IBM Cloud Pak for Data vs SnapLogic comparison

"DataStage allows me to connect to different data sources."

"Its data preparation capabilities are highly valuable."

"The most valuable features are data virtualization and reporting."

"You can model the data there, connect the data models with the business processes and create data lineage processes."

"Scalability-wise, I rate the solution a nine or ten out of ten."

"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."

"IBM Watson Catalog and data pipelines are the most valuable features of the solution."

"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."

"I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL."

"SnapLogic is a great platform for establishing integrations among various systems or patterns by using any kind of interface. If something is not supported by predefined snaps – snaps are connectors in SnapLogic – you can create them (custom snaps) or write a script."

"Overall product rating is nine out of ten."

"I found SnapLogic valuable and what I found most valuable about it was its ETL feature. I also found its automation feature valuable. It can be used for automating manual activities. It can be used as a middleware for certain transactional data processing and minimal datasets and ETL activities."

"The connection with SOAP is the best feature."

"The API architecture makes it easy for orchestration."

"I find the reusability and the snaps to be very valuable features."

"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"

"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."

"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."

"What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated."

"The solution's catalog searching or map search needs to be improved."

"The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem."

"Cloud Pak would be improved with integration with cloud service providers like Cloudera."

"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."

"They should expand in terms of features for SaaS-based market requirements in different sectors."

"SnapLogic doesn't provide any on-premises software, so users have only cloud-based software to use."

"Connecting to data behind enterprise firewalls has been tricky."

"The solution isn't ideal for complex processing or logic. We use another solution for that."

"SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps."

"While new features are always welcome, I do not have anything else at the top of my mind currently."

"SnapLogic should have some inbuilt protocol mechanism in order to speed up."

"What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools."

"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."

"I think that this product is too expensive for smaller companies."

"Cloud Pak's cost is a little high."

"The solution is expensive."

"The solution's pricing is competitive with that of other vendors."

"It's quite expensive."

"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."

"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."

"When comparing it with solutions like Apigee or MuleSoft, it still offers better value."

"It is a higher initial cost than other easy-to-use integration apps."

"SnapLogic is not expensive. It's reasonably priced."

"The pricing is okay."

"The license model is based on consumption."

"The cost with SnapLogic is an annual license and better than Informatica."

"From the ROI perspective, the price is extremely high"

"I used the free trial."