Apr 29, 2023
This market comparison chart....https://www.gartner.com/doc/re...;ct=230130&st=sb
Microsoft Power BI and Sigma compete in the business intelligence solutions category. Sigma is viewed as having superior features, while Power BI leads with pricing and customer service.
Features: Microsoft Power BI provides comprehensive data visualization, robust report generation, and seamless integration into other Microsoft products. Sigma is strong in powerful analytics capabilities, efficient complex data modeling, and advanced analytics features.
Ease of Deployment and Customer Service: Power BI offers straightforward deployment with strong support and resources, backed by Microsoft's service infrastructure. Sigma, though requiring more initial configuration, offers focused support for technical queries.
Pricing and ROI: Power BI is noted for its competitive pricing and high ROI for small to mid-sized enterprises. Sigma's higher setup costs are reflective of its advanced features, offering a strong ROI for larger enterprises with complex data needs.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
It's essential for everything data-related within our company.
I have seen a return on investment with Sigma; we already said that it saves about a quarter, it gets me to answers about 25% faster.
I have definitely seen a return on investment through time saving because once the dashboards are built, they are built.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
As Sigma is a cloud platform, you do not need to do all that maintenance work.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
Permissions are easily set, so you only get to see what you need to see and you can share what needs to be shared.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It is very stable for small data, but with big data, there are performance challenges.
We did not face typical errors during our project with Sigma.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
The main improvement needed is in data modeling capabilities.
Sigma lacks a versioning feature to track changes.
It would be great if there was a way for me to create reports without relying on a data analyst.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
The pricing of Sigma is a concern, as it restricts our ability to provide more users with report-creating capabilities due to the high cost of admin or report creator licenses.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
To reduce the need for highly skilled personnel, we can engage someone who is just familiar and has a basic understanding of Microsoft Power BI, while AI can handle the major tasks through either agent AI or requirement analysis.
The use of Sigma in decision-making, presentations to customers, and reporting to investors showcases its value in handling data-related tasks.
Sigma has positively affected my organization by saving us time in accessing information, which ultimately gets us to complete projects faster.
Sigma has positively impacted my organization because I think it has been a huge impact, and we use it for all our reporting and our dashboards for tracking.
| Product | Market Share (%) |
|---|---|
| Microsoft Power BI | 9.4% |
| Sigma | 1.6% |
| Other | 89.0% |
| Company Size | Count |
|---|---|
| Small Business | 135 |
| Midsize Enterprise | 57 |
| Large Enterprise | 165 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 3 |
| Large Enterprise | 2 |
Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.
Sigma is the next-generation of analytics for cloud data warehouses with a familiar spreadsheet-like interface that gives business experts the power to ask any question of their data no matter the query.
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