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Perfect for building white label reports embedded in SaaS applications
What do you like best about the product?
The most useful part about Cube is its ability to serve as a layer between the database and the application. Caching, data aggregation, and query generation have greatly decreased time-to-value for reporting features and enhanced the performance of the application for users.
What do you dislike about the product?
We have some edge cases with sparse matrices that have proved a little challenging (not really an issue with the software itself; I expect we'd have similar issues with any solution).
What problems is the product solving and how is that benefiting you?
Cube has helped us reduce the time to value as we deliver embedded reports within our SaaS application. The caching and pre-aggregation features have allowed us to summarize huge results sets as we help users of our application understand the data they generate.
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Cube.dev: where data modeling done right and software engineering best practices meet together
What do you like best about the product?
Cube.dev approach to data modeling is powerful and very flexible.
Cube Cloud deployments make it easier to test your data models with a CI/CD approach.
Cube Cloud deployments make it easier to test your data models with a CI/CD approach.
What do you dislike about the product?
Pre aggregations are powerful, but in case of errors or issues, it might be hard to understand what the root cause is.
Better error messages and alerting would be a great improvement.
Better error messages and alerting would be a great improvement.
What problems is the product solving and how is that benefiting you?
Cube.dev has made easier to define a common view of our data, that we can use to serve both internal BI use cases and customer facing analytics applications as well.
A polyvalent and effective semantic layer
What do you like best about the product?
A complete semantic solution with a rich syntax, caching, access controls and suite of APIs. Easy to set up, flexible and scalable.
What do you dislike about the product?
Pre-aggregations has sometimes been hard to work with, having partitions not refreshing correctly. But that has only been the exception, not the rule.
What problems is the product solving and how is that benefiting you?
As data warehouses are now enabling many data usages, it's important to have a common semantic layer that uniformely describes your data, enforce relationships between tables and define metrics. No matter how users interact with that data warehouse (BI tools, data apps, notebooks, embedded analytics, etc.), they can expect identical results when asking the same questions.
Build your BI lighting fast
What do you like best about the product?
It's preatty easy to inject custom security, plus the definition of the cubes is very intuitive. Sometimes it may get hard having in result the query you actually need, but tuning the cubes so far it was always possible to instrument it returning the needed query.
What do you dislike about the product?
Although pre aggregation is a very good feature, sometimes I feel like it is a bit demanding. You may get a lot of noise in logs / dwh once you set up a few of them.
What problems is the product solving and how is that benefiting you?
Leveraging an abstraction layer on top of the data storage, plus a set of tools that ease the retrieval of such data across the components of the platform. Compared to the former vendor we used to have in the past, achieving the functionality we need is easier and the performance are better.
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