Domo and Amazon QuickSight compete in the business intelligence and data analytics sector. Domo might have a slight advantage with its comprehensive suite of features aimed at non-tech users, although Amazon QuickSight's AWS integration attracts AWS-centric businesses.
Features: Domo offers comprehensive ETL capabilities, real-time data transformation, and extensive data connectors, appealing to non-tech users. Its "cards" feature enhances data visualization, simplifying insights for diverse organizations. Users appreciate its Magic ETL processes for seamless data manipulation without deep technical knowledge. Amazon QuickSight integrates efficiently with AWS services, supporting fast visualization creation and machine learning insights, serving AWS-centric businesses.
Room for Improvement: Domo users call for better visualization tools, more intuitive interfaces, and improved complex data integration management. They also seek enhanced real-time reporting features and data source flexibility. Amazon QuickSight faces criticism for limited visualization options compared to rivals like Tableau and Power BI. Users want more data governance integration, broader visuals, and diverse data handling capabilities.
Ease of Deployment and Customer Service: Domo is versatile in deployment, suitable for on-premises, private, and hybrid cloud environments. Its technical support has mixed reviews, with noted inconsistencies in communication. Amazon QuickSight focuses on public cloud deployments within AWS ecosystems, ensuring seamless AWS service integration. Its customer service responds quickly, but resolving complex issues can be challenging.
Pricing and ROI: Domo is seen as a premium product with flexible licensing, viewed as high-cost, particularly for smaller businesses. It offers strong ROI through efficient data handling, making it favorable for end-to-end BI solutions. Amazon QuickSight is known for a more cost-effective model, especially beneficial for AWS users, with a pay-as-you-go structure and minimal upfront costs. Its pricing and AWS integration benefits appeal to AWS customers seeking budget-friendly analytics solutions.
I would say out of all the support experience I've had, only 5% took quite a long time to respond to the support message.
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.
Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.
For example, making automation for filling missing data or reformatting incorrect data formats, and making date corrections.
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.
It is not expensive, but it is also not cheap.
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.
The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
You can measure the progress of sales, and you can measure the weakness or lowest activity of sales in some areas and determine how to improve it.
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 (%) |
|---|---|
| Amazon QuickSight | 4.9% |
| Domo | 3.9% |
| Other | 91.2% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 10 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 11 |
| Large Enterprise | 19 |
Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. Using our cloud-based service you can easily connect to your data, perform advanced analysis, and create stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.
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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