We performed a comparison between Qlik Replicate and SAS Data Integration Server based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."A valuable feature of Qlik Replicate is that you do not need ETL. It's easy to use—you choose two systems and it automatically replicates them. Even if there is no CDC available, if you insert it and update it, and there is nothing to find out, then you can use Qlik Replicate. It's a good product."
"From a technical perspective, this is an excellent product."
"The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate."
"It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors."
"We use Qlik Replicate to change data capture of databases in production environments."
"Great with replicating and updating records."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"The most useful functions of Qlik Replicate are the data manipulation to transformations."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution is very stable."
"The solution offers very good data manipulation and loading."
"It's not possible to replicate the QVC files in data analytics."
"In various scenarios, an important consideration is when we encounter issues and Qlik Replicate suggests reloading a specific table. If we face any problems or encounter errors with that table, it becomes necessary to make a change in Qlik Replicate. Performing a full reload every time is not feasible or practical. Instead, we should identify the specific issues and address them without repeating the entire reloading process. Based on this approach, we can investigate and resolve the problem by performing targeted loads from the source itself. This change aligns with my perspective and is something I would like to implement."
"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."
"In the next release, I would like to see closer integration with data catalyst."
"When you remote into it the Qlik Replicate UI a lot of times it just freezes. We set up the EC2, to allow them to go to the server and click on the Replicate icon, it just opens up and just sits there. At that point, we have to go into the EC2 and then reboot the server. This should be fixed, it is frustrating."
"This product could be improved by providing more insight regarding errors. One of our customers that uses Qlik Replicate has had an issue. We tried to debug it, but we could not trace the error message. The infrastructure site should give us more insight about errors. Qlik Replicate is not a business solution, it's an IT solution. The reporting tools and bug site should be improved."
"We'd like better connectivity."
"It would be better if the solution’s pricing were more obvious."
"So I would like to see improved integration with other software."
"The transform tool has limited access. They should make it more flexible."
"The initial setup of SAS Data Integration Server was complex."
Qlik Replicate is ranked 17th in Data Integration with 12 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. Qlik Replicate is rated 8.2, while SAS Data Integration Server is rated 7.4. The top reviewer of Qlik Replicate writes "A highly stable solution that can be used to change data capture in legacy systems". On the other hand, the top reviewer of SAS Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Fivetran, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), Azure Data Factory and AWS Glue.
See our list of best Data Integration vendors.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.