# Cube Reviews **Vendor:** Cube **Category:** [Semantic Layer Tools](https://www.g2.com/categories/semantic-layer-tools) **Average Rating:** 4.5/5.0 **Total Reviews:** 27 ## About Cube Cube Cloud is a universal semantic layer 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 solutions to fit your unique requirements on the modern data stack. 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. You can 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. ## Cube Pros & Cons **What users like:** - Users appreciate the **ease of use** of Cube, with simple development and maintenance for analytics embedding. (5 reviews) - Users love the **flexibility and customization** options of Cube, enhancing their embedded analytics applications significantly. (4 reviews) - Users value the **powerful BI capabilities** of Cube, enhancing metrics design and accelerating data access efficiently. (4 reviews) - Users commend the **fast and proactive customer support** of CubeJS, enhancing their overall experience and productivity. (3 reviews) - Users commend the **flexibility and customization** of CubeJS, facilitating seamless integration and tailored analytics solutions. (3 reviews) - Innovation (3 reviews) - Users value the **powerful integrations** of Cube, enabling seamless data consumption across various languages and platforms. (3 reviews) - Performance (3 reviews) - Scalability (3 reviews) - Speed (3 reviews) **What users dislike:** - Users find Cube lacking in **key features** , with limited integration options and incomplete functionality for an all-in-one solution. (4 reviews) - Users often face **bugs and inconsistencies** in Cube, leading to frustration with features and integration challenges. (3 reviews) - Users find **data integration challenging** , with difficulties in BI tool compatibility and issues with query aggregations. (2 reviews) - Users find Cube has **limited features** , lacking comprehensive tools like advanced visualization and a robust SDK. (2 reviews) - Users report experiencing **software bugs** and confusion with features, affecting overall usability and integration efforts. (2 reviews) - SQL Issues (2 reviews) - Users find the **access control documentation confusing** , making feature integration and usage challenging at times. (1 reviews) - Complex Data Modeling (1 reviews) - Users find the **complex usage** of Cube challenging due to confusing documentation and syntax issues during integration. (1 reviews) - Integration Issues (1 reviews) ## Cube Reviews ### 1. Powerful Semantic Layer, Poor Cloud Support **Rating:** 1.0/5.0 stars **Reviewed by:** Alejo B. | Chief Data Officer, Mid-Market (51-1000 emp.) **Reviewed Date:** February 03, 2026 **What do you like best about Cube?** I find Cube to be a very sophisticated product that allows me to design complex metrics and dimensions in a scalable and composable way. I also appreciate the useful caching (preaggregation) layer. Having a strong common semantic layer is key for us as a data product company serving dashboards and insights to our customers. **What do you dislike about Cube?** The service provided by the cloud team is horrible. We are a paying customer, with an annual commitment, and are having big issues when scaling that are not being solved by them. We don't have visibility into what is happening. **What problems is Cube solving and how is that benefiting you?** Cube closes the gap between our data model and business metrics, supporting complex metric design with a scalable semantic layer and a useful caching layer. ### 2. Super Easy Access to the DEV team **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Real Estate | Small-Business (50 or fewer emp.) **Reviewed Date:** September 18, 2025 **What do you like best about Cube?** Cube is a platform that presents the data in a very clear way. When we do the selection of column, it can also automatically generate sql code for SSMS. The query history is also great for tracking the error. When there's any problem, cube dev team is super easy to access, and they respond very fast. They really provide a strong tech support. **What do you dislike about Cube?** Sometimes they query history loaded longer than expected. **What problems is Cube solving and how is that benefiting you?** It can show data very clearly and allow me to select any column to see the data in an easy way. ### 3. Great for AI applications and general data apps! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Commercial Real Estate | Mid-Market (51-1000 emp.) **Reviewed Date:** January 21, 2025 **What do you like best about Cube?** 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. **What do you dislike about Cube?** 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. **What problems is Cube 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. ### 4. What a modern semantic layer solution should look like **Rating:** 5.0/5.0 stars **Reviewed by:** Rafael L. | Small-Business (50 or fewer emp.) **Reviewed Date:** October 09, 2023 **What do you like best about Cube?** 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 Cube?** 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 Cube 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. **Official Response from Lissa Daniels:** > Thank you for the feedback, Rafael. We appreciate your support. ### 5. Easy to setup analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.) **Reviewed Date:** September 21, 2023 **What do you like best about Cube?** - 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 **What do you dislike about Cube?** 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. **What problems is Cube solving and how is that benefiting you?** Cube makes it easy to build analytics tools on your data. **Official Response from Lissa Daniels:** > Thank you for your feedback. It is good to have your thoughts. ### 6. CubeJS Supercharges your analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Steven L. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 25, 2023 **What do you like best about Cube?** 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 Cube?** 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. **What problems is Cube 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. ### 7. Great Data-Driven Applications **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** September 21, 2023 **What do you like best about Cube?** 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 Cube?** 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 Cube 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. **Official Response from Lissa Daniels:** > Thank you for the feedback. We appreciate the support. ### 8. Totally must-have for modern data analysis systems **Rating:** 5.0/5.0 stars **Reviewed by:** Mateusz J. | Small-Business (50 or fewer emp.) **Reviewed Date:** July 25, 2023 **What do you like best about Cube?** 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 Cube?** 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 Cube 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. **Official Response from Lissa Daniels:** > Thank you for your feedback. We appreciate your support. ### 9. Middle layer that provides cache, fast aggregations and a queryable data model abstraction **Rating:** 4.5/5.0 stars **Reviewed by:** Raghuveer S. | Small-Business (50 or fewer emp.) **Reviewed Date:** July 06, 2023 **What do you like best about Cube?** 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 Cube?** 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 Cube 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. ### 10. Deliver Data Insights Quick and Easy **Rating:** 4.5/5.0 stars **Reviewed by:** William T. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 07, 2023 **What do you like best about Cube?** Cube makes it incredibly easy to expose our reporting data to our businesses. Our shift to using Cube to serve our reporting data has cut the deployment process of new features and bug fixes from hours to minutes. Also, the onboarding process for getting up to speed with the product was swift, and the Cube team has been very responsive to feature requests. **What do you dislike about Cube?** The only real issue we currently have is with the limit of 50k records that can be served. Some of the datasets that are requested go well above this, and we need to go outside of the tool for a way to service these requests. **What problems is Cube solving and how is that benefiting you?** The product we used before Cube had complicated deployments and required a lot of specialized knowledge to deliver data to our reporting service. Cube has allowed us to drop our deployment time from hours to minutes, quickly onboard new members to the product, and significantly reduce our platform error rate. ### 11. App Developer Synergywfm.com **Rating:** 4.0/5.0 stars **Reviewed by:** Ariel S. | Small-Business (50 or fewer emp.) **Reviewed Date:** July 03, 2023 **What do you like best about Cube?** 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 Cube?** 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 Cube solving and how is that benefiting you?** Cube solving de method of share volumetric information about our app. ### 12. Tons of functionality and super easy to use **Rating:** 5.0/5.0 stars **Reviewed by:** Bruce S. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 06, 2023 **What do you like best about Cube?** Cube has a ton of functionality -- from querying, serving and caching to static and dynamic schemas and complicated preaggregations from one or more data sources. Often when a tool nears this level of functionality it becomes hard to use, yet Cube maintains all of the attributes that make it simple to get started with and use. **What do you dislike about Cube?** Our use case includes hundreds of tenants each with tens of BigQuery tables that have hundreds of columns that are all different and we've had to build some logic into both our clients and data processing layers to allow Cube to sit between. **What problems is Cube solving and how is that benefiting you?** At Ternary, we help customers understand and manage their cloud expenses. To that end, we've got quite a few different tables we expose to our customers via Cube, most notably GCP billing data, AWS CUR data and Azure billing data. ### 13. A modern and flexible semantic layer for building cloud based applications at scale. **Rating:** 4.5/5.0 stars **Reviewed by:** David R. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 06, 2023 **What do you like best about Cube?** The best part about Cube is how easily we can define and standardize our application's data layer and reporting capabilities. We've ensured consistent calculations of measures across consumers, enforced custom data security rules and, most importantly, scaled our application without friction. **What do you dislike about Cube?** Some aspects of Cube Cloud UI, such as the query performance and pre-aggregation build tabs, can load slowly. On the whole, the product has received consistent and impactful updates and the support team is quick to assist when required. **What problems is Cube solving and how is that benefiting you?** Cube has helped us create a flexible and robust data product providing customizability while ensuring the accuracy of our end users' reports. Cube Cloud has been instrumental in our ability to rapidly scale our application without needing to manage infrastructure for caching, serving or pre-aggregating our data. ### 14. Perfect for building white label reports embedded in SaaS applications **Rating:** 4.5/5.0 stars **Reviewed by:** Ryan W. | Senior Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 06, 2023 **What do you like best about Cube?** 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 Cube?** 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 Cube 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. ### 15. Achieving metrics consistency across BI tools **Rating:** 4.5/5.0 stars **Reviewed by:** Jonathan B. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 06, 2023 **What do you like best about Cube?** The semantic layer concepts is easy to onboard and get a PoC working. The documentation is well-written and exhaustive. But what I like the most is the pre-aggregations which allow us to warm up queries and reduce query time by 10x or more! **What do you dislike about Cube?** It lacks a bit of connectors to BI tools, although they have been pretty busy lately with adding SQL API. A Connector to Gsheet would be awesome. Also, sometimes it's hard to decide whether a particular data set should be modelled in the database or in a Cube schema **What problems is Cube solving and how is that benefiting you?** Cube is solving the problem of single source of truth (we had metrics defined in multiple BI tools, tables etc...) ### 16. A polyvalent and effective semantic layer **Rating:** 4.5/5.0 stars **Reviewed by:** Olivier D. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 05, 2023 **What do you like best about Cube?** 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 Cube?** 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 Cube 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. ### 17. Build your BI lighting fast **Rating:** 4.5/5.0 stars **Reviewed by:** Angelo D. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 03, 2023 **What do you like best about Cube?** 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 Cube?** 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 Cube 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. ### 18. Flexible modern solution for creating embedded analytical application **Rating:** 4.0/5.0 stars **Reviewed by:** Dhyan S. | Product Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** March 07, 2023 **What do you like best about Cube?** * Flexibility and Customization it provides to an embedded analytical application * Speed of development * Good Support **What do you dislike about Cube?** The ability to build and manage a semantic layer with a GUI is something I defiantly miss CUBE. Visualizing and seeing all your tables and how they connect makes a big difference when you are working with a large schema. **What problems is Cube solving and how is that benefiting you?** It allowed us to build a highly customized analytical tool for our product without worrying about the backend semantic layer. It also has the needed SDKs to speed up integration. ### 19. Best embedded analytics tool **Rating:** 5.0/5.0 stars **Reviewed by:** Cirdes H. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 18, 2023 **What do you like best about Cube?** Before Cube i was using iframes to embed data in my application. With cube it is easy to embed data with the look and feel of my application **What do you dislike about Cube?** I don't have any complaints about cube app. **What problems is Cube solving and how is that benefiting you?** For the first time I have embeds that are easy to build and looks amazing ### 20. Cube.dev: where data modeling done right and software engineering best practices meet together **Rating:** 5.0/5.0 stars **Reviewed by:** Alessandro L. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 06, 2023 **What do you like best about Cube?** 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. **What do you dislike about Cube?** 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. **What problems is Cube 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. ### 21. Headless and powerful **Rating:** 5.0/5.0 stars **Reviewed by:** Francesco M. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 08, 2023 **What do you like best about Cube?** It is extremely flexible when it comes to adapt to different ui solutions. The team was responsive with supporting with the integration and scalability. It does not require knowledge of a custom language. The playground is also very helpful **What do you dislike about Cube?** It can be hard to understand how cube generate the underneath queries to serve the apis when there are multiple joins together. Designing the most efficient schema can be a bit tricky. **What problems is Cube solving and how is that benefiting you?** It allows us to produce our custom UI ### 22. Great Headless BI tool **Rating:** 4.5/5.0 stars **Reviewed by:** Krishti B. | Senior Executive - Director Data & BI Analytics, Enterprise (> 1000 emp.) **Reviewed Date:** July 09, 2023 **What do you like best about Cube?** Cube cloud allows to add data-model from various Databases, allows robust security context and SQL, REST, GraphQL API. **What do you dislike about Cube?** Sometimes I find outdated documentation. **What problems is Cube 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. ### 23. Ambitious BI product **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** June 28, 2023 **What do you like best about Cube?** Very quick to prototype and visualise data, ambious set of supported databases and BI apps to connect with **What do you dislike about Cube?** Could definitely have more examples in the docs of different situations **What problems is Cube 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 ### 24. Amazing **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 19, 2023 **What do you like best about Cube?** I love the Cube Cloud! It's very useful when monitoring query performance. **What do you dislike about Cube?** I haven't been able to find much training. **What problems is Cube solving and how is that benefiting you?** it helps us provide dashboards to our users quickly! **Official Response from Lissa Daniels:** > Hey, thank you for the feedback. We will work on better training. ### 25. Essential tool for building dashboards and data visualizations **Rating:** 4.5/5.0 stars **Reviewed by:** Andrew F. | Co-Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** March 07, 2023 **What do you like best about Cube?** I like how simple it is to connect cube cloud with your database. If your dataschema is simple you can get your data api up and running in a matter of hours. **What do you dislike about Cube?** As the product is young sometimes glitches happen but the team is responsive and open to help. Plus they have a community slack where users help users. **What problems is Cube solving and how is that benefiting you?** I used cube to build to build dashboards in a few products. I used the platform as an API layer between my data and visualizations write in react. The overall experience was good. ### 26. Fast delivery and easy to use **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** June 19, 2023 **What do you like best about Cube?** Cube helps us to quickly delivery features **What do you dislike about Cube?** Cube should focus more on Microsoft data products' driver support like Azure SQL, Azure Synapse, Azure Fabric **What problems is Cube solving and how is that benefiting you?** Analytics sementic layer ### 27. An API for your data platform **Rating:** 4.0/5.0 stars **Reviewed by:** Juan M. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 07, 2023 **What do you like best about Cube?** A complete semantic solution for our data platform that is easy to develop. We can share our semantic layer across our SaaS and our BI tool. **What do you dislike about Cube?** Preaggretions can be challenging to manage and reason about. SQL API is not as functional as the REST API. **What problems is Cube solving and how is that benefiting you?** Cube gives us a single source of truth for our data and metrics that our SaaS can consume through an HTTP API and our BI Tool can access through the SQL API. - [View Cube pricing details and edition comparison](https://www.g2.com/products/cube-2023-07-31/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-16+15%3A25%3A58+-0500&secure%5Bsession_id%5D=8eeb70b3-95da-4334-8d83-325a52b917e5&secure%5Btoken%5D=f27f825962f66b47d5a66fef257793629e2ff7f94b4416eea9cccae0fe3cf301&format=llm_user) ## Cube Integrations - [Azure Pipelines](https://www.g2.com/products/azure-pipelines/reviews) ## Cube Features **Reports** - Reports Interface - Graphs and Charts - Dashboards **Data Preparation** - Connectors - Data Governance **Deployment & Integration - Semantic Layer Tools** - Multi-Environment & Multi-Cloud Support - Open API & SDK Integration **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Data Connectivity & Federation - Semantic Layer Tools** - Cross-Source Query Federation - Dynamic Schema & Metadata Adaptation **Generative AI** - AI Text Generation **Data Modeling & Metrics - Semantic Layer Tools** - Derived & Calculated Metrics - Time Intelligence Functions **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance Optimization - Semantic Layer Tools** - Query Caching & Acceleration - Adaptive Query Optimization **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Governance - Semantic Layer Tools** - AI Governance & Observability - Metric Lineage for AI Training Data - Version Control & Change Impact Analysis **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Intelligence - Semantic Layer Tools** - Natural Language Query Interface - Semantic Layer for AI/ML Models - Recommendation Engine **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Enablement - Semantic Layer Tools** - Agentic Query Orchestration - Contextual Reasoning Layer - Workflow Automation via Semantic Agents **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - Data Transformation - Data Modeling - Integration APIs **Platform** - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Cube Alternatives - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - 4.5/5.0 (1,563 reviews) - [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews) - 4.2/5.0 (558 reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,535 reviews)