Likelihood to Recommend I believe that companies that record large amounts of data about their product, service employers KPIs, etc, can make the best out of Domo for reporting and data analysis, but if a company handles little data and is not recording this consistently, it will not be of much use.
Read full review 1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
Read full review Pros Exceptional Transform area of the platform - any/all raw data can be manipulated and combined to create datasources that are very useful for our departments. Visualization layer is clean and is very business presentable. Its simple but includes depth. Visuals can be created/used by all roles throughout our firm, its not limited to analysts. Ability to communicate and talk about insights in the data - the communication tool is exceptional. I can @ mention specific users to bring attention to a discovery. I can start a private chat. I can annotate and communicate what I am seeing. I love it. Mobile experience is excellent. When I am on the road i can actively monitor and engage with my team due to my Domo dashboard on my mobile device. Its amazing to run the business and not worry while away from the office. Read full review Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems. Great documentation and customer support. It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it. Read full review Cons Copying Reports - In Excel or Google Sheets, I like to make copies of similar reports and modify them as necessary for users. In Domo, makes copies of reports (called cards) but all copies are connected. So if you adjust the copy, it changes the original. This means a user has to recreate the report from scratch and then adjust it. Unforgiving SQL - Domo does allow users to write their own SQL codes, which is great. However, Domo's SQL code is pickier than the other SQL database I've used (Metabase). Text Alerts - Domo's alerts aren't always the smartest. Some of my dashboards are about the sales teams monthly performance and I get notified when there is a change of more than 20%. I always get notified at the start of the month that reports have changed from 'x' number to zero. This is expected because it's a monthly report and I hate getting texts about it. The only reason I don't term them off so I can be aware if something breaks in the middle of the month. Read full review There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting). The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping. There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target. Read full review Likelihood to Renew Domo is a great up-and-coming product. There are many fantastic features that are extremely compelling to our end users, which makes Domo a great fit for our organization. As with many BI tools, there are items on the wish list that could make implementation, administration and usage easier, but I believe these will be addressed over time as the product matures and evolves. The overall concept and approach of this solution has definitely raised the bar in this area of expertise and I would like to see things advance in giving the enterprise tools that will make decision making easier and more robust in the future.
Read full review Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
Read full review Usability The built-in user support and intuitive design of Domo makes it simple to learn and use. I find I can spend hours drilling deep, or else quickly gain an overview in just a few minutes. This is a great advantage since the flexibility fits well with the demands of my role. I enjoy using Domo since I know it will give me comparative data across almost every variable I might want to explore - I look forward to it!
Read full review Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
Gurcan Orhan Data Quality Management Software Development Manager
Read full review Performance PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
Read full review Support Rating Pretty responsive. It took a while to get a response in selecting data points for our particular cards. Might have taken about a month? I am not sure if this was something on our end or Domo's end. But haven't had any other issues yet that required additional support from Domo.
Read full review Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
Read full review Implementation Rating It is a true web-based application so implementation is much easier and smoother compared to other non-web based BI solutions. Also, they offered consulting services during the implementation process, which was helpful. Also, they provided lots of on-demand training courses and videos, which I liked.
Read full review Alternatives Considered At the end of the day, end-user adoption and taking the burden of IT to build reports was my goal. Demoing and testing many BI tools, DOMO is the one that allowed both to happen.
Read full review While
Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves
Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then
Talend would be the preferred tool.
Read full review Return on Investment I mentioned a "previously un-analyzable" dataset that we were able to visualize in Domo - the result was business re-alignment for increased productivity, cost savings and ROI. It's tough to quantify the ability to provide insights that have been desired for years but not possible - we continue to amaze our executives and product managers with the analysis we can provide. Read full review The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed. PowerCenter did require more resources and time for installation and configuration than was expected/planned for. The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows. Read full review ScreenShots