick way to analyze your data

Prashast Vaish | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Oracle Autonomous Data Warehouse

Oracle Autonomous Data Warehouse is being used by our organization to help our clients get the best out of their data which was earlier analyzed using Microsoft Excel. It is currently being used by one department of the company which caters to an Australian insurance giant. The clients want to better utilize the claims data in order to reduce the pathing cost and increase income from recoveries.

Pros

  • Fast performance
  • User friendly
  • Fully managed
  • Data security

Cons

  • More data connection to different applications can be introduced
  • Pricing
  • User support service
  • It has helped generate key insights, reducing the cost of company per claim
  • It has helped gather average recovery information from each claim
  • It helped streamline the process of data analysis
As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it.

Do you think Oracle Autonomous Data Warehouse delivers good value for the price?

Yes

Are you happy with Oracle Autonomous Data Warehouse's feature set?

Yes

Did Oracle Autonomous Data Warehouse live up to sales and marketing promises?

Yes

Did implementation of Oracle Autonomous Data Warehouse go as expected?

Yes

Would you buy Oracle Autonomous Data Warehouse again?

Yes

It is well suited for scenarios where large data sets are to be analyzed and insights to be extracted. It is not suitable for translations like update, delete, etc as it is not optimized for this. The major purpose of a data warehouse is to handle large sets of data to efficiently analyze them to help businesses.

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