Domo and Microsoft Power BI are competing in the business analytics platform category. Power BI appears to have the upper hand due to its comprehensive analytical capabilities and seamless integration with Microsoft products.
Features: Domo is known for its ease of use and data integration, offering a wide array of data connectors and pre-built reports for fast implementation. It is accessible for non-tech users, making it perfect for companies with varied tech skills. Power BI provides robust data visualization tools, advanced analytical capabilities, and seamless integration with Microsoft products, making it ideal for building complex reports and datasets.
Room for Improvement: Domo faces challenges with slow data rendering, limited customization, and restrictive visualization options, especially with high data volumes. Users suggest enhancements in collaboration features. Power BI needs improvements in handling large datasets and a more intuitive user interface. Users also seek better real-time data processing and advanced graphical options. Both platforms could benefit from improved support and broader third-party integration.
Ease of Deployment and Customer Service: Domo predominantly operates in the cloud, which offers flexible deployment. However, customer service reviews are mixed, with some praising the support team and others highlighting inconsistencies in technical assistance. Power BI, available on cloud and on-premises, offers versatile deployment options but often challenges users during initial setup, requiring more comprehensive documentation. Microsoft’s community support is extensive, although there's a need for more responsive direct support.
Pricing and ROI: Domo is often viewed as expensive, justified by its ease of use and rapid user adoption, leading to high satisfaction in ROI through reduced manpower and improved decision-making. Power BI is generally cost-effective, especially for organizations using Microsoft products. It features competitive pricing with its subscription model, though premium features can be costly. Users appreciate its value for money, citing comprehensive capabilities and frequent updates as contributing positively to ROI.
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.
They were quite professional and in around three to five working days, they had identified where they suspected there was an issue and I was able to fix it.
While they eventually provide the correct answers, their support for smaller customers could be improved.
The main benefits of using Domo are that the support is good, and comparing it with other BI tools, it has specific specialties.
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.
The fact that you're able to easily identify the pipelines or flows that have errors, and it notifies you when you're building a pipeline where you can run previews and tell where to fix issues, is helpful.
Sigma, which is written for Snowflake, scales more easily than Domo.
The response time is longer than desired, but sometimes they provide the correct solution while other times they don't provide the needed scenarios.
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.
In recent years, I haven't had such cases. It's quite stable and I don't have any reservations on its stability.
The setup of Domo is challenging as the cache and serialization part still causes errors; since it's fully cloud-based, they need to improve the connectivity part.
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.
End users require a license to run their own reports and dashboards, which are fairly expensive.
Some technical aspects such as Beast Mode calculation could be improved in Domo, as it would provide more clarity and help in giving insights to clients or customer business team requirements.
One of the areas where we've had frustrations with Domo is the aesthetics. The aesthetics are quite limited compared to other BI tools such as Tableau and Power BI.
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.
Domo's pricing is high compared to other BI tools, and it is costly.
Domo is expensive compared to other solutions.
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.
App Studio is valuable because it allows all the customization we needed; we can decode it, with the view and grid which are all I need, drill-downs, and everything can be done the way I need it.
I have been using it for four years and have been able to extract the information I need from it.
The most valuable feature of Domo is the fact that you can connect multiple inputs and you don't have to have a data warehouse.
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.
Product | Market Share (%) |
---|---|
Microsoft Power BI | 14.5% |
Domo | 4.4% |
Other | 81.1% |
Company Size | Count |
---|---|
Small Business | 13 |
Midsize Enterprise | 11 |
Large Enterprise | 17 |
Company Size | Count |
---|---|
Small Business | 134 |
Midsize Enterprise | 57 |
Large Enterprise | 165 |
Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.
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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.
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