Domo and Salesforce Einstein Analytics are both powerful BI tools competing in the analytics space. Domo appears to have the upper hand in user simplicity and extensive data connectivity, while Salesforce Einstein Analytics excels in advanced AI-driven analytics.
Features: Domo provides expansive data connectivity, making it easy for non-technical users to interact with the data. Its Magic ETL enables agile data manipulation, and customizable connectors facilitate diverse data integrations. Meanwhile, Salesforce Einstein Analytics offers robust analytics with superior AI integration for predictive insights, advanced visualization tools, and native cloud deployment for seamless user experiences.
Room for Improvement: Domo could benefit from enhanced visualization simplicity and better integration for multi-source data. Users also suggest broader customization options in its ETL tools. Salesforce Einstein Analytics could improve in user guidance for non-technical users and cost efficiency, as well as in adapting to regional needs for greater usability.
Ease of Deployment and Customer Service: Domo offers multiple deployment options, adding flexibility across environments, but user reviews on customer support are mixed, citing occasional delays. Salesforce Einstein Analytics, being cloud-based, allows for easy deployment though support quality varies, sometimes impacting the user experience.
Pricing and ROI: Domo's pricing is seen as high but justified by its rich features, despite being less affordable for smaller companies. Enterprises find a good return through efficiency improvements. Salesforce Einstein Analytics, also costly, provides valuable comprehensive features and streamlined operations, with the potential for enterprises to negotiate pricing for maximum benefits.
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.
Tech support for Salesforce Einstein Analytics is generally 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.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline.
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.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline.
There is a learning curve associated with Salesforce Einstein Analytics, particularly since users need to learn a new language.
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.
A benefit is that the pricing is available online, ensuring there are no hidden costs.
In general, I would rate it as a little bit on the expensive side compared to other available options.
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.
It allows for a personalized customer experience by providing insights.
Their machine learning model, which they have integrated, provides us with accurate data and creates projection maps.
Product | Market Share (%) |
---|---|
Domo | 3.9% |
Salesforce Einstein Analytics | 1.0% |
Other | 95.1% |
Company Size | Count |
---|---|
Small Business | 16 |
Midsize Enterprise | 11 |
Large Enterprise | 20 |
Company Size | Count |
---|---|
Small Business | 7 |
Midsize Enterprise | 4 |
Large Enterprise | 12 |
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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Salesforce Einstein Analytics is a customer and business analytics platform that’s optimized for mobile use and brings flexible customer analytics to everyone in the company. It works with many types of data, from many data sources, and it can change the way your company answers critical questions. Einstein Analytics allows you to:
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