datango

Datango

Datango is a no-code data pipeline and ETL tool that allows users to easily combine, transform and move data between various databases, cloud storage, APIs and applications. It provides an intuitive visual interface to build pipelines without coding.
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etl data-pipeline nocode

Datango: No-Code Data Pipeline and ETL Tool

Build data pipelines visually without coding, combining, transforming and moving data between databases, cloud storage, APIs and applications with Datango's intuitive interface.

What is Datango?

Datango is a no-code data pipeline and ETL (extract, transform, load) platform designed to help users easily move and combine data from different sources without needing to write any code. It provides a visual interface to build data workflows that extract data from databases, APIs, file storage, applications and more, allow transformations and loading into destination databases and apps.

Some key capabilities and benefits of Datango include:

  • Intuitive drag-and-drop interface to visually build data pipelines without coding
  • Pre-built connectors to databases like PostgreSQL, MySQL, SQL Server, cloud storage like S3, GCS, APIs like Salesforce, Marketo etc.
  • Transformation tools like filtering, joining, aggregation, cleansing to prepare data
  • Scheduling and orchestrating pipelines with just a few clicks
  • Monitoring pipelines runs and data flows within the UI
  • Collaboration features to share and deploy pipelines across teams
  • Auto-generated documentation of pipelines and data schema
  • Options to containerize pipelines for portability across environments

Datango speeds up the process of moving data and eliminates engineering bottlenecks for non-technical citizen data engineers. With a vast library of pre-built connectors and transformations, it allows faster data integration without dependencies on IT and engineering teams. Its easy-to-use interface makes ETL accessible for business users working with data and analytics.

Datango Features

Features

  1. Visual interface to build data pipelines
  2. Connect to databases, APIs, cloud storage
  3. Transform and combine data
  4. Schedule and orchestrate pipelines
  5. Monitoring and alerts
  6. Collaboration features

Pricing

  • Freemium
  • Subscription-Based

Pros

No-code approach

Intuitive and easy to use

Scalable

Saves time compared to coding pipelines

Connects to many data sources

Good for non-technical users

Cons

Limitations in complexity of pipelines

Less flexibility than coding pipelines

Steep learning curve for some advanced features

Can be expensive for large datasets


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