Cube Pricing & Features Overview- Subscribed.FYI

Cube.js

Cube is a comprehensive semantic layer translating raw data into consistent, secure, and performant insights accessible via APIs to unify data sources, optimize access control and performance, and empower users across organizations to explore and analyze data easily.

Overview

What is Cube?

Cube isn’t just another data layer; it’s a comprehensive semantic layer designed to bridge the gap between your data sources and applications. Forget complex configurations and siloed information – Cube acts as a translator, transforming your raw data into consistent, secure, and performant insights accessible to any tool or team.

Why Use Cube?

Struggling to unify data from various sources and make it easily consumable across your organization? Cube offers a compelling solution:

  • Semantic layer: Translate raw data into clear, consistent definitions, regardless of its source. Users access a single understanding of data metrics, eliminating confusion and inconsistencies.
  • Centralized access control: Define different granular access levels for data, ensuring data security and compliance across all applications and users.
  • Performance optimization: Utilize caching and pre-aggregation to deliver fast and reliable data access, even for large datasets and multiple users.
  • API-first approach: Connect any BI tool, visualization platform, or custom application via GraphQL, REST, and SQL APIs, fostering flexibility and integration.
  • Open-source and cloud options: Choose between the self-hosted open-source version or the managed cloud solution for a tailored deployment.

Who is Cube For?

Cube empowers various groups with seamless data access and insights:

  • Data engineers and analysts: Streamline data modeling, access control, and performance optimization through a centralized platform.
  • Application developers: Integrate consistent and secure data into any application with ease using comprehensive APIs.
  • Business users and analysts: Explore and analyze data through familiar BI tools and dashboards with consistent metrics and definitions.
  • Product managers and executives: Gain valuable data-driven insights to inform strategic decisions and track key performance indicators.
  • Organizations with complex data architectures: Unify data from multiple sources, ensuring consistent definitions and secure access across teams and applications.

Cube stands out as a versatile and powerful data platform that simplifies data access, empowers teams, and fosters informed decision-making. Its commitment to a semantic layer, granular access control, and flexible API integrations makes it an attractive choice for organizations of all sizes seeking to unlock the true potential of their data. Whether you’re a data engineer building a robust data infrastructure or a business user seeking actionable insights, Cube provides the tools to bridge the gap between your data and your ambitions.

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Pricing and Features

Product Tier
Pricing
Features

Open Source

Pricing

Free

  • Open Source: Visit Github page.
  • Efficient Data Modeling: Organize SQL code effortlessly with powerful framework.
  • Performance Optimization: Address analytics challenges with enhanced query speed.
  • Access Control Governance: Secure data access for downstream applications effectively.
  • Application Integration: Seamless integration for embedded analytics, dashboards, and more.
  • Consistent Data Access: Access data consistently through REST, SQL, and GraphQL.
  • Tailored for BI Tools: Ideal for building business intelligence applications.
  • Maintenance-Friendly: Prevent SQL maintenance nightmares with Cube’s organizational capabilities.

Cloud Starter

Monthly Price

$99

Yearly Price

$1,188

Free Trial (Weeks)

No Trial

  • Full Hosting: Fully-hosted on AWS or GCP for convenience.
  • Development Toolset: Comprehensive development tools for enhanced functionality.
  • Semantic Layer Sync: Synchronize with one BI tool – Preset or Metabase.
  • Speed: Ensure system observability and high availability.
  • Increased Query Limit: Daily query limit of 50k for more data processing.
  • Support Included: Access support services for assistance and guidance.
  • Community Slack: Community through the dedicated Slack channel.

Cloud Premium

Monthly Price

$833.33

Yearly Price

$10,000

Free Trial

Request a Demo

  • Enhanced Uptime: Guaranteeing 99.950% Uptime SLA for uninterrupted service.
  • Custom Domains: Personalize your Cube experience with custom domains.
  • Unlimited Queries: Remove query restrictions for unrestricted data exploration.
  • Multi-Cluster Deployment: Optimize deployment with multi-cluster capabilities.
  • Performance Insights: Gain valuable insights into system performance.
  • Support Included: Access support services for assistance and guidance.
  • Community Interaction: Community through Slack, chat, and email channels.

Cloud Enterprise

Monthly Price

$1,666.66

Yearly Price

$20,000

Free Trial

Request a Demo

  • Exceptional Uptime: Achieve a 99.990% SLA for constant reliability.
  • Dedicated Network: Get a VPC/VPC Peering for network control.
  • Multi-Cloud Hosting: Use AWS, GCP, Azure in all regions.
  • Monitoring Integrations: Integrate tools for comprehensive oversight.
  • Single Sign-On (SSO): Implement SSO with SAML 2.0.
  • Comprehensive Support: Access support, w/ a Customer Success Manager.
  • Community Engagement: Join the community via Slack, chat, and email.

Cloud Enterprise Premier

Pricing

On-Request

  • Exceptional Uptime: Achieve a 99.995% SLA for maximum reliability.
  • Elastic Integration: Seamlessly integrate with the Elastic stack.
  • kSQL Integration: Leverage integration with kSQL for advanced querying.
  • Custom Data Sources: Connect with custom data sources effortlessly.
  • Unlimited BI Support: Enjoy Semantic Layer Sync supporting unlimited BIs.
  • Comprehensive Support: Access support w/ a Customer Success Manager.
  • Community Engagement: Join the community via Slack, chat, and email.
  • Rapid Response Times: Experience the fastest support response times.

Experience

Cancellation

Concluding Your Cube Subscription

Should your development workflow evolve, Cube offers a clear and efficient process to finalize your subscription. To ensure a smooth transition and avoid unintended charges, please check this page.

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Product FAQ

What is Cube and what problem does it solve?

Cube is a semantic layer platform that sits between your data sources and data applications. It acts as a central translator, unifying data definitions and metrics across different sources, making it easier and faster for anyone in your organization to access and understand data. This eliminates the need for manual data manipulation and streamlines data analysis.

How does Cube differ from traditional data warehouses or BI tools?

Unlike traditional data warehouses, which require complex ETL pipelines and technical expertise to access, Cube offers a more agile and self-service approach. It doesn’t store the actual data itself, but rather acts as a virtual layer that interprets and presents data from various sources in a consistent format. This simplifies data access for business users and analysts, enabling faster insights without relying solely on IT teams.

What types of data sources does Cube integrate with?

Cube supports a wide range of data sources, including cloud data warehouses like Snowflake, Redshift, and BigQuery, as well as on-premise databases like MySQL and PostgreSQL. Additionally, it offers integrations with data platforms like Fivetran and Stitch, allowing seamless data ingestion and transformation.

How does Cube compare to other semantic layer solutions like Looker or ThoughtSpot?

Cube focuses on providing a flexible and developer-friendly API, while Looker and ThoughtSpot offer more pre-built visualizations and user interfaces. Consider your team’s technical expertise and specific needs when choosing a semantic layer solution.

Is Cube easy to use for people with no technical expertise?

Cube provides a user-friendly interface for defining metrics and creating data models. However, some technical knowledge might be helpful for advanced configurations and integrations. The platform offers documentation, tutorials, and community support to assist users of all technical levels.