September 4, 2024

Case Study: Major DevOps Provider Seeks to Add Databricks Capabilities to Core Product

Explore how a major software development company adds Databricks capabilities to its core product to provide customers with a seamless integration of Databricks Asset Bundles, boost customer satisfaction, and enhance overall platform value by partnering with Entrada.

Databricks Capabilities

Challenge

A major cross-platform DevOps platform company had the goal to expand its platform’s capabilities by enabling customers to leverage Databricks Asset Bundles (DAB) natively. This integration was necessary to enhance the user experience and streamline the CI/CD process for customers who rely on both their platform and Databricks for development and deployment needs. Ideally, this solution would allow seamless integration of Databricks Asset Bundles into their platform, supporting a range of Git and CI/CD actions without requiring extensive custom code.

Solution

The client partnered with Entrada to assist in developing a CI/CD connector that allows the client’s customers to leverage Databricks Asset Bundles natively within their platform. The solution included:

Native Support for Core Git and Databricks Asset Bundle Actions: The newly developed connector enabled seamless integration of all core Git actions and Databricks Asset Bundle functionalities directly within the client’s platform which would provide users with a unified experience and eliminating the need for external tools or manual integration steps.

Advanced CI/CD Pipeline Capabilities: Entrada leveraged the power of Databricks Asset Bundles to develop complex CI/CD pipeline capabilities within the client’s platform. This integration allowed users to build, test, and deploy their code more efficiently, leveraging Databricks’ advanced data processing and machine learning capabilities.

Integration with Client’s LLM for Streamlined Onboarding: To ensure ease of use and a smooth onboarding experience for customers, Entrada integrated the new CI/CD connector with the client’s Large Language Model (LLM). This integration provided guided setup and usage instructions, making it easier for customers to adopt and utilize the new capabilities without extensive training or support.

    Results

    Through this partnership, the client expanded its platform’s capabilities, providing customers with seamless integration of Databricks Asset Bundles, boosting customer satisfaction, and enhancing overall platform value:

    20% Reduction in Operational Expenses: The streamlined integration and enhanced CI/CD capabilities led to a 20% reduction in operational expenses related to Databricks CI/CD pipeline development. This cost savings resulted from reduced complexity, lower maintenance requirements, and improved efficiency in pipeline management.

    15% Increase in Revenue: The additional connector capabilities enhanced the value of the client’s platform, leading to a 15% increase in revenue as customers adopted the new features to optimize their workflows.

    65% Reduction in Custom Code and Effort: By enabling native support for Databricks Asset Bundles, the solution reduced the amount of custom code and manual effort required to create DAB jobs by 65%, freeing up development resources and reducing time-to-market for new features.

    About Entrada
    Entrada is a Databricks-focused consulting and implementation partner backed by Databricks Ventures. Entrada harnesses the power of Databricks to help customers accelerate their AI + data initiatives. Our expertise in AI/ML, Databricks, and analytics is centered around industry-centric solutions. Our mission is to simplify complex data + AI challenges and support end-to-end transformations, delivering future-ready solutions fast.

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