Likelihood to Recommend Well suited: 1. We use the tool for data modeling as it helps in predictive data analysis for complex data, which is very much in line with real-life scenarios. 2. Options of customizing & scheduling reports as per our requirements basis. 3. Has a mobile application that works seamlessly. Less Appropriate: 1. API integration with minimal options is not up to the mark. Laptops get overheated when using the tool, from moderate to heavy use. 2. Also, there is a lag in the tool times. 3. There is a lot of scope to improve customer support & it's not up to industry standards. 4. Licensing & Maintenance can go from cheap to expensive depending on the scope.
Read full review It's easy to create virtual environments and install packages for different projects as we may need project-specific packages for doing our experiments, also it's easy to see what changes we have made and create pull requests faster. But sometimes we want some light python editor like Jupiter notebook as PyCharm is relatively heavier, also Jupiter notebooks are a good option when we need to run remote code on local machines.
Read full review Pros It provides statistical analysis and predictive modeling which helps to forecast sales trends based on data and other factors. It provides user friendly interface which helps users to explore data without extensive IT support. Like sales and marketing teams can use self service BI to analyze customer data and personalize campaigns for marketing. It integrates well with IBM products and also with third party which enables organization to integrate with different products for better results and growth. It provides security and governance features which maintains confidentiality, and compliance of data. It impose HIPAA compliance by providing role based access and encryption to protect sensitive data. Read full review Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands. Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly. Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless. Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files. Read full review Cons Uses a lot of the CPU of PC and can be only item running on computer sometimes The error descriptions could be worded differently to help users find out what is exactly wrong with the report they are trying to write Missing third party integration functionality that works succinctly Read full review The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities. Read full review Likelihood to Renew For an existing solution, renewing licenses does provide a good return on investment. Additionally, while rolling out scorecards and dashboards with little adhoc capabilities, to end users, cognos is very easily scalable. It also allows to create a solution that has a mix of OLAP and relational data-sources, which is a limitation with other tools. Synchronizing with existing security setup is easy too.
Read full review It's perfect for our needs, cuts development time, is really helpful for newbies to understand projects structure
Read full review Usability We have a strong user base (3500 users) that are highly utilizing this tool. Basic users are able to consume content within the applied security model. We have a set of advanced users that really push the limits of Cognos with Report and Query Studio. These users have created a lot of personal content and stored it in 'My Reports'. Users enjoy this flexibility.
Read full review Reliability and Availability Reports can typically be viewed through any browser that can access the server, so the availability is ultimately up to what the company utilizing it is comfortable with allowing, though report development tends to be more picky about browsers and settings as mentioned above. It also has an optional iPad app and general mobile browsing support, but dashboards lack the mobile compatibility. What keeps it from getting a higher score is the desktop tools that are vital to the development process. The compatibility with only Windows when the server has a wide range of compatibility can be a real sore point for a company that outfits its employees exclusively with Mac or Linux machines. Of course, if they are planning on outsourcing the development anyways, it's a rather moot point
Read full review Performance Overall no major complaints but it doesn't handle DMR (Dimensionally Modeled for Relational) very well. DMR modelling is a capability that IBM Cognos Framework Manager provides allowing you to specify dimensional information for relational metadata and allows for OLAP-style queries. However, the capability is not very efficient and, for example, if I'm using only 2 columns on a 20-column model, the software is not smart enough to exclude 18 columns and the query side gets progressively larger and larger until it's effectively unusable.
Read full review Support Rating Why is their web application not working as fast as you think it should? They never know, and it is always a a bunch of shots in the dark to find out. Trying to download software from them is like trying to find a book at the library before computers were invented.
Read full review I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
Read full review In-Person Training Onsite training provided by IBM Cognos was effective and as expected. They did not perform training with our data which was a bit difficult for our end-users.
Read full review Online Training The online courses they offer are thorough and presented in such a way that someone who isn't already familiar with the general design methodologies used in this field will be capable of making a good design. The training environments are provided as a fully self contained virtual machine with everything needed already to create the environments. We've had some persisting issues with the environments becoming unavailable, but support has been responsive when these issues arise and straightening them out for us
Read full review Implementation Rating Make sure that any custom tables that you have, are built into your metadata packages. You can still access them via SQL queries in Cognos, but it is much easier to have them as a part of the available metadata packages.
Read full review Alternatives Considered I like the cloud native character and ease of deployment with
Sigma and ThogthSpot, I also like the metadata modelling capabilities of Power BI. I prefer the ability of Cognos to create and publish a metadata model that provides both ad hoc access and managed reporting and everything in between
Read full review PyCharm is the best IDE for python development. PyCharm offers various features: source code completion, support for unit testing, integration with Docker/GitLab/Git, ability to manage and configure virtual environments, auto-indentation, and re-factoring code with ease. Support for JSON/Shell scripts and support for Flask/Django Other tools are effective for creating isolated scripts but not for handling projects with more than two scripts.
Read full review Scalability The Cognos architecture is well suited for scalability. However, the architecture must be designed with scalability in mind from day one of the implementation. We recently upgraded from 10.1 to 10.2.1 and took the opportunity to revamp our architecture. It is now poised for future growth and scalability.
Read full review Return on Investment I've rebuilt a few metadata models to make the associated reports run at around a fifth of the time. I was able to write and sell an IBM Cognos Analytics with Watson extension pack to add additional functionality and to make report author's lives easier. Read full review Buying the licensed pro version is a bit costly, but overall because of its features and its speed, the time taken by a developer to develop something can be improved. Indirectly getting a good return of Investment. Considering the team size and its features, one can go for the licensed version as the ROI is high. Customer support is also good for a licensed version, thereby saving the time, which in turn shows ROI as high. Read full review ScreenShots