Likelihood to Recommend 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.
Read full review Informatica Cloud is a great tool for use when data must be formatted consistently. Once configured, it is very robust and reliable. It is also well-suited for an organization without a robust IT staff to maintain a full server infrastructure. It offers a cost-effective approach to high-quality data integration for even the largest organizations. Organizations without staff experienced in data analytics may find it challenging to take advantage of the more complex results of this tool.
Read full review Pros Data movement Seamless integration of scripts and etl jobs Descriptive logging Ability to work with myriad of data assets Direct integration for Governance catalog Read full review Once the secure connection is established it’s quite easy to operate and create new jobs. The controls are simple, and we appreciate the fact there are not a lot of complex fine-tunings required. Navigation is also easy, and we enjoy the ability to open multiple tabs in the browser to work on multiple projects. The monitoring functionality works well to help track the progress of the jobs, again, without too much complication. In a fast dev environment, speed is essential and we quickly seeing the status/progress of jobs as well as any errors if the jobs fail helps us maintain speed. The web interface is a lot easier to interact with than the client/on-prem version. Putting much of the heavy lifting of interacting with the tool onto the shoulders of the browser makes it easier to keep multiple sessions open and get in/out quickly without having to VPN into the office. Read full review Cons Connector Stages to Snowflake on the cloud. We had some issues initially but since then had been corrected. Accessing tool from a browser (zero foot-print). Currently we need to either install locally or connect to a server to do ETL work. Diversify ways of authenticating users. Read full review 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. Read full review Usability Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
Read full review Performance 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.
Read full review Support Rating I believe that IBM generally has one of the worst and most complex assistance systems (physical and online) that exists.
Read full review 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.
Read full review Alternatives Considered It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.
Read full review First, the wizard is easy to use making the learning curve for simple ETL tasks nice. Second, since Informatica is mature there are a good variety of connectors available. Finally, we have driven some fairly complex ETL solutions using only the cloud.
Read full review Return on Investment Reduce development time by 65% compared with hand coding. Reduces ETL process maintenance times. Better data governance for technical and non-technical people. Improve time to market for initiatives that require data integration. Read full review Cut costs on the number of staff we need for data import. Cut costs for automation that can be done for data that no longer has to be manually imported. We've saved countless dollars by eliminating duplicates in our system with this tool. Read full review ScreenShots