Domo and Birst are both competing in the business intelligence platform category. Based on the current analysis, Domo seems to have an advantage in terms of ease of use and integration capabilities, whereas Birst is favored for more complex data models and scalability suited for enterprise-level needs.
Features: Domo offers real-time data visualization through its robust dashboard, enhancing decision-making speed. It supports seamless teamwork with excellent collaboration tools integrated into existing applications. Birst is known for strong data governance, ensuring security and compliance. It stands out with its advanced analytics, catering to intricate data insights. Domo's simplicity and integration are highlights, while Birst focuses on powerful data management and scalability.
Room for Improvement: Domo could improve in offering more advanced data modeling capabilities to compete with the likes of Birst in handling complex data structures. Enhancements in scalability might also benefit Domo to better support larger enterprises. On the other hand, Birst needs to work on improving user-friendliness, as its complexity can be daunting for less technical users. Additionally, reducing initial configuration effort and simplifying its interface could make Birst more appealing to a broader audience.
Ease of Deployment and Customer Service: Domo’s cloud-based model assures rapid deployment with a scalable infrastructure and is praised for its responsive customer service that delivers effective solutions. Birst, with its hybrid deployment options, offers flexibility for cloud and on-premise requirements but might involve more initial configuration. Its competent service team is well-regarded for handling technical queries. Domo excels in deployment speed, whereas Birst offers adaptable solutions for complex setups.
Pricing and ROI: Domo's pricing structure aligns with its extensive features, promising high ROI for companies leveraging its analytics. Birst, despite a potentially higher cost, justifies its price with detailed analytics and scalable solutions, targeting enterprises seeking long-term benefits. Domo offers an attractive cost-benefit ratio for immediate use, while Birst is attractive to enterprises with intricate needs and a focus on long-term return.
If you're actually using Domo at a very limited case and you're being charged $20,000, we've seen ROI there, but once it goes really high, you really need to check your metrics and check your profit.
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.
It's very easy to get technical support from Domo.
Support-wise, they are good.
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.
When fetching files larger than 100 MB from SFTP or any other portal, Domo becomes slow due to the heavy file size.
Sigma, which is written for Snowflake, scales more easily than Domo.
In recent years, I haven't had such cases. It's quite stable and I don't have any reservations on its stability.
In terms of overall stability of the platform, it's very stable.
During that time, we faced issues from the project side as Domo was not visible in our portal.
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.
Domo's pricing is high compared to other BI tools, and it is costly.
For long-time users, it can become expensive, but the trade-off is access to the entire platform instead of licensing different components separately.
They quoted approximately one dollar per KB.
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.
Product | Market Share (%) |
---|---|
Domo | 9.1% |
Birst | 0.5% |
Other | 90.4% |
Company Size | Count |
---|---|
Small Business | 3 |
Midsize Enterprise | 7 |
Large Enterprise | 11 |
Company Size | Count |
---|---|
Small Business | 16 |
Midsize Enterprise | 11 |
Large Enterprise | 20 |
Birst Networked BI and Analytics eliminates information silos. Decentralized users can augment the enterprise data model virtually, as opposed to physically, without compromising data governance.
A unified semantic layer maintains common definitions and key metrics.
Birst’s two-tier architecture aligns back-end sources with line-of-business or local data. Birst’s Automated Data Refinement extracts data from any source into a unified semantic layer. Users are enabled with self-service analytics through executive dashboards, reporting, visual discovery, mobile tools, and predictive analytics. Birst Open Client Interface also offers integration with Tableau, Excel and R.
Birst goes to market in two primary ways: as a direct sale, for enterprises using Birst on internal data to manage their business; and embedded, for companies who offer analytic products, by embedding and white-labeling Birst capabilities into their products.
Birst’s is packaged in 3 available formats: Platform and per-user fee; by Department or Business Unit; by end-customer (for embedded scenarios).
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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