A strong all-in-one platform with some frustrating limitations.
What do you like best about the product?
What I like most about Domo is that it brings together a wide range of powerful tools such as Magic ETLs, Workflows, Data Connectors, and visualizations into a single, unified platform. This integration saves me from jumping between multiple systems and makes data management, automation, and reporting much more efficient.
I also appreciate the ease of building data pipelines visually through Magic ETL, the extensive library of connectors for integrating with external systems, and the ability to quickly create and share dashboards with stakeholders. Domo’s permissions and governance tools also help ensure that data access is controlled and auditable across teams.
Overall, Domo simplifies complex data operations and enables faster decision-making, especially for cross-functional teams that need access to real-time insights.
I also appreciate the ease of building data pipelines visually through Magic ETL, the extensive library of connectors for integrating with external systems, and the ability to quickly create and share dashboards with stakeholders. Domo’s permissions and governance tools also help ensure that data access is controlled and auditable across teams.
Overall, Domo simplifies complex data operations and enables faster decision-making, especially for cross-functional teams that need access to real-time insights.
What do you dislike about the product?
Areas for Improvement in Domo:
1. Workflows Lack Flexibility and Intuitiveness:
While Domo Workflows are functional, they are not intuitive and come with a steep learning curve. Once deployed, workflows cannot be edited, which limits agility and forces you to rebuild from scratch for even minor changes. They work best when dealing with data already inside Domo but are not as powerful or flexible as external tools like Make or n8n for broader automation needs.
2. No Semantic Layer:
The lack of a semantic layer makes it harder to standardize business logic across datasets and reports, leading to inconsistencies and increased maintenance overhead.
3. Domo AI Chat Needs Maturity:
Even with all AI readiness checks in place, the Domo AI chat still struggles to interpret queries accurately or return reliable answers. It feels underpowered compared to other AI copilots and could benefit from improved context awareness and language understanding.
4. Embedding Limitations with Domo Everywhere:
Embedding capabilities are limited. For example, it's not currently possible to embed custom apps or forms directly into our website using Domo Everywhere, which restricts how we can extend Domo into customer-facing or external platforms.
5. Limited Form Customization and Availability:
There are very few customization options for forms in Domo. Forms must be part of a workflow or custom app in order to exist, which makes quick, standalone form use cases difficult or impossible without additional development.
6. App Bugs and Filtering Issues:
There are noticeable bugs when working with Domo Apps. For instance, when copying dashboards into apps, filters often lag or fail to apply properly, leading to a frustrating and unreliable user experience within the app environment.
7. Charging Credits for Usage Reports
Domo charges credits for accessing certain usage and governance reports, which feels unreasonable. These types of reports should be included as part of the platform’s core offering, especially for a business intelligence solution. As a BI company, I expect more transparency and access to usage data without additional cost.
1. Workflows Lack Flexibility and Intuitiveness:
While Domo Workflows are functional, they are not intuitive and come with a steep learning curve. Once deployed, workflows cannot be edited, which limits agility and forces you to rebuild from scratch for even minor changes. They work best when dealing with data already inside Domo but are not as powerful or flexible as external tools like Make or n8n for broader automation needs.
2. No Semantic Layer:
The lack of a semantic layer makes it harder to standardize business logic across datasets and reports, leading to inconsistencies and increased maintenance overhead.
3. Domo AI Chat Needs Maturity:
Even with all AI readiness checks in place, the Domo AI chat still struggles to interpret queries accurately or return reliable answers. It feels underpowered compared to other AI copilots and could benefit from improved context awareness and language understanding.
4. Embedding Limitations with Domo Everywhere:
Embedding capabilities are limited. For example, it's not currently possible to embed custom apps or forms directly into our website using Domo Everywhere, which restricts how we can extend Domo into customer-facing or external platforms.
5. Limited Form Customization and Availability:
There are very few customization options for forms in Domo. Forms must be part of a workflow or custom app in order to exist, which makes quick, standalone form use cases difficult or impossible without additional development.
6. App Bugs and Filtering Issues:
There are noticeable bugs when working with Domo Apps. For instance, when copying dashboards into apps, filters often lag or fail to apply properly, leading to a frustrating and unreliable user experience within the app environment.
7. Charging Credits for Usage Reports
Domo charges credits for accessing certain usage and governance reports, which feels unreasonable. These types of reports should be included as part of the platform’s core offering, especially for a business intelligence solution. As a BI company, I expect more transparency and access to usage data without additional cost.
What problems is the product solving and how is that benefiting you?
Domo centralizes our data, automates workflows, and simplifies reporting, saving time and reducing the need for multiple tools.
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