Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
$10
per month per user
Sigma
Score 9.2 out of 10
N/A
Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.
I'd rate Sigma to be extremely similar to Sisense except it looks not as nice. I would say that as a tool, Sigma is more user-friendly than Tableau, Power BI, Trevor, and Metabase.
I do feel that Looker is far more powerful and looks great, but I also recognize that Looker does …
Sigma computing has better pricing than the competitors. We're always looking for what is good for the price but also gives us all we need to complete our reporting. It also brings about a lot of updates that are nice to see. The embedding helps other BI tools sometimes.
Sigma is the easiest to use from a workbook developer perspective, and from a non-technical end user perspective. Everything from administration, semantic layer setup, to creating dashboards is easier in Sigma than these other tools. Developing content in Sigma is enjoyable, …
I have found that Tableau can be used to create a greater variety of custom and complex visuals, though these visuals are far more difficult to create in a quick turnaround. While Sigma may be more limited in terms of what types of visuals can be create or how customized they …
Less visually appealing. Feels like fewer pixels. Harder to make graphs and visuals. Really good integration with Snowflake and intuitive usage for custom equations and filters.
sorta in the middle. One thing that differs than Domo or power bi, is that those softwares bring in the data into the platform, instead of how sigma runs a query against our data warehouse each time a user interacts with the dashboard (there is some small caching, so not always)
Sigma is by far the best. It is easiest to learn and easiest to use on a day to day basis. I never have to wait for dashboards to load and it's very easy to understand the variables that are going into my visualizations. Best of all I can manipulate the data within Sigma …
flexibility, works really well with Snowflake, export capability, level of support, the fact that Sigma Computing is a start up and improving so quickly. Web based software
Sigma is user-friendly and target non technical users as well. Sigma focuses on native cloud integration. Sigma Computing also emphasizes collaboration, enabling multiple users to work together on the same data sets and share insights.
microstrategy is too complex and expecting data warehouse in perfect Snowflake layout, otherwise all automated joins are getting messed up. Power BI requires to do tons of complex DAX transformations for even getting simple answers and has power limitations.
Sigma beats them all in terms of ease of use and interface. Tableau is more customizable than Sigma, particularly with custom graphics. Sigma is far more feature-rich than Metabase as a basic reporting tool. Sigma makes PowerBI look like a 1980s desktop tool. Dataiku is more …
ease of implementation , easy to train the resources to get used to the tool as it has very user friendly user interface, the 14 days trial where sales and sigma technical team helped us understand the advantages and the helpline chat which is always helpful . licensing when it …
We selected Sigma computing because it fully integrates with Snowflake (the platform our data currently sits on), and with Sigma, we don't need external technical resources. We have full control over our product development.
Sigma Computing is the best at adaptability in terms of how easy it is for an organization to adopt and derive value from without being technically apt.
Sigma was chosen for three reasons. 1. Excel-like workflow. Many of our researchers have a background in excel, and the excel-like workflow Sigma offers enabled them to get up and running quickly. 2. Embeds. We can easily embed dashboards into our SAS platform 3. Price. Sigma …
The decision to move to Sigma was mainly a business decision based on cost, as the vast majority of our users are external customers of ours. Sigma is basically on par with the others for its core functionality but still falls short in pure customization options. Additionally, …
In operations we use the tool for many different topics, from factory quality systems to high level reviews. We have created kind of an internal "App Store" based on Power BI where you have a lot of different dashboards for different solutions (cost, cash, health and safety, sales, factories, distribution centers...) and you as an user just need to get in that "App Store" and enter in whatever tool can be useful for you. It is open to all the operations employees and can use on demand. Also it has raised the imagination of our colleagues, as they are not only working by themselves creating new reports, but also raising fantastic ideas that can be extended for the usage of all the community.
If we have very huge data that has to be filtered based on the selection in the workbook filters, then passing the control IDs of the filters as the parameters directly in the SQL query is a great help. This way helps us in optimizing large SQL queries as well. If we want our front end application filters with the Sigma Computing dashboard filters to communicate with each other, we can certainly do that in embedding with the help of the control_ids.
The desktop app is great but needs a lot of performance improvements
No MacOS Version for the Desktop app, this is a big limitation for business since executives prefer Macs
Premium Cloud Version of Power BI is awfully expensive
On-Premise Version of the Power BI Reports Server is bundled only with SQL Server Enterprise License and cannot be purchased separately and requires Software Assurance Subscription
On-Premise Power BI Report Server doesn't support ADFS, AzureAD or any Claims-Based authentication platform, a sad disadvantage for enterprises
Viewer level license is quite limited. These users can't download data or even add filters on datasets. Something to keep in mind.
Directly querying the underlying data warehouse will lead to increased usage. Not a big deal on something like Redshift, but your Snowflake consumption will increase, potentially by a lot.
Sigma has helped us a lot and has become an integral part of our daily workflow. It would be difficult to switch to another platform and have to rebuild the numerous metrics and performance reports that we have already established
At this point, I think we all know who has taken the lead in the business intelligence and analytics market worldwide. With fresh new updates every other day on top of an already robustly built product with all features that one can dream of is a no brainer, I feel. Microsoft will invariably be synonymous with quality and professionalism.
It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
I can't really speak to the support overall, [but] I will say that in the almost three years I have used the system, I have only needed to contact their support team once. I think the team was helpful, but it did take some time for us to resolve the issues/ request that they had. I guess the good news is that the system is pretty stable, and I personally have rarely needed to contact their technical support team.
Support team is helpful in answering questions and providing help with using the UI. There are knowledgeable people within the support team. There are also good online support tools. There are significant community support resources available. There is however lack of a live support. It would be useful to have live phone number or chat to use.
[Microsoft] Power BI is practical and effective, like a hammer for a nail, it is easy to use and produces very quickly the results that in most cases are urgently required by clients (nice reports to share on the web). To start using [Microsoft] Power BI you need a business email address, with that you create an account in Power BI Service and in less than 1 hour you will have installed Power BI Desktop, a report will have been created and it will have been published on the web .
Sigma is by far the best. It is easiest to learn and easiest to use on a day to day basis. I never have to wait for dashboards to load and it's very easy to understand the variables that are going into my visualizations. Best of all I can manipulate the data within Sigma very easily. In these other platforms data manipulation is difficult or must be done in the data warehouse
Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.