We performed a comparison between IBM InfoSphere DataStage and Qlik Replicate based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table."
"The solution is stable."
"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."
"The Hierarchical Data Stage is good."
"The concept of integration is a valuable feature of the product."
"Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good."
"It works with multiple servers and offers high availability."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"Support has been great."
"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."
"It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach."
"Low-priced reporting and analytics solution, with good scalability and stability. It has on-premises and cloud versions that are cohesive and can integrate well."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables."
"From a technical perspective, this is an excellent product."
"The graphical user interface (GUI) feels a lot like the interfaces from the 1980s."
"Currently lacking virtualization ability."
"In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations."
"The initial setup could be more straightforward."
"What needs improvement in IBM InfoSphere DataStage is its pricing. The pricing for the solution is higher than its competitors, so a lot of the clients my company has worked with prefer other tools over IBM InfoSphere DataStage because of the high price tag. Another area for improvement in the solution stems from a lot of new types of databases, for example, databases in the cloud and big data have become available, and IBM InfoSphere DataStage is working on various connectors for different data sources, but that still isn't up-to-date, meaning that some connectors are missing for modern data sources. The latest version of IBM InfoSphere DataStage also has a complex architecture, so my team faced frequent outages and that should be improved as well."
"I want the tool to continue with the on-prem version, not the cloud one."
"So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component."
"The template mapping could be easier."
"Support for this product is not great. It needs to be improved."
"Support-wise, this solution is in need of improvement."
"The UI and data version control can be improved."
"In the next release, I would like to see closer integration with data catalyst."
"We would like to see more details in messages about errors with the system."
"We'd like better connectivity."
"It's not possible to replicate the QVC files in data analytics."
"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."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Qlik Replicate is ranked 17th in Data Integration with 12 reviews. IBM InfoSphere DataStage is rated 7.8, while Qlik Replicate is rated 8.2. The top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". On the other hand, the top reviewer of Qlik Replicate writes "A highly stable solution that can be used to change data capture in legacy systems". IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Fivetran. See our IBM InfoSphere DataStage vs. Qlik Replicate report.
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