Generated from real user reviews
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Simon H.
Mid-Market (51-1000 emp.)
5.0/5
"Extremely Easy Self-Service Analytics That Looks Great for Stakeholders"
What do you like about Steep?
Extremely easy to use self-service that looks great for business stakeholders. Centers the data culture around Governed Metrics rather than Dashboard
Isak B.
Mid-Market (51-1000 emp.)
5.0/5
"Simple Yet Powerful Tool"
What do you like about Steep?
The simplicity of the tool and still how powerful it is
See Related User Reviews
Simon H.
Mid-Market (51-1000 emp.)
5.0/5
"Extremely Easy Self-Service Analytics That Looks Great for Stakeholders"
What do you like about Steep?
Extremely easy to use self-service that looks great for business stakeholders. Centers the data culture around Governed Metrics rather than Dashboard
Guilherme D.
Mid-Market (51-1000 emp.)
4.0/5
"Easy to Use, Mobile-Friendly, Metrics-First"
What do you like about Steep?
How easy it is to use, the fact that it is available on mobile platforms as well, and its metrics-first approach.
See Related User Reviews
Rasmus H.
Mid-Market (51-1000 emp.)
5.0/5
"Powerful and simple to use"
What do you like about Steep?
Powerful, yet still simple to use. The graphs and reports are beautiful and easy to comprehend.
See Related User Reviews
Rasmus H.
Mid-Market (51-1000 emp.)
5.0/5
"Powerful and simple to use"
What do you like about Steep?
Powerful, yet still simple to use. The graphs and reports are beautiful and easy to comprehend.
See Related User Reviews
Guilherme D.
Mid-Market (51-1000 emp.)
4.0/5
"Easy to Use, Mobile-Friendly, Metrics-First"
What do you like about Steep?
How easy it is to use, the fact that it is available on mobile platforms as well, and its metrics-first approach.
See Related User Reviews
Simon H.
Mid-Market (51-1000 emp.)
5.0/5
"Extremely Easy Self-Service Analytics That Looks Great for Stakeholders"
What do you dislike about Steep?
If you don't have a well-governed data and metrics layer, it will not be a good experience. It's still lacking some enterprise features to enable mor
Isak B.
Mid-Market (51-1000 emp.)
5.0/5
"Simple Yet Powerful Tool"
What do you dislike about Steep?
There are things missing when using the dbt semantic layer which is present in Steep semantic layer. For example working with entities and cohorts
See Related User Reviews
Simon H.
Mid-Market (51-1000 emp.)
5.0/5
"Extremely Easy Self-Service Analytics That Looks Great for Stakeholders"
What do you dislike about Steep?
If you don't have a well-governed data and metrics layer, it will not be a good experience. It's still lacking some enterprise features to enable mor
See Related User Reviews
Rasmus H.
Mid-Market (51-1000 emp.)
5.0/5
"Powerful and simple to use"
What do you dislike about Steep?
Some details are missing in filters. For example NOT x, or numerical filtering (less than X). Would wish for more table-style output options ("give me
See Related User Reviews
Guilherme D.
Mid-Market (51-1000 emp.)
4.0/5
"Easy to Use, Mobile-Friendly, Metrics-First"
What do you dislike about Steep?
It could be more customizable and it will not be the ideal tool for more advanced use cases
See Related User Reviews
Rasmus H.
Mid-Market (51-1000 emp.)
5.0/5
"Powerful and simple to use"
What do you dislike about Steep?
Some details are missing in filters. For example NOT x, or numerical filtering (less than X). Would wish for more table-style output options ("give me
After using the product, this reviewer finds the UI very user-friendly and appreciates the continuous delivery of new features. The product is still in development, which may limit some capabilities.
View Full ReviewExtremely easy to use self-service that looks great for business stakeholders.
Centers the data culture around Governed Metrics rather than Dashboards.
Very easy to setup and maintain for the analytics team.
Per-metric CTE query structure makes it easy to create derived metrics across multiple datasets. Review collected by and hosted on G2.com.
If you don't have a well-governed data and metrics layer, it will not be a good experience.
It's still lacking some enterprise features to enable more granular access controls. Review collected by and hosted on G2.com.
I find Steep very easy for everyone to see the data, with its very beautiful tool look and feel that I like the most. The simple user interface makes it easy to build and create reports, which I find valuable. Review collected by and hosted on G2.com.
It's very basic, you can't do anything advanced like calculating things or viewing large amounts of data. The API is basic, and it's very locked, mostly a tool for simple use. It can't integrate with other tools. Review collected by and hosted on G2.com.
Powerful, yet still simple to use. The graphs and reports are beautiful and easy to comprehend. Review collected by and hosted on G2.com.
Some details are missing in filters. For example NOT x, or numerical filtering (less than X). Would wish for more table-style output options ("give me all orders from March" type questions). Review collected by and hosted on G2.com.
easy to use, simple, quick, like the fact now that we can share with customers Review collected by and hosted on G2.com.
could be a company setup, but sometimes its to many choices to make- sometimes this is key, sometimes when you dont know exactly how to find a kpi or data point you know its many choices. would be nice with an AI assistant to tell what you want to see, then get in writing exactly what data the graph or table its based on Review collected by and hosted on G2.com.
How easy it is to use, the fact that it is available on mobile platforms as well, and its metrics-first approach. Review collected by and hosted on G2.com.
It could be more customizable and it will not be the ideal tool for more advanced use cases Review collected by and hosted on G2.com.
The simplicity of the tool and still how powerful it is Review collected by and hosted on G2.com.
There are things missing when using the dbt semantic layer which is present in Steep semantic layer. For example working with entities and cohorts Review collected by and hosted on G2.com.
