We performed a comparison between Quest SharePlex 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."The core replication and its performance. Performance is crucial, and SharePlex is by far the fastest. The way it handles replication to multiple targets along with basic filtering, as well as from multiple sources to a single target, is very efficient."
"I like SharePlex's Compare and Repair tool."
"There are some capabilities within SharePlex where you can see how the data is migrating and if it still maintains good data integrity. For example, if there are some tables that get out of sync, there are ways to find them and fix the problem on the spot. Since these are very common issues, we can easily fix these types of problems using utilities, like compare and repair. So, if you find something is out of sync, then you can just repair that table. It basically syncs that table from source to target to see if there are any differences. It will then replicate those differences to the target."
"Because of the volume of the transactions, we heavily use a feature that allows SharePlex to replicate thousands of transactions. It's called PEP, Post Enhancement Performance, and that has helped us scale tremendously."
"The core features of the solution we like are the reliability of the data transfer and the accuracy of data read and write. The stability of the solution is also excellent."
"The solution is very stable."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution offers very good data manipulation and loading."
"I would like more ability to automate installation and configuration in line with some of the DevOps processes that are more mature in the market. That would be a considerable improvement."
"The reporting features need improvement. It would be very good for users to have a clear understanding of the status of replication."
"I don't know how easy it would be to change the architecture in an already implemented replication. For example, if we have a certain way of architecting for a particular database migration and want to change that during a period of time, is that an easy or difficult change? There was a need for us to change the architecture in-between the migration, but we didn't do it. We thought, "This is possibly complicated. Let's not change it in the middle because we were approaching our cutover date." That was one thing that we should have checked with support about for training."
"I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the performance of posting, we have to bump up a parameter. That means we need to stop the process, come up with a figure that we want to bump the parameter up to, and then start SharePlex. Machine learning and AI capabilities for these kinds of improvement would tremendously help boost productivity for us."
"For its function in relation to replication (i.e. filtering), I'd give it a six or seven out of 10. GoldenGate has much more functionality by comparison."
"The initial setup of SAS Data Integration Server was complex."
"The transform tool has limited access. They should make it more flexible."
"So I would like to see improved integration with other software."
Quest SharePlex is ranked 25th in Data Integration with 5 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. Quest SharePlex is rated 9.0, while SAS Data Integration Server is rated 7.4. The top reviewer of Quest SharePlex writes "It reduces the downtime and migration time exponentially". 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". Quest SharePlex is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Replicate, Oracle Enterprise Manager and Fivetran, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), AWS Glue and Azure Data Factory.
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