We performed a comparison between IBM InfoSphere DataStage and SnapLogic 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."Offers great flexibility."
"The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed."
"It works with multiple servers and offers high availability."
"We like the flexibility of modeling."
"The concept of integration is a valuable feature of the product."
"Once you have Infosphere up and running properly, it is stable."
"We can view what we want to do. We can transform data and put them on tables."
"The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage."
"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."
"The initial setup is very straightforward."
"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"
"What I found most valuable in SnapLogic is the ETL feature, particularly the Transform Snap Pack, for example, any kind of reading or writing on Transform Snaps. Other than that, all the third-party connectivity tools such as the SAP Snap Pack, Salesforce Snap Pack, Workday Snap Pack, even the ServiceNow Snap Pack, I find all those are pretty useful in SnapLogic."
"You can use other languages, such as Python, and easily connect to other systems."
"The solution could improve its API management."
"The product is easy to use and has many connectivity options."
"The solutions ability to connect "snaps" or components to the graphic user interface is very intuitive, prevents errors, and makes implementations easy."
"The interface needs work to be more user-friendly."
"It would be useful to provide support for Python, AR, and Java."
"The initial setup can be complex."
"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."
"I want the tool to continue with the on-prem version, not the cloud one."
"The solution should be more user-friendly."
"We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great."
"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."
"One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."
"SnapLogic doesn't provide any on-premises software, so users have only cloud-based software to use."
"SnapLogic should have some inbuilt protocol mechanism in order to speed up."
"Connecting to data behind enterprise firewalls has been tricky."
"One of the areas for improvement in SnapLogic is that the connectors for some of the applications should be more available in terms of testing in the dev environment. Another area for improvement is that the logging should be standardized, for example, the integration with an ELK stack should be required out-of-the-box, so you can ship the log and have it in the ELK stack. There should be integration with ELK stack for the log shipping."
"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."
"We'd like zero downtime in the future."
"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."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 36 reviews while SnapLogic doesn't meet the minimum requirements to be ranked in Data Integration with 19 reviews. IBM InfoSphere DataStage is rated 7.8, while SnapLogic 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 SnapLogic writes "Easy to set up, easy to use, and is low-code". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and SAP Data Services, whereas SnapLogic is most compared with Azure Data Factory, AWS Glue, Informatica Cloud Data Integration, SSIS and Matillion ETL. See our IBM InfoSphere DataStage vs. SnapLogic report.
See our list of best Data Integration vendors and best Cloud Data Integration vendors.
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