HCL DataConnect vs. Informatica Intelligent Data Management Cloud

I wouldn't recommend Data Integrator over SSIS, but it may be a better tool than other ETL offerings. Having a background in the Microsoft Stack, I am hesitant to recommend any other products especially in a Microsoft-centric company. If this was the only option to use, I think it does a good job at integrating systems after taking time to learn the approach. "Maps" in Data Integrator is definitely different than "process flow" philosophy in SSIS.

Incentivized

Informatica Cloud is an excellent tool for freeing up trapped data in your internal systems and exporting it into a cloud data warehouse or SQL container. Especially if you have any internal SQL query generators that allow you to copy and paste into the Source setup. For example, we use Business Objects internally, and you can build out the query you need inside the firewall with that, then paste it into the query within Informatica Cloud while establishing the Source connection. This way you are not writing all your source parameters by hand, cutting new jobs setup time by 50%. Where Cloud will not suit you well is if you need significant visibility to the health of the system from a tracking, monitoring or error handling standpoint. Cloud will tell you it failed, maybe give you an example error, but has no further troubleshooting or diagnostic assistance to offer.

Incentivized

• Map multiple source and destination tables - what would be done in many steps in SSIS can be done in one or two "maps" in Data Integrator.
• Platform independent, cloud based, no client software.
• Conversion of data types, write flat files - this helps us with integrating systems.
• Fairly straightforward to use if the user has ETL experience.

Incentivized

• Informatica Cloud is a great tool for automating data imports. Raw data files can be scheduled to run at designated times, and using pre-built mappings ensures that the data goes into the system accurately each time.
• It is also a great tool for converting raw data into specific formatting. For example, configuring the mapping so that the first letter of a first, middle or last name is always capitalized.
• Additionally, Informatica Cloud has a built-in field-matching tool so that records that already exist are updated rather than having duplicates created.

Incentivized

• Integration Manager needs better scheduling improvements. Like dependencies, and not running a process again if the prior run is still running.
• New connector development does not seem a priority.

Incentivized

• The User Interface can be a bit difficult to get in initial stages.
• Error messages are hard to understand which sometimes takes a lot of time for the resolution
• Cannot Implement complex SQL queries which should be fixed in future release.

Incentivized

I've never had trouble getting into contact with Informatica's support for technical help. I give it a nine because it does pretty well for mid to enterprise-scale workflows.

Incentivized

As I stated earlier, DataConnect makes a head-to-head run against the others. It has advantages and disadvantages compared to the competitors. The choice really comes down to pricing and specific requirement needs for the project you are planning. Questions such as On-premise or Cloud, Security, and Specific Connectors available will drive your decision.

Incentivized

Having used SQL Server Integration Services (SSIS) in the past, Informatica Cloud was a huge-step up in functionality, usability and performance. Hands-down, Informatica Cloud is a much more robust product overall. While SSIS is well-suited for specific instances (i.e. SQL Server-specific implementations), Informatica Cloud is a much better product as an overall integration/transformation tool.

Incentivized

• Our customer likes the consistent reliable integrations we have built so we [got] a definite return on investment.
• Problems are fairly easy to handle and rework.

Incentivized

• A positive impact is bringing more projects.
• Getting data out of various systems such as Salesforce.com or FTP and consolidating it into tables in one central database.
• Having the ability to run data transformation tasks (the equivalent of batch jobs in SF or stored procedures in SQL) on a schedule without consuming those resources on the target or source systems.

Incentivized