Blendo vs. IBM InfoSphere Information Server vs. Informatica Intelligent Data Management Cloud

You can use infosphere: -If you have multiple targets and source systems and they are different than each other. -If your infostructure is so big and unplaned well so you can't find what you want to see. -If your databases not so strong to process your data

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

• It is very strong to make transformations/data derivations
• It is very easy to connect to various external data sources. It has an interface (stages) for each connection that simplifies the task
• It is a stable platform. And that parallelism helps make it fast for loading, if the process is well designed

• 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

• Lack of a strong web development environment.
• Metadata propagation in Jobs is somewhat complex.
• The possibility to develop jobs in Parallel and/or Server Engines is confusing.

• 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

• Scale of implementation
• IBM techsupport

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

I particularly believe that Information Server, especially DataStage, is superior in many aspects to the Oracle Data Integrator tool. Several market analysts such as Gartner and / or Forrester better position DataStage on the Oracle solution.

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

• Information Server can positively impact the costs of companies by increasing the productivity of development and therefore reduce their time and costs. It is estimated that DataStage can increase a developer's productivity by 40% on average.
• Better data governance
• Improve data quality and reduce bad data impacts

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