IBM DataStage vs. Vertify

Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.

Incentivized

When we first implemented, there were a lot of fields not set up/syncing properly. But by consulting with Vertify, for a lot of hours, we have been able to work through a lot of those errors, and our Account Manager and the tech support people like Markus and Jamie have been very supportive and helpful in getting us up and running properly.

• Very reliable in handling data extraction, data transformation and loading
• Flexibility in connecting to different type of databases, relational or non-relational
• Great features such as parallel processing, hash handling, etc.
• You can also take advantage of its FTP functions, and scheduling features if you need to.

Incentivized

• All clients in the CRM are mirrored in the ESP.
• Data points about client interaction are pushed to the email tool.
• Emails can be triggered based off activities that are tracked in the CRM.
• One or two-way syncs can be configured.

Incentivized

• You must understand and know the algorithms, since the wrong use of them generates more time in processing.
• Metadata. You need to develop with connectors, and taking all the Metadata from the menu, all the data that you complete manually, you can't track it.

Incentivized

• I think the UI could get a refresher. It looks a little old-school and I sometimes get lost in the navigation.
• I saw some inconsistencies on the scheduler, most likely caused by time zone differences. One dialogue reflected the user's time zone, the next server's time zone.

Because it is a flexible tool that can manage many flows and create a strong solution with a interesting use of variables. Easy to scale up as you can copy jobs arleady build and modify them. SQL queries allow to be fast in development and have the pushdown feature, but you loose a little of user friendly look. Metadata management is not strong as a visual feature, but can be determine by job codes.

Incentivized

Creating a mapping between source and target while also using lookups and transformations is not trivial. And VertifyData solved this reasonably well, at least all users in my organization understood it pretty quickly.

It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.

Incentivized

It is not the easiest user interface to read/understand. However, once you understand how it works, then using it is not that bad. It's hard to remember what feature is listed under what tab (Manage vs. Define). A suggestion would be to get all call to actions on the same page

IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.

Incentivized

No, it wasn’t my decision to use such an ETL product. I’m just the administrator at this point. I’ve heard there are other products there that are even on cloud support. That is much easier to use, more agile, and user-friendly. That doesn’t have that barrier from user to administrator to the developer standpoint.

We were using Scribe for similar tasks but with different connectors. And it served us well, so absolutely no hard feelings here. But when it came to creating complex workflows, we instantly understood Vertify's approach better. Data lookup and transformation e.g. are pretty easy in Vertify and ease of use was definitely what we were looking for.

• Not directly related to ROI or cost figures. Only comment here is that IBM tools tend to be more costly than average ETL tools, but it depends on if the company is an IBM shop.
• One positive aspect is the company has had not a need to switch ETL tool for years.
• Upgrading to newer versions of the tool brings flexibility in the tool and up-to-date features in relation to other applications.

Incentivized

• Independently, teams are able to carry out their process with less communication and at a higher level of accuracy.
• VertifyData is actively taking into consideration, consulting, and supporting our plans to build out the business