Develop Databricks Projects Faster
with an Intuitive Visual Designer

1
Visual IDE for Databricks

With Visual Flow, you can effortlessly build and deploy data jobs and pipelines on Databricks using our visual, intuitive, drag-and-drop IDE.

2
Native Spark Code for Databricks

Harness the full power of Spark Scala code for Databricks effortlessly. Visual Flow lets you generate high-quality, efficient, and native Spark Scala code, so you can focus on your data, not the code

3
Interactive

Visual Flow is not just about building pipelines; it’s about making development an interactive experience. Develop, execute, and monitor your jobs and pipelines in real-time, ensuring that you’re always in control.

4
Create and Build Your Standards

Visual Flow introduces visual elements, designed to simplify complex patterns and ensure scalability for your organization. Create visual elements for sources, natively connect to targets, and improve transformations, all in one place.

Cost-Efficiency: Standardized ETL Jobs on Databricks

At Visual Flow, we understand that cost efficiency is a top priority.
That’s why we’ve made it our mission to help you optimize your ETL jobs on Databricks.

1

Standardized Code for Cost Savings

Visual Flow for Databricks empowers you to standardize and reuse multiple visual elements across various pipelines, ensuring that each job runs efficiently and consistently. By adhering to these standards, you can significantly reduce operational costs without compromising quality.

2

Predefined UI Elements for Smart Savings

Visual Flow provides predefined UI elements, designed to streamline your ETL processes. These elements simplify your workflow and contribute to cost savings by reducing the time and resources required to manage and run your jobs on Databricks.

Embrace cost-efficient ETL operations with Visual Flow – where standardized code and predefined UI elements pave the way for substantial savings in your Databricks environment.

3

Build and Manage ETL Pipelines running on Databricks with Visual Flow

Put powerful and native ETL at the fingertips of any data professional.
Our simple, drag-and-drop UI allows you to create high-performing ETL jobs and pipelines.

4

Accelerate Your Databricks Data Projects with Visual Flow

Visual Flow isn’t just a tool; it’s a catalyst for all your data teams.
Easily operationalize code and automate critical Spark operations through a central platform, ensuring your projects run smoothly and efficiently.

1

Standardized Code for Cost Savings

Visual Flow for Databricks empowers you to standardize and reuse multiple visual elements across various pipelines, ensuring that each job runs efficiently and consistently. By adhering to these standards, you can significantly reduce operational costs without compromising quality.

2

Predefined UI Elements for Smart Savings

Visual Flow provides predefined UI elements, designed to streamline your ETL processes. These elements simplify your workflow and contribute to cost savings by reducing the time and resources required to manage and run your jobs on Databricks.

Embrace cost-efficient ETL operations with Visual Flow – where standardized code and predefined UI elements pave the way for substantial savings in your Databricks environment.

3

Build and Manage ETL Pipelines running on Databricks with Visual Flow

Put powerful and native ETL at the fingertips of any data professional.
Our simple, drag-and-drop UI allows you to create high-performing ETL jobs and pipelines.

4

Accelerate Your Databricks Data Projects with Visual Flow

Visual Flow isn’t just a tool; it’s a catalyst for all your data teams.
Easily operationalize code and automate critical Spark operations through a central platform, ensuring your projects run smoothly and efficiently.

Connecting Visual Flow to Databrick

This guide will walk you through the steps required to establish this connection effectively.

1

Prerequisites:

Visual Flow: Ensure you have your Visual Flow set up and running. Read here on how to set up and install Visual Flow on AWS, Azure or GCP.
https://visual-flow.com/documents#documentation

Visual Flow provides a user-friendly interface for designing workflows and user interactions.
With Visual Flow, you can effortlessly build and deploy data jobs and pipelines on Databricks using our visual, intuitive, drag-and-drop IDE.

2

Prerequisites:

Databricks account: You need access to a Databricks workspace.

Databricks provides a unified analytics platform for big data and AI.

Databricks workspace URL: You need a URL to specify a Databricks Workspace you are going to connect to. Refer to the documentation page Considerations for deployment naming to learn how to.

Personal access token: Obtain a personal access token for your Databricks workspace user (service principal). This token will authenticate your requests to Databricks APIs. Refer to the documentation pages for more details:

3

Steps to Connect Visual Flow to Databricks:

To connect Visual Flow to your Databricks workspace perform the following steps:

  1. Log in to your Databricks account.
  2. Ensure your Databricks workspace is configured and running as per your requirements. Get Databricks workspace URL.
  3. Generate a Personal access token if you haven’t already.
  4. Click the “+” button to create a new project. In the Create Project window specify Databricks workspace URL and Personal access token and click the “Save” button.
1

Prerequisites:

Visual Flow: Ensure you have your Visual Flow set up and running. Read here on how to set up and install Visual Flow on AWS, Azure or GCP.
https://visual-flow.com/documents#documentation

Visual Flow provides a user-friendly interface for designing workflows and user interactions.
With Visual Flow, you can effortlessly build and deploy data jobs and pipelines on Databricks using our visual, intuitive, drag-and-drop IDE.

2

Prerequisites:

Databricks account: You need access to a Databricks workspace.

Databricks provides a unified analytics platform for big data and AI.

Databricks workspace URL: You need a URL to specify a Databricks Workspace you are going to connect to. Refer to the documentation page Considerations for deployment naming to learn how to.

Personal access token: Obtain a personal access token for your Databricks workspace user (service principal). This token will authenticate your requests to Databricks APIs. Refer to the documentation pages for more details:

3

Steps to Connect Visual Flow to Databricks:

To connect Visual Flow to your Databricks workspace perform the following steps:

  1. Log in to your Databricks account.
  2. Ensure your Databricks workspace is configured and running as per your requirements. Get Databricks workspace URL.
  3. Generate a Personal access token if you haven’t already.
  4. Click the “+” button to create a new project. In the Create Project window specify Databricks workspace URL and Personal access token and click the “Save” button.

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