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."The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes."
"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."
"ETL is the most valuable feature."
"When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses."
"Finding logs is very easy on the solution."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job."
"They are very good at building out new aspects according to customer requirements."
"The solution could improve its API management."
"You can use other languages, such as Python, and easily connect to other systems."
"The product is easy to use and has many connectivity options."
"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."
"It is a scalable solution."
"The feature I found most valuable in SnapLogic is low-code development. Low-code development has been very useful for simple processes, which is required for business users such as extracting details from a file or getting things reported by calling your web service. Calling your web service also becomes easier with SnapLogic because of the snaps available, so if you have the documentation, you can call an API. You don't have to write all those clients to call an API, so that is another feature I found very easy in SnapLogic. Configuring and managing all the file systems also become very handy with the solution."
"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."
"I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."
"The initial setup could be more straightforward."
"There could be more customization options for the product."
"The initial setup can be complex."
"The solution can be a bit more user-friendly, similar to Informatica."
"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."
"The troubleshooting guide is very bad."
"Working with some of the big data components is good, but I can see improvements are needed."
"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."
"I don't think the support has better knowledge about technologies and tool support. There were lots of times when we had an issue, and it took me quite a long time to explain the problem. I feel like some of the support staff don't know their product well."
"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."
"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."
"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."
"The dashboards regarding scheduled tasks need further improvement."
"The support is the most important improvement they could make."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while SnapLogic is ranked 14th in Data Integration with 20 reviews. IBM InfoSphere DataStage is rated 7.8, while SnapLogic is rated 8.0. 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 SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and SAP Data Services, whereas SnapLogic is most compared with AWS Glue, Azure Data Factory, Informatica Cloud Data Integration, SSIS and Alteryx Designer. 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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