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Cube description
Cube is a semantic layer platform designed for data teams and application developers. It helps businesses create a single, consistent view of their data, eliminating discrepancies and improving data accuracy. Cube integrates with various business intelligence and data visualization tools, making it easier to build reports, dashboards, and other analytics applications. With features like data modeling, metrics definitions, and security controls, Cube aims to simplify data access and analysis across an organization.
Who is Cube best for
Cube is a semantic layer platform that streamlines data access and analysis for data teams and application developers. It offers a single, consistent view of data, simplifying reporting and analytics. Users praise its intuitive data modeling and excellent support, while some find advanced features like pre-aggregations complex. Cube integrates with various BI tools but some integrations require adjustments. Ideal for medium to large enterprises.
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Best for medium to large businesses (100-1000+ employees) seeking a robust semantic layer.
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Ideal for data-driven industries like software, marketing, and finance.
Cube features
| Supported Cube supports integration with various BI tools like Tableau, Power BI, and Metabase. |
| Supported Cube supports Analytics as Code using a code-first approach and Git integration. |
| Supported Cube supports universal data definitions through its universal semantic layer, ensuring data consistency. |
| Supported Cube supports granular access control, including role-based access and data access policies. |
| Supported Cube integrates with dbt for data transformation and metric definitions. |
Cube reviews
We've summarised 24 Cube reviews (Cube G2 reviews) and summarised the main points below.
- Simplifies data modeling and analytics development, especially for smaller teams.
- Excellent support, including quick responses via live chat.
- Multiple data consumption endpoints facilitate embedding analytics.
- Intuitive data modeling capabilities.
- Efficient data handling and seamless insight exploration.
- Built-in caching, extensibility through middlewares, and declarative schema definitions simplify development.
- Easy setup and intuitive playground for building queries.
- Robust security context, various data source connectivity, and SQL, REST, and GraphQL API support.
- Difficult integration with some BI tools, requiring tweaks for certain aggregations.
- Lacks the flexibility of dbt metrics for creating new metrics based on existing ones.
- Limited local optimization capabilities for pre-aggregations before deployment.
- Out-dated documentation in some areas.
- Advanced features, like pre-aggregations, can be challenging to set up and manage, especially with large datasets.
- Limited connectors to BI tools, for example Google Sheets connector is missing.
Cube pricing
The commentary is based on 1 reviews from Cube G2 reviews.
Cube Cloud offers a free trial with limited features. The Starter and Premium plans have usage-based pricing, measured in Cube Consumption Units (CCUs), charged per hour of usage. Enterprise and Enterprise Premier plans have custom pricing and require contacting sales for a quote. Several add-ons are available for the Enterprise plans, including Dedicated Infrastructure, Monitoring Integrations, Semantic Catalog, and Audit Log.
See the Cube pricing page.
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Cube has a free trial.
Fully-hosted AWS / GCP, Development toolset, Semantic Layer Sync with one BI: Preset or Metabase, Observability & high-availability, 50k per day query limit, Community Slack, 2 support tickets per month
Everything in Starter, plus: 99.950% Uptime SLA, Custom Domains, Unlimited queries, Multi-cluster Deployment, Performance Insights, Community Slack, Chat & Email, 4 support tickets per month (On-Demand), Unlimited support, Access to professional services, Volume discounts (Commit)
Everything in Premium, plus: 99.990% Uptime SLA, Choice of region AWS, GCP, Azure, SSO with SAML 2.0, Semantic Layer Sync with unlimited supported BIs, Workspace Access Control, MDX API for Excel, DAX API for Power BI, Community Slack, Chat & Email, Dedicated CSM
Everything in Enterprise, plus: 99.995% Uptime SLA, Bring Your Own Cloud (BYOC), Customer-Managed Keys, Custom data source integration, Microsoft Fabric integration, Community Slack, Chat & Email, Dedicated CSM, Fastest response times
Cube alternatives
KeboolaBetter for users seeking broader data management capabilities beyond a semantic layer. Offers more pre-built connectors and data templates. Has higher user ratings and is growing faster.Read more
LookerBetter for users comfortable with SQL. Stronger Google product integration. Looker is a better fit for organizations of all sizes, while Cube excels with medium and large enterprises. Looker has better ratings and more reviews. Looker's pricing is more transparent.Read more
Amazon QuickSightBetter for users comfortable with AWS. Grows faster than Cube. More user reviews are available. Easier setup and AWS integration are praised by users. Performance issues with large datasets are a common complaint.Read more
AchoBetter for non-technical users seeking ease of use and strong customer support. Acho is more application-focused, aiming to replace multiple tools for growing businesses seeking operational streamlining. Higher ratings on G2.Read more
Holistics Data SoftwareBetter fit for smaller organizations and data-driven startups. Geared towards self-service BI and easier for non-technical users. Has significantly more website traffic momentum.Read more
BlastMore focused on data management and cost savings through efficient processes. Caters to mid-sized and larger companies. Has less momentum and fewer integrations than Cube.Read more
Cube FAQ
Cube is a semantic layer platform for data teams and application developers. It creates a unified, consistent data view, improving accuracy and simplifying data access for reporting, dashboards, and other analytics applications. It integrates with various BI tools and offers features like data modeling, metrics definitions, and robust security.
What is Cube and what does Cube do?
Cube is a semantic layer platform for data teams and application developers. It creates a unified, consistent data view, improving accuracy and simplifying data access for reporting, dashboards, and other analytics applications. It integrates with various BI tools and offers features like data modeling, metrics definitions, and robust security.
Cube integrates with various business intelligence (BI) and data visualization tools, including Tableau, Power BI, and Metabase. It also supports dbt for data transformation and offers REST and GraphQL APIs for application integration. This allows for flexible data access and analysis within preferred reporting and visualization platforms.
How does Cube integrate with other tools?
Cube integrates with various business intelligence (BI) and data visualization tools, including Tableau, Power BI, and Metabase. It also supports dbt for data transformation and offers REST and GraphQL APIs for application integration. This allows for flexible data access and analysis within preferred reporting and visualization platforms.
Top alternatives to Cube include Keboola, Looker, Amazon QuickSight, Acho, Holistics, and Blast. These competitors offer similar semantic layer and business intelligence functionalities for data analysis and reporting.
What the main competitors of Cube?
Top alternatives to Cube include Keboola, Looker, Amazon QuickSight, Acho, Holistics, and Blast. These competitors offer similar semantic layer and business intelligence functionalities for data analysis and reporting.
Yes, Cube is a legitimate semantic layer platform. It simplifies data access and analysis, offering robust security and integrations with various BI tools. However, some users find certain integrations challenging and advanced features complex. It's generally well-regarded for its intuitive data modeling and excellent support.
Is Cube legit?
Yes, Cube is a legitimate semantic layer platform. It simplifies data access and analysis, offering robust security and integrations with various BI tools. However, some users find certain integrations challenging and advanced features complex. It's generally well-regarded for its intuitive data modeling and excellent support.
Cube's pricing is consumption-based, starting at $0.15 per Cube Consumption Unit for the Starter plan. Premium is $0.30 per unit. Enterprise and Enterprise Premier plans have custom pricing. A free plan is also available for trying out Cube.
How much does Cube cost?
Cube's pricing is consumption-based, starting at $0.15 per Cube Consumption Unit for the Starter plan. Premium is $0.30 per unit. Enterprise and Enterprise Premier plans have custom pricing. A free plan is also available for trying out Cube.
Cube's customer service receives positive feedback, with users highlighting excellent support and quick responses via live chat. However, some users have noted that community Slack channel support seems to have been deprioritized recently. Despite this, the Cube Cloud support team is considered very responsive.
Is Cube customer service good?
Cube's customer service receives positive feedback, with users highlighting excellent support and quick responses via live chat. However, some users have noted that community Slack channel support seems to have been deprioritized recently. Despite this, the Cube Cloud support team is considered very responsive.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.