Find out what your peers are saying about Microsoft, Salesforce, Amazon Web Services (AWS) and others in BI (Business Intelligence) Tools.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
Tableau is saving me time, money, and resources, which I would rate as ten.
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.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite 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.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
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.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
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.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
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.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
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.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
Product | Market Share (%) |
---|---|
Tableau Enterprise | 10.3% |
Domo | 3.9% |
Salesforce Einstein Analytics | 1.0% |
Other | 84.8% |
Company Size | Count |
---|---|
Small Business | 14 |
Midsize Enterprise | 11 |
Large Enterprise | 19 |
Company Size | Count |
---|---|
Small Business | 7 |
Midsize Enterprise | 4 |
Large Enterprise | 12 |
Company Size | Count |
---|---|
Small Business | 117 |
Midsize Enterprise | 66 |
Large Enterprise | 182 |
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.
Find more information on The Business Cloud Here.
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:
Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.
Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.
What are the most valuable features?Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.