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    Cube Cloud

     Info
    Connect siloed data, drive consistent metrics, and power your AI and analytics with context.

    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

    Delivery method

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (3)

     Info
    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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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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.

    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.

    Product comparison

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    Updated weekly
    By Cube Dev, Inc.
    By MicroStrategy, Inc.

    Accolades

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    Top
    25
    In Data Analysis
    Top
    50
    In Financial Services, Business Intelligence & Advanced Analytics
    Top
    10
    In Amazon Redshift, Analytic Platforms

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

     Info
    AI generated from product descriptions
    Data Modeling
    Organize and govern data from cloud data warehouses into centralized, consistent, and reusable data models and business definitions
    Query Performance Optimization
    Implement pre-aggregation caching capabilities to optimize query performance and reduce cloud data usage
    API Connectivity
    Support multiple data API protocols including SQL, REST, GraphQL, AI, and MDX for downstream tool integration
    Development Workflow
    Apply software engineering best practices like CI/CD, isolated environments, and version control with Git integration
    AI Integration
    Provide native OpenAI integrations and AI API for building generative AI experiences with semantic layer context
    AI-Powered Workflow Automation
    Utilizes generative AI technology to automate complex data analysis and workflow processes across enterprise environments
    Cloud-Native Architecture
    Supports microservices and cloud container technologies with RESTful APIs and rich SDKs for flexible development and integration
    Semantic Graph Technology
    Implements advanced semantic graph infrastructure to enhance data reliability and support both structured and unstructured data analysis
    Multi-Source Data Connectivity
    Enables connection and blending of diverse data sources including platforms like Snowflake and Databricks
    Conversational AI Interface
    Provides AI-driven chat technology for interactive data exploration, visualization creation, and complex analytics tasks
    Data Integration
    Seamless integration with multiple cloud data sources including Amazon Redshift, RDS, EMR, S3, Athena, SAP HANA, and other enterprise databases
    Analytics Engine
    Cloud-scale in-place analytics that leverages underlying data source capabilities for real-time data access without pre-loading data into platform memory
    Machine Learning Capabilities
    Embedded machine learning algorithms and scripting for advanced data science and complex business problem analysis
    Data Preparation
    Automatic data modeling, formula generation, and interactive visualization creation with integrated data science capabilities
    Security Framework
    Role-based data and content access control with centralized governance, multi-tenancy, and single sign-on authentication mechanisms

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

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