Power BI for Office 365 allowed users to model and analyze data, and query large datasets with complex natural language queries. It has been discontinued in favor of other editions of Power BI going forward.
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Sigma
Score 9.1 out of 10
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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.
Microsoft Power BI is similar to Excel, but it is much better to display data and / or values in tables, charts, and is much easier to use and configure. It is used weekly in the financial sector where there are meetings with the leaders to evaluate all types of costs. We …
One main competitor of Power BI is Tableau. Tableau has been around longer than Power BI so it can feel a little more refined in areas, however Power BI is catching up quickly. Tableau can be more expensive than Power BI. If you want more features and more refinement, and don't …
Not directly comparable, but we used Telerik previously to create visualisations and our own dashboards, which worked and looked nice but required much more setup to get running as it needed a web server to display the dashboards via HTML. Otherwise, we just used SQL SSIS to …
Oracle was nice, super expensive to implement if it's not in use already. JobDiva is choppy and heavy on the system while does not give great reports. Salesforce is good; remote access is good however their support is terrible.
When you look at the whole MS BI stack, it is far and away the best solution. But if you are solely looking at PowerBI.com (Power BI for Office 365), it's features are limited to creating graphs and visualizations. For example, you create cubes and data models in Cognos, but …
Tableau and Qlikview are both faster and have easier many-to-many relationships. However, for the average user, Power BI is much easier as a true Self-service BI. Besides, the cost for Power BI is lower.
Pricing and functionality. Tableau Desktop is a very capable self-service business intelligence and analytics solution. The very rich visualization capabilities are far superior to that of Excel and Power BI. However, the pricing for the Power BI desktop is extraordinary. If …
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
If you want to create a visual dashboard or report that utilises various data sources then PowerBI can do this. It is great in that it takes your on-premises data and stores it on Microsoft servers where it can interact with it faster, reducing load on your own servers, while being efficient in what it transfers out. We have found it not well suited if you wanted to publish a simple report to many staff as they may all need a Pro license which can get expensive. Even if embedding the report onto a shared platform like SharePoint, it will not display if the users doesn't have a PowerBI Pro license.
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
Ease of use. Most people have experience working with Excel. If you know how to create pivots, you can use Power BI.
Data extraction and transformation (ETL). ETL is a joy with Power Query. It is intuitive, simple and a magical experience to transform poor data into something useful.
Visuals. Power BI is beautiful to behold, especially Power View.
Maps. The interactive maps are great built-in tools.
Cost You cannot find anything cheaper than Power BI, unless you want to give it to every user in your company.
Like many Microsoft products, you can get by with a small understanding of the product, but to truly realize the entire potential does take a while to learn.
Hooking up SQL databases to the cloud version is a more complex than just querying right into the database from the desktop version.
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.
If I were a small business owner, I would likely use Power BI for Office 365 for the sheer fact that I would get the Office licensing I need, along with powerful capabilities. As a Microsoft Partner, we continue to see Microsoft invest heavily in the Power BI capabilities, and will continue to implement and support BI solutions around this product, as we believe this is in the best interest of our clients.
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
We are satisfied with the functionality and capabilities of Power BI. Product is cost effective and full-fill the reporting requirements of the organization. You can perform most of the report level complex analysis with the help of DAX which makes Power BI very powerful analytic tool. Power BI for Office 365 has gone away and Power BI is the next evolution of it. Power BI comes with your Office 365 E5 subscription or you can purchase licensing for it separately.
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.
as of now there is strong community for Power BI, you can get solution for most of your problems from there. Also you can send your error to Microsoft as well. After every 15 days they release updates to overcome all the issues of defects.
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.
One main competitor of Power BI is Tableau. Tableau has been around longer than Power BI so it can feel a little more refined in areas, however Power BI is catching up quickly. Tableau can be more expensive than Power BI. If you want more features and more refinement, and don't mind extra cost, then Tableau may be a better choice. But if you want something that's integrated with many things in O365, and are satisfied with fewer bells and whistles, Power BI may be the better option.
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.
As a Microsoft Partner implementing Business Intelligence solutions, Power BI has removed the barrier for our clients to begin the "BI journey". So often, projects get hung up in that early phase of procuring and installing/configuring expensive hardware and software. Just simply getting started and designing a beginning solution has allowed our clients to see results in 1-2 weeks using their data that might have taken months to achieve otherwise.
One significant ROI example is process improvement. In many cases, individuals or teams are spending days each month gathering data from multiple sources for reporting to their constituents. We are reducing these times to minutes by automating many of the data collection and integration processes that were previously manual.
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.