Best server for making the data lakes and using the data from it for analytics.
February 20, 2020

Best server for making the data lakes and using the data from it for analytics.

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAS Enterprise Data Integration Server

This is used department-wide for different clients. There are very limited people who are using it because for handling this tool some experience is required. We use it to make data lakes for fetching data and using it for analyzing patterns.

Pros

  • It can process multiple data sources together.
  • It works very fast and is highly scalable.

Cons

  • It hangs a lot, that means that while loading huge data it sometimes slows down.
  • No modelling options available in the tool.
  • It made life easy as many options are drag and drop. So work happens fast and ROI improved.
  • We can use multiple data sources simultaneously for creation of the data. I think this also increases the ROI.
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.

Do you think SAS Data Management delivers good value for the price?

Yes

Are you happy with SAS Data Management's feature set?

Yes

Did SAS Data Management live up to sales and marketing promises?

Yes

Did implementation of SAS Data Management go as expected?

I wasn't involved with the implementation phase

Would you buy SAS Data Management again?

Yes

It is suited for taking data from multiple sources simultaneously like for example the streaming data of transactions in retail stores. It processes the data at a pretty high pace and gives high results every time.

It is less appropriate sometimes because it hangs sometimes and does not have a large user community available over the internet.

SAS Data Management Feature Ratings

8.5
Connect to traditional data sources
9
Connecto to Big Data and NoSQL
8
9.0
Simple transformations
10
Complex transformations
8
7.4
Data model creation
6
Metadata management
8
Business rules and workflow
7
Collaboration
7
Testing and debugging
9
7.5
Integration with data quality tools
8
Integration with MDM tools
7

SAS Enterprise Data Integration Server Support

Overall I am satisfied with this product as it meets my all requirements and made my life easy for analyzing the data and especially the streaming data.

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