Technology partner

Accelerate your Databricks SQL data lakehouse

Agile Data Engine is a data product platform designed for implementing modeled and multi-layered medallion architecture for operational analytics and AI/ML use cases on Databricks SQL.

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Build your data platform for clean data and resilient architecture

Agile Data Engine uses Databricks SQL to help you build dynamic, resilient data platforms and products. You'll have better-structured clean data, whether you need it for for radically optimized operational analytics or preventing degradation in robust AI/ML use cases. 

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Databricks SQL <3 Agile Data Engine

Make the most of your data lakehouse with a cutting-edge SQL-generation and orchestration platform.

 
 
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    Data product framework for operational analytics

    ADE's innovative technology opens the door to continuous deployment with automatic SQL schema changes and optimized data load processing for business real-time use cases.

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    Resilient data architecture for AI/ML use cases

    Model once and use as many times as you want. ADE takes you to a resilient and robust data architecture with automatic CI/CD. Achieve more reliable AI/ML use cases that adapt to evolving business requirements.

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    The newest and fastest-growing partnership

    Our partnership with Databricks is aimed at delivering world-class data product management on Databricks SQL. Connections tested and proven on AWS and Azure.

Operational analytics and AI/ML use cases in an all-in-one platform?

Yes.

 
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Supercharge your Data Lakehouse efficacy

Check out why Agile Data Engine is a perfect match for Databricks SQL

1

Agile by design

Leave dynamic data flow generation to the data warehouse automation features of ADE. Accelerate data product delivery in Databricks' medallion architecture.

2

Data modeling and transformations

Find missing efficiencies by basing your data models, loads, transformations, rules, and dependencies on powerful modeling methodologies like Data Vault and dimensional modeling.

3

Continuous deployment

Built-in CI/CD pipelines with automated SQL code generation, schema changes, and documentation remove human errors and help you avoid complex SQL statements and costly data reloads.

4

Seamless workflow management

Load your data to Databricks SQL using intelligent metadata-driven workflow generation and orchestration. Integrate to backend systems with simply effective API connectivity.

Make data magic with ADE and Databricks SQL