Overview
Cube Cloud is a universal semantic layer for data and app development teams that makes it easy to connect siloed data and create consistent metrics that are accessible to any data consumer-AI, BI, spreadsheets, and embedded analytics. The solution provides unmatched integrations and interoperability, supporting a robust set of deployment options, data connectivity, coding languages, and native APIs so that you can build AI and analytics solutions to fit your unique modern data stack requirements.
With Cube Cloud, business data becomes consistent, accurate, easy to access, and most importantly, trusted. Data engineers and application developers use Cube Cloud's code-first, developer-oriented platform to:
- Organize and govern data from cloud data warehouses into centralized, consistent, and
reusable data models and business definitions.
- Apply software engineering best practices and processes to data management: CI/CD,
isolated environments, and version control with Git integration.
- Use intelligent capabilities like data model code generation and front-end embedded
analytics code generation to increase productivity.
- Optimize query performance and save on cloud data usage with pre-aggregation caching
capabilities.
- Deliver data to any downstream tool via data APIs: SQL, REST, GraphQL, AI, and MDX.
Cube accelerates trusted data-driven decisions, delivering better experiences to employees inside the organization, customers outside the organization, and even machines with our native OpenAI integrations. Build Generative AI experiences with the AI API. For internal BI use cases, Cube Cloud provides a semantic catalog and Generative AI capabilities to simplify discovery, exploration, and access to modeled data and downstream, connected BI content for data analysts and business users. Add unlimited named user accounts to allow anyone to search and reuse trusted data products and perform natural language queries in a simplified, business user friendly interface.
When you choose Cube Cloud on AWS, you can easily integrate with the following AWS services and more:
- Redshift, Athena, Aurora, RDS
- QuickSight
Highlights
- Easily deliver a lightning fast embedded analytics experience to delight your customers
- Sync and connect all your BI tools to drive consistency across your company
- Bring context to your LLMs, AI agents, and bots by adding on a semantic layer
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Premium | Cube Cloud Premium ($10K+ annual minimum commitment) | $10,000.00 |
Enterprise | Cube Cloud Enterprise ($20K+ annual minimum commitment) | $20,000.00 |
Enterprise Premier | Cube Cloud Enterprise ($40K+ annual minimum commitment) | $40,000.00 |
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
Email support services are available from Monday to Friday
support@cube.dev
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

Standard contract
Customer reviews
Automated reporting has freed time for deeper analysis and improved budget and variance reviews
What is our primary use case?
Cube is the best absolute best FP&A software, dollar for dollar out there. My organization looked at a few different tools and none of them came close to Cube in terms of the value that we get from it now. We really wanted three different things for our organization: automated financial reporting, ease of financial review, and assistance with budget and flux models. Cube was the only software that really let a bunch of us non-technical users at my organization accomplish all of our goals without sacrificing anything.
Cube easily integrates into Excel and makes it simple for us to plug it right into our template and roll it forward. Our FP&A team has been able to utilize this software exceptionally well. Their forecasting and budgeting has been top-notch and faster.
Regarding how Cube fits into my workflow, it is extremely simple to set up and easy to run. The website portal is very clean and well-organized, making it possible to create forecast or budgeting scenarios with just a click of a button.
What is most valuable?
A specific example of how my team uses Cube in our day-to-day work is that above all, Cube has vastly enhanced our ability to get financial reporting done quickly and free up our time to really dig deep into various accounts. This has greatly improved the accuracy of our financial results beyond what you would even believe.
The clean portal and organization help my team by making it easy to navigate and the data collected is very clean and managed in an understandable manner, hence making it very easy to make data-driven decisions.
Regarding the features, customer service is great, customization of financial reports, ease of integration with other tools seamlessly, continuous system testing and upgrades, and easy creation of monthly and P&L variance analysis. Data import and export is smooth and efficient. Monthly reporting and analysis is easy to pull and update.
The positive impact Cube has had on my organization includes additional time for analysis, less than budgeted spend, and more accurate financial results resulting in better decisions. The error rate has reduced from 40 to 50%.
The reduction in errors has affected my team and the business overall by improving speed and efficiency for month-end close processes. Better consolidation of data for long-term trend analysis is evident, and easy P&L creation and variance analysis has been great.
What needs improvement?
Cube can be improved by enhancing data refresh over multiple tabs. The speed at which data is imported can also be improved.
Additionally, Cube needs to add functionality for headcount planning.
For how long have I used the solution?
I have been using Cube for four years and a few months.
What do I think about the stability of the solution?
Cube is stable as I have not experienced any downtime or logging issues.
What do I think about the scalability of the solution?
Cube's scalability is very good because it handles my organization with great efficiency.
How are customer service and support?
Customer support for Cube is very responsive and solution-oriented.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I previously used Workday Adaptive Planning and I switched to Cube because it lacks a lot of the features that Cube provides.
How was the initial setup?
I chose a nine out of 10 for Cube because it is very easy to use even for us non-technical users. It has a very intuitive, user-friendly interface. It has helped us improve speed and efficiency for month-end close processes. We have gotten better consolidation of data for long-term trend analysis. The setup is very easy and required almost no help from IT, which is a big plus.
Cube's ability to create custom reports easily on the fly is impressive. It is fully Excel-based and simple to use. Integration was extremely simple. It is simple to create custom reports on the fly, and easy to review financial performance by each department, which enables greater transparency in departmental-level budgeting.
What was our ROI?
I have seen a return on investment as Cube has streamlined the creation of monthly close packs, helped business partners better understand their monthly P&Ls, and allowed for more granular BVA reporting.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing is that the price is very cost-effective and licensing is very affordable, making it a great financial reporting tool for startups.
Which other solutions did I evaluate?
Before choosing Cube, I evaluated other options, including OnePlan.
What other advice do I have?
Cube is well-suited to help save time on financial reporting if you need to refresh the same templates each month. It is also great for building templates and pulling in data directly from Excel or Google Sheets. However, it is less appropriate for companies that run into issues with uploading large sets of transaction data, and it does not have robust planning or forecasting features that you will find in other FP&A tools competitors. I would rate this product a 9 out of 10.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Powerful Semantic Layer, Poor Cloud Support
Super Easy Access to the DEV team
Great for AI applications and general data apps!
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.
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.