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.
$14
per month (billed annually) per user
Sigma
Score 8.4 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.
N/A
Pricing
Microsoft Power BI
Sigma Computing
Editions & Modules
Power BI Pro
$14
per month (billed annually) per user
Power BI Premium
$24
per month (billed annually) per user
No answers on this topic
Offerings
Pricing Offerings
Microsoft Power BI
Sigma
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Power BI Desktop is the data exploration and report authoring experience for Power BI, and is available as a free download.
Contact us for pricing.
More Pricing Information
Community Pulse
Microsoft Power BI
Sigma Computing
Considered Both Products
Microsoft Power BI
Verified User
Anonymous
Chose Microsoft Power BI
Tableau having pure visuals, we can't make custom visuals. Power BI costs around $10 per month, but Tableau costs around $30-$40 per month, so comparing with Power BI it is costly. Using Power BI is very easy for everyone (technical/non-technical), but tableau is only can …
Plotly has been used to create time-series charts that we are hosting internally. Sometimes, it hasn't been easy for us to set up a data gateway. (for security) To get an internal report, we used Plotly instead of Power BI. Plotly does require some JavaScript knowledge to …
Microsoft Power BI has more templates and the control panel for modifying data visualizations is more powerful with more choices of line charts, bar charts, maps/scatter points than Google sheets, which is limited to simple bar charts and pie charts.
All others apps are enablers and Microsoft Power BI is the visual that end user sees which often adds more value to the end user to make strategic decisions from this. All are equally great but Microsoft Power BI is the end result
Microsoft Power BI vs. Tableau Power BI cheaper and works well with Microsoft tools. Tableau has better visuals but is costly. Microsoft Power BII vs. Looker Looker is good for big data, but Microsoft Power BI is easier to use. Microsoft Power BI vs. Qlik Qlik is fast for big …
Microsoft Power BI provide a user friendly in many ways to analyse the data and visualization of the data .Stacking makes the works easier easily attach the table ,chart row and column through the various available tool ..it also reduces the work part and manpower mechanically …
Microsoft Power BI is more flexible and it requires less effort in order to create a working environment. The results have an attractive and customizable display. The model is a star schema therefore it do not require specific database adaptation. Excel and csv files could be …
Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would …
Microsoft Power BI is easier to learn, a lot of examples on YouTube, internet documentation books helps to the implementation and personalization of the dashboards easier to use than other platforms.
While excel can be useful for a very quick data dump, Microsoft Power BI is able to bring that data to life, and show trends and the actual story of what is happening. Microsoft Power BI is the ultimate display tool, and allows us to share information quickly to the CORRECT …
Compared to this tool, Microsoft Power BI doesn't involve heavy coding and provides user friendly interface to visualize data. Microsoft Power BI reports can be shared and published without exposing your source code. Also, the reports are interactive providing drill down …
Power BI is much simple to use, and more modern than BusinessObjects, which has now been discontinued. It costs much less to license than Tableau which is perhaps more niche and designed better. It is also much more powerful for data analysis than excel, smartsheet, airtable, …
Some of the strengths are 1. User-Friendliness 2. Self-Service BI (Caters to all levels of the employees 3. Cost-effective. 4. Easy integration with Microsoft Suits. 5. DAX Calculations 6. Familiar Interface like traditional Excel. 7. Easier Self-Service platform for …
It's got a larger user base and seems better supported. Personally it feels like alot more work getting comparable results from Tableau. Microsoft Power BI will be WAY easier to work with all your various data sources, if you are working in an environment with M365 already. …
After several years using Google Looker Studio and BigQuery, Microsoft Power BI is a step-up in terms of visualizations. It is also much more powerful, leading to less errors and has a more intuitive interface. Looker studio has a focus on google analytics whereas Microsoft …
NA - did not use any other software, yet. Happy with the services and features provided by Microsoft Power BI which helps us navigate through the client requests on a daily basis while also providing actionable insights / solutions with maximum efficiency and that too in a …
Each has a different function. I think Microsoft Power BI is easier to use than Tableau and cheaper but SQL and databricks have so much more versatility
I prefer Power BI because of its affordability and fewer complicated tools than Tableau. It's easy to use and compatible with other Microsoft products, which are mostly used in the IT industry. It's not limited to only one platform like Looker Studio, which is mostly used in …
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface …
Sigma Computing exclusively uses Snowflake as its data source, which enhances data security by not caching or extracting data locally. Tableau, on the other hand, allows a broader range of internal databases and files like SQL Server, Postgres, etc., and supports extracted …
maintianed is very user friendly. Its various ways of embedding helped us in various aspects. The usage of control ids of the filters as parameters helped us in optimizing very longSQL queries. The live Support team every weekday is a very great intiative that helped in quick …
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 has a better view of tables and it is much easier to create new data sets/aggregations. Tableau is better in some visual aspects because there is more customization available, albeit more confusing than Sigma to do. Sigma is very intuitive and did not take long to learn …
Sigma Computing had better functionality and is beginner friendly. While Tableau is a more well known product, Sigma Computing has a better user interface that is easier to comprehend for those without a non-technical background. This makes it easier to showcase dashboards to …
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, …
Sigma has the capabilities of the other BI tools. I think it's pretty user friendly and easy to learn. Many of our stakeholders are used to using Excel so it's nice that it is a smooth onboarding process for them. We haven't looked into much of the visualization capabilities so …
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 …
With Looker, to be effective, a substantial amount of coding & modeling needs to happen in LookML. Being another language to learn, users have to context switch again from at a minimum either SQL or Python into LookML. The concept of being able to source control, code review, …
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
Microsoft Power BI is great for sales tracking, financial reporting, and real-time operations monitoring. It integrates data from multiple sources, creating interactive dashboards for better decision-making. However, it's less ideal for real-time big data processing, offline access, or when deep customization is needed. It works best for structured reporting but struggles with highly complex data models.
Scenarios where Sigma Computing is well suited: - Data Reporting and Visualisation : It is suitable for dashboards that integrate data from multiple back-office systems - Search and Filtering Capabilities: It provides a robust platform for searching through datasets and visualisations. Scenarios where Sigma Computing is less appropriate: Handling of null values and dynamic table adjustments
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.
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
Because we are very satisfied with the product and would most likely renew because of the services it provides. It is a tool that you bring into your organization and let it change the way you analyze your data, present your data and share you date within the Respective teams
Takes a little bit to get used to it. Not natively intuitive but fairly straight forward to pick up. Also docking it a few points because you can create a really clean, simple UI in Claude very quickly that's faster than building all of this yourself in Microsoft Power BI.
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.
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
All others apps are enablers and Microsoft Power BI is the visual that end user sees which often adds more value to the end user to make strategic decisions from this. All are equally great but Microsoft Power BI is the end result
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface for smaller companies like ours without dedicated BI resources on staff.
We're still early in the adoption process at this company, but we've illustrated how bad data keeps us from being more productive. ~25% of a team's work week was dedicated to effectively cleaning up entries, but it was always seen as a normal to them.
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.