Cube Cloud
Cube Dev, Inc.Reviews from AWS customer
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Great for AI applications and general data apps!
What do you like best about the product?
I'm using CubeJS for a lot of data apps on my company and it is really incredible for leveraging data for my applications. I also use CubeJS daily for manual analytics, like taking a look at the charts or copying some data to perform some stronger statistical analysis.
The interface simplicity of consumption for REST APIs is really powerful for integrating in any language and maintaining a standardized consumption around the tech ecosystem.
This can also be used as a "Feature Store" of some sorts, together with the preAggregations layer, for ML and AI applications, making it really really simple to roll them out.
I've already used the Customer Support and their response was really fast and the person helping me was also really proactive.
The ability to test changes to a cube or creating a cube via Git branches is **really powerful**! It really helps!
Finally, implementing cubes, measures, and also configuring dimensions is way too simple: we use it to connect to BigQuery and maintaining the semantics of metrics on CubeJS, which makes it so easy to understand data.
The interface simplicity of consumption for REST APIs is really powerful for integrating in any language and maintaining a standardized consumption around the tech ecosystem.
This can also be used as a "Feature Store" of some sorts, together with the preAggregations layer, for ML and AI applications, making it really really simple to roll them out.
I've already used the Customer Support and their response was really fast and the person helping me was also really proactive.
The ability to test changes to a cube or creating a cube via Git branches is **really powerful**! It really helps!
Finally, implementing cubes, measures, and also configuring dimensions is way too simple: we use it to connect to BigQuery and maintaining the semantics of metrics on CubeJS, which makes it so easy to understand data.
What do you dislike about the product?
I still think documentation is a bit confusing for some features.
I've faced some issues with preAggregations where some measuers were they were being summed instead of being averaged over for `avg` types. Some logic for the `rollup` timeout is a bit confusing.
Although the REST API interface doens't really need any framework, I feel that a simple SDK providing the objects for serialization would be nice to have.
Some more complex charts in the Playground would also be nice to have, together with a simple export like CSV/JSON from the Playground (I do understand that the Playground is... a Playground... but sometimes I use it as an analytics tool to fetch some informations).
I think that we also lack a propert LSP (or a type checker) for Cube on Javascript. Sometimes I makes some mistakes that are related to Cube JS syntax (use of AI on the Code Editor also makes it more prone to error). This would be really helpful. Some features can only be tested once in production (like preAggregations syntax), which makes it a bit harder to integrate.
I've faced some issues with preAggregations where some measuers were they were being summed instead of being averaged over for `avg` types. Some logic for the `rollup` timeout is a bit confusing.
Although the REST API interface doens't really need any framework, I feel that a simple SDK providing the objects for serialization would be nice to have.
Some more complex charts in the Playground would also be nice to have, together with a simple export like CSV/JSON from the Playground (I do understand that the Playground is... a Playground... but sometimes I use it as an analytics tool to fetch some informations).
I think that we also lack a propert LSP (or a type checker) for Cube on Javascript. Sometimes I makes some mistakes that are related to Cube JS syntax (use of AI on the Code Editor also makes it more prone to error). This would be really helpful. Some features can only be tested once in production (like preAggregations syntax), which makes it a bit harder to integrate.
What problems is the product solving and how is that benefiting you?
CubeJS helps me solve the issue of integrating data from multiple sources to Applications: from general software to AI-powered applications, CubeJS allows us to have low latency data fetching and only worrying with what to do with the data.
What a modern semantic layer solution should look like
What do you like best about the product?
Using CubeJS Cloud to build our semantic layer has been great! It really just takes a lot of development effort off our shoulders. This is especially great for small teams that don't have DevOps engineers available to help create and monitor a platform. The development and maintenance have been simple to maintain. Their support is also great where I could solve a build issue with a live chat in a short time. There are many features including different endpoints to consume data, which makes embedding analytics into our product straightforward.
What do you dislike about the product?
I still feel that integration with BI tools is not totally straightforward yet, some query aggregations fail and require some tweaks. I still have to test the new "Semantic Layer Sync" feature. Also, a thing that was very great about dbt metrics that I miss here in CubeJS is the ability to create a new metric based on other metrics as long as they have the same time granularity, CubeJS could find a way to implement something flexible as this as well.
What problems is the product solving and how is that benefiting you?
We use all major features: serving metrics on endpoints, embedded analytics in our product front-end, and feed BI tools.
Easy to setup analytics
What do you like best about the product?
- declarative schema definitions make it easy to built UI interfaces on top of your data
- built-in cache
- extensibility through express middlewares
- great slack community
- easy to get setup
- built-in cache
- extensibility through express middlewares
- great slack community
- easy to get setup
What do you dislike about the product?
we ran into an issue with cube cloud processes restarting too frequently which meant the entire schema needed to be reloaded on subsequent requests which took nearly 5s and triggered our latency alarms. luckily due to cube's extensibility we were able to implement a custom express middleware to trigger loading of the schema when the instance started up which worked around the problem for us.
the schema compiler is a little quirky and has too much magic which makes it a little more difficult to define schemas in typescript, but not insurmountable.
personally I don't like the online schema editor since we discourage folks from making changes outside of the version control. I wish we could have disabled this feature.
out-of-the-box scripts to scaffold out schemas would be nice. we ended up rolling our own.
cube-sql is interesting, but the lack of ability to do basic math in queries made it unusable for us.
the schema compiler is a little quirky and has too much magic which makes it a little more difficult to define schemas in typescript, but not insurmountable.
personally I don't like the online schema editor since we discourage folks from making changes outside of the version control. I wish we could have disabled this feature.
out-of-the-box scripts to scaffold out schemas would be nice. we ended up rolling our own.
cube-sql is interesting, but the lack of ability to do basic math in queries made it unusable for us.
What problems is the product solving and how is that benefiting you?
Cube makes it easy to build analytics tools on your data.
Great Data-Driven Applications
What do you like best about the product?
Cube.js has been a game-changer in my development journey, offering an incredible solution for building data-driven applications. With its intuitive data modeling capabilities, I've been able to structure data in a way that truly suits my application's needs. it handles data efficiently, ensuring that my users can explore insights seamlessly.
What do you dislike about the product?
Cube.js, like any tool with advanced capabilities, has a learning curve. Beginners may find it challenging to grasp all the concepts, especially when dealing with complex data models and SQL queries. However, Cube.js does provide documentation and tutorials to help mitigate this issue.
What problems is the product solving and how is that benefiting you?
Cube.js simplifies complex data modeling by providing a structured way to define cubes, dimensions, and measures. This makes it easier to represent and work with your data, allowing you to create meaningful analytics without getting lost in complex SQL queries or data transformations.
Totally must-have for modern data analysis systems
What do you like best about the product?
Easy to make pre-aggregations that are a game-changer in modern data analysis systems, as they are a main layer for best in class optimization. Ease of configuration and deployment was a key for me.
What do you dislike about the product?
I miss a local/system native optimization program like cloud platform panel - possibility to write preaggs and already check them before deployment, analyze queries and requests to optimize my application even more at data layer. That would be an excellent improvement for general DX (Developer Experience) as well.
What problems is the product solving and how is that benefiting you?
I'm untangling data for decision-makers in various companies. One of my customers already got an 2-3 times increased sales because they got critical data and trends right now.
Great Headless BI tool
What do you like best about the product?
Cube cloud allows to add data-model from various Databases, allows robust security context and SQL, REST, GraphQL API.
What do you dislike about the product?
Sometimes I find outdated documentation.
What problems is the product solving and how is that benefiting you?
It is Headless BI tool. So, the same data-model can be connected with various visualization tools. We are using with ThoughtSpot and with front end application using GraphQL.
Middle layer that provides cache, fast aggregations and a queryable data model abstraction
What do you like best about the product?
Two Cube features that were particularly useful was that Cube is queryable with mutliple APIs : REST, GraphQL and SQL. This saved an enormous amount of time from building out this layer and allowed existing apps to query the Cube layer easily for relevant data. The other one was that the Cube store acts as a caching layer that not only caches queries but also provides very fast aggregations for analytical purposes. This helped create applications which could satisfy a broad range of requirements which made it applicable for both internal and external facing use cases.
What do you dislike about the product?
For a semantic layer, there are few things that make it feel somewhat feature incomplete. This is by design as cube takes an API first approach preferring to focus on doing few things well. But for users looking for a more "all-in-one" type solution, this is not it. For example, a semantic layer might be expected to have data catalog features or visualization features as well. Cube instead chooses (atleast currently) to faciliate these things rather than providing it out of the box.
What problems is the product solving and how is that benefiting you?
Analytics output that can be served in low latency. Helped us save a lot of development time and focus instead of providing the required outputs needed by the business.
App Developer Synergywfm.com
What do you like best about the product?
Cube has made it much easier for us to generate information cubes and display them in our app that we are developing. It is very easy to use and has an intuitive playground that helps us build the queries and understand how it would work.
What do you dislike about the product?
What I think is not good is the model of the number of productive instances over its cost, I believe that the subscription should contemplate the number of productive instances without measuring any cost.
What problems is the product solving and how is that benefiting you?
Cube solving de method of share volumetric information about our app.
Ambitious BI product
What do you like best about the product?
Very quick to prototype and visualise data, ambious set of supported databases and BI apps to connect with
What do you dislike about the product?
Could definitely have more examples in the docs of different situations
What problems is the product solving and how is that benefiting you?
Make it easy to visualise BI and create reports that benefit the business tracking, also very easy to generate visualisations to add to our product
CubeJS Supercharges your analytics
What do you like best about the product?
I have been using Cube for the better part of the last 2.5 years. It gave us an out-of-the-box abstraction to quickly slice and dice our data arbitrarily and provide insights and analytics layers for our customers. As Cube has grown, they have added more robust query result caching and pre-aggregation generation. We were fortunate enough that this lined up perfectly with our growth. As we collected more and more data, we knew Cube had our back in ensuring that we could continue to provide performant analytics to our customers.
What do you dislike about the product?
Setting up more advanced features, such as cube store + pre-aggregations, is very difficult if you have a large dataset. Seeding the aggregations at the scale of millions of data points is no easy feat. You won't find documentation or ready support in that
Cube does provide a Slack channel where you can ask questions from their team and the community; however, it seems to have been deprioritized recently. I will say that the Cube Cloud support team is very responsive. If you use Cube for production workloads, I highly recommend paying for the managed offering after evaluating its fittingness to your use case.
Cube does provide a Slack channel where you can ask questions from their team and the community; however, it seems to have been deprioritized recently. I will say that the Cube Cloud support team is very responsive. If you use Cube for production workloads, I highly recommend paying for the managed offering after evaluating its fittingness to your use case.
What problems is the product solving and how is that benefiting you?
Cube is helping us provide performant analytics and insights to our customers. They remove the need for us to think about how our analytics scale. The abstraction of the query language gives us a lot of flexibility to build out new slices and measures of our datapoints quickly.
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