Home Solutions Artificial intelligence Cloud-agnostic Semantic Layer

Semantic layer features

CONSOLIDATE DATA

Single source for data marts, metrics and data assets

API INTEGRATION

Seamlessly integrate custom dashboards

INFRASTRUCTURE-AS-CODE SOLUTION

Accelerate semantic layer deployment

How it works

Experience the full spectrum of semantic layer capabilities, including metrics store, data warehouse, datasets, business intelligence dashboards, embedded analytics UI application, and AI-powered search. Leveraging the power of Cube for the metrics store with its analytical API, Amazon Redshift for data storage, ThoughtSpot as the business intelligence platform, and React for embedded analytics, our solution offers a comprehensive and seamless experience. Moreover, our platform deployment is fully automated using CloudFormation for AWS and Terraform for other hyper scalers, ensuring a hassle-free setup on your preferred cloud infrastructure.

Learn more

Enterprise data platform that drives business growth

Deploy production-ready data platform services in weeks

Let's talk data and AI

Let’s talk

    This field is required.
    This field is required.
    This field is required.
    By sharing, I consent to the use or processing of my personal information by Grid Dynamics for the purpose of fulfilling this request and in accordance with Grid Dynamics’s Privacy Policy. For more details about how to opt-out, please refer to the Privacy Policy and Terms & Conditions.
    Submitting
    quote icon

    We consistently turn to Grid Dynamics for our most complex challenges. Their Data Scientists and AI Engineers are top-notch—highly experienced and deeply knowledgeable.

    Sr. Engineering Director, global auto parts retailer

    Geometric composition with teal car wheel

    Thank you!

    It is very important to be in touch with you.
    We will get back to you soon. Have a great day!

    check

    Thank you for reaching out!

    We value your time and our team will be in touch soon.

    check

    Something went wrong…

    There are possible difficulties with connection or other issues.
    Please try again after some time.

    Retry