What is Datangle?
Datangle is a revolutionary DataOps platform designed to simplify and automate data processes. It enables users to promote pipelines and build no-code CI/CD workflows in minutes, making data management more efficient and accessible.
Features of Datangle
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Data Integration and Harmony: Connect your existing data stack by integrating tools like Databricks, Snowflake, GCP, Amazon Redshift, and GitHub.
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Version Control: Track changes and revert to previous versions of your workflows, environments, and pipelines for easy rollback.
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Real-Time Collaboration: Collaborate on workflows, raise pull requests, and add comments with real-time updates.
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No-Code Workflow Builder: Create complex and automated CI/CD for data pipelines in a visual canvas.
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Event-Based Triggers: Automate tasks based on internal or external schedules, data updates, or custom events.
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Environment Management: Automated testing, environment deployment, and pipeline promotion across multiple environments or data warehouses.
How to use Datangle
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Connect Your Tools: Integrate your existing data stack by connecting tools like Databricks, Snowflake, GCP, Amazon Redshift, and GitHub.
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Build Workflows: Use the no-code workflow builder to create complex and automated CI/CD for data pipelines in a visual canvas.
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Set Up Triggers: Create and automate tasks based on internal or external schedules, data updates, or custom events.
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Manage Environments: Deploy and promote pipelines across multiple environments or data warehouses.
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Collaborate: Work together on workflows, raise pull requests, and add comments with real-time updates.
Pricing of Datangle
Datangle offers a competitive pricing model designed to fit the needs of modern data teams. For specific pricing details, please visit the Datangle website or contact support@datangle.io.
Useful tips for using Datangle
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Leverage No-Code Features: Make the most of the no-code workflow builder to streamline your data operations without writing scripts.
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Utilize Version Control: Regularly track changes and use version control to revert to previous versions if needed.
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Collaborate Effectively: Use real-time collaboration features to ensure all team members are on the same page.
Frequently asked questions about Datangle
What is DataOps and how does it benefit data teams?
DataOps is a collaborative data management practice focused on improving the communication, integration, and automation of data flows between data managers and data consumers across an organization. It aims to improve the quality and reduce the cycle time of data analytics by adopting techniques from the DevOps methodology.
Who can use Datangle?
Anyone within a data team that wants an easy-to-use interface for managing and creating pipeline deployment workflows instead of writing YAML scripts on GitHub Actions, GitLab Pipelines, Bitbucket Pipelines, etc. It is accessible to data engineers, data scientists, analysts, and even non-technical users with its no-code interface.
How does Datangle connect to my existing data tools?
Datangle currently supports the following data warehouses: Databricks, Snowflake, Amazon Redshift, etc., and GitHub repository.
How can I start my workflow on Datangle?
Datangle supports event-based triggers and scheduling, which means you can trigger a series of actions based on environment, repository, or timed events.
How does DataOps differ from traditional data management?
Traditional data management focuses on siloed data storage and manual processes, while DataOps prioritizes automation, collaboration, and treating data pipelines like code for faster insights.
How is Datangle beneficial to the business?
Datangle allows data teams to set up no-code continuous integration and deployment of data pipelines, leading to faster release cycles, fewer errors, improved data quality, and automated environment provisioning.
For more information, visit the Datangle website or contact support@datangle.io.