Datangle (Beta)No-code CI/CD workflow builder for your data

Datangle | DataOps, Simplified

Automate data processes, promote pipelines, and seamlessly build no-code CI/CD workflows in minutes.

Key Features

• Data Integration and Harmony: Connect your existing data stack by integrating tools like Databricks, Snowflake, GCP, Amazon Redshift, and GitHub.
• Version Control: Track changes and revert to previous versions of your workflows, environments, and pipelines for easy rollback.
• Real-time Collaboration: Collaborate on workflows, raise pull requests, and add comments with real-time updates.
• No-code Workflow Builder: Create complex and automated CI/CD for data pipelines in a visual canvas.
• Event-based Triggers: Automate tasks based on internal or external schedules, data updates, or custom events.
• Environment Management: Automated testing, environment deployment, and pipeline promotion across multiple environments or data warehouses.

Use Cases

• Modernizing Data Operations: From pipelines and environments to testing and quality checks, Datangle does it all.
• Pipeline Promotion: Streamline the promotion of data pipelines.
• Data Quality: Ensure high data quality with automated checks.
• Environment Provisioning: Simplify the provisioning of environments.
• Increased Productivity: Unlock the full potential of your data team by freeing up their time for strategic work.
• Reduce Errors: Eliminate human error from your data pipelines for reliable results.
• Quicker Insights: Get data into production quicker with automated deployments.
• Improved Collaboration and Synergy: Work together effectively on data pipelines with clear version control and communication tools.
• Reduced Costs: Save time and resources by streamlining your data operations.

Pricing

Datangle offers flexible pricing plans tailored to the needs of different teams and organizations. Contact us for detailed pricing information and to find the plan that best suits your requirements.

Teams

Datangle is designed for modern data teams, including data engineers, data scientists, analysts, and even non-technical users. Our no-code interface makes it accessible for anyone within a data team to manage and create pipeline deployment workflows without writing complex scripts.