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."The Hierarchical Data Stage is good."
"Offers great flexibility."
"The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"I am impressed with the tool's ETL tracing."
"The solution has improved the time it takes to perform tasks related to batch applications."
"We like the flexibility of modeling."
"We can view what we want to do. We can transform data and put them on tables."
"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."
"The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data applications."
"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."
"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."
"Support has been great."
"The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate."
"The most useful functions of Qlik Replicate are the data manipulation to transformations."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"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."
"In the future, I would like to see more integration with cloud technologies."
"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."
"The setup is extremely difficult."
"The graphical user interface (GUI) feels a lot like the interfaces from the 1980s."
"It would be useful to provide support for Python, AR, and Java."
"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."
"The UI and data version control can be improved."
"In the next release, I would like to see closer integration with data catalyst."
"Support-wise, this solution is in need of improvement."
"It would be better if the solution’s pricing were more obvious."
"Some features can also be overly dependent on each other. So, there is room for improvement."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Qlik Replicate is ranked 16th in Data Integration with 13 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 " Performs well with batch-wise data applications but some features can also be overly dependent on each other". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, 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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