Great Data Lake Solution
December 30, 2020

Great Data Lake Solution

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

Overall Satisfaction with Amazon Redshift

Amazon Redshift is being used by some departments of our company to bring solution to data warehouse. Our data center was not large and scalable enough to have big scale data warehouse. So we take Amazon Redshift as one of the data warehouses we use to help us in data transformation.

Pros

  • It is very powerful, can hold anything you have.
  • It is scalable. Small or big, it can help you.
  • It is very fast. Can spin up cluster in minutes.

Cons

  • As data warehouse, it does not support fast I/O.
  • Learning can take more than expected.
  • You are not managing your data 100%.
  • It helped us in providing the data lake solution.
  • It has fast implementation speed so we can easily do sandboxing.
  • It supports lots of other tools so ETL is easy.
Amazon Redshift supports multiple data formats including multiple structured data formats. And it is easy to implement a cluster if you do not have knowledge of data lake solution. Also when you do not need a lot of resources, you can just scale down so you do not have to spend more than you need.

Do you think Amazon Redshift delivers good value for the price?

Yes

Are you happy with Amazon Redshift's feature set?

Yes

Did Amazon Redshift live up to sales and marketing promises?

Yes

Did implementation of Amazon Redshift go as expected?

Yes

Would you buy Amazon Redshift again?

Yes

If you do not require a fast I/O rate. And frankly you should not expect that from data warehouse. And if you do not mind that your data is on cloud and only on AWS, and if you want a scalable and fast implementation of data lake, then you should consider Amazon Redshift.

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