Trifacta is a "data wrangling" (or data preparation) platform particularly of use with Hadoop, developed by the company Trifacta headquartered in San Francisco, California. Alteryx announced their acquisition of Trifacta in January of 2022.
$100
per month per user
IBM Cognos Analytics
Score 7.9 out of 10
N/A
IBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.
$10
per month per user
Pricing
Alteryx Designer Cloud
IBM Cognos Analytics
Editions & Modules
Starter
$100
per month per user
Professional
$500
per month per user
Enterprise
Custom
On Demand - Standard
$10.00
per month per user
On Demand - Standard
$10.60
per month per user
On Demand - Premium
$42.40
per month per user
Offerings
Pricing Offerings
Alteryx Designer Cloud
IBM Cognos Analytics
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Starter & Professional plans include a charge of + $0.60 / vCPU hour. 20% discount for annual pricing.
For doing ETL and data transformations where your data is already in a cloud environment Alteryx Designer Cloud is ideal. It allows for the continued democratisation of data and analytics to permeate more extensively throughout a business, particularly those that are already in the cloud or have cloud services in place and are comfortable with procurement and consumption of these systems over and above desktop software. The ETL processing for data validation and wrangling uses machine learning to enable highly efficient data manipulation which saves lots of time and this is a distinct advantage over the desktop software. The expansion and integration of other Alteryx cloud services such as ML, Metrics Store and App builder will only strengthen this position
With the help of IBM Cognos, the sales division can analyze sales performance, sales trends in top-performing areas, etc. It also helps in financial planning, like forecasting, budgeting, reporting, and variance analysis. It also helps increase supply chain performance by analyzing it. It should be easy to use for small-scale data analysis. MS Excel is very useful for small-scale data analysis.
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.
I feel like the usability works for every level of computer user. There are very simple tools that can accomplish a huge amount of time savings, and there are very complex tools that can give you even more. We mainly use just the simple tools in our company and have gained an incredible amount of time savings
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.
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
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.
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.
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.
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
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.
Our IT group presented Trifacta to me. They picked it out and among the crowd for me. This was way beyond ETL tools, SQL, or any programming language. It's just much faster and because it's sitting on Hadoop you bypass some of the slowdowns typically faced with RDBMS.
Cognos Analytics provides wide range for reporting, data visualization, and self service analytics. Cognos has strong security and governance features. Sigma Computing is purely cloud native approach and has spreadsheet like interface and doesn't provide many customization options for reporting and dashboards. Cognos can smoothly integrate with IBM products and other third party data sources whereas Sigma Computing provides integration with cloud data warehouses and data lakes
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.
