Fully managed hosting of your Cube apps
Universal Semantic Layer:
Model your data once, deliver it anywhere
Enterprises today face unprecedented pressure to translate data, analytics, and AI potential into tangible business outcomes. Cube Cloud makes data models and metrics AI- and BI-ready for every data consumer. Transform your fragmented, legacy data infrastructure into a cohesive single source of truth. Now you can unify business logic, centralize governance, optimize operations, and accelerate data-driven outcomes across your enterprise.
Cube Cloud: The Universal Semantic Layer
Data Modeling
Unify fragmented business definitions. Consolidate data modeling workflows and create a single source of truth with consistent metrics, defined once.
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Access Control
Centralize and enforce fine-grained governance and security policies. Grant row and column level permissions and mask sensitive data upstream.
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Caching
Achieve faster, more cost-efficient results. Optimize query performance with a powerful caching layer and advanced pre-aggregation capabilities.
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APIs
Integrate with any endpoint. Use Cube’s AI, GraphQL, MDX, REST, and SQL Instant APIs to deliver trusted data to front-end applications.
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Cube Cloud evolves traditional OLAP into a flexible, cloud-native platform built for modern data demands. It replaces rigid, pre-computed structures with dynamic multidimensional analytics, making your data infrastructure nimble and future-ready. With Cube Cloud, your enterprise can seamlessly unify, govern, and optimize data for reliable AI and BI workloads.
DATA MODELING
Unify fragmented business logic
Modern organizations struggle with inconsistent metrics and duplicated logic across disparate systems. Cube Cloud allows you to model your data once, creating a consistent, single source of truth available to every data consumer.
- Replace legacy OLAP with modern multidimensional queries
- Eliminate redundant data reconciliation
- Prepare unified, context-enriched data models for AI and BI
DATA ACCESS CONTROLS
Govern data access centrally
Growing regulatory pressures and security concerns demand consistent, controlled data access. Cube Cloud brings consistency to every data consumer, securing sensitive data and maintaining compliance.
- Centralize fine-grained access controls and policies
- Enforce data security, governance, and compliance
- Deliver trusted, accurate AI outputs and actionable BI insights
CACHING & PRE-AGGREGATIONS
Optimize for speed and savings
Cube Cloud’s intelligent caching boosts query performance and cuts cloud costs, ideal for real-time analytics and high-performance AI workloads.
- Accelerate query response with intelligent caching
- Reduce cloud compute expenses with pre-aggregations
- Ensure more agile, cost-effective operations
DATA APIs
Integrate using API endpoints
Committed to seamless interoperability, Cube Cloud’s API-first design easily integrates with your existing tech stack and emerging platforms.
- Deliver unified data models across every data consumer
- Support tool preferences without disrupting workflows
- Maximize the strategic value of analytics investments
Ready to upgrade your data stack?
Use Cases of Cube
Embedded Analytics
Build consistent, secure, and performant embedded analytics.
Real-time Analytics
Trust your real-time data with a stack designed for consistency and speed.
LLM & AI Semantic Layer
Bring context to AI chatbots and LLMs
Modern Cloud OLAP
Bridge the Gap Between your Modern Data Stack and Spreadsheets
Cube really stood out as a great fit for our use case. We were able to level‑up our data infrastructure without needing to build a full‑blown and expensive data pipeline. Read the Case Study
Jc Weinrich
Architect in Jobber
We can develop and ship analytics products without dealing with any net new infrastructure development going forward. Our efforts are focused on what matters: the data and the UI. Read the Case Study
Louis Zuckerman
Sr. Staff Software Engineer at Simon Data
None of the standard BI tools can provide a truly native analytical experience. So, if that’s what you’re looking to give your end users, you definitely need a semantic layer platform that can create a seamless embedded analytics UX Read the Case Study
Dhyan Shah
Product Manager at RamSoft
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