Jello
Jello is an open-source tool for building data pipelines. It provides a simple configuration language and UI for constructing pipelines that move and transform data.
Jello: Open-Source Data Pipeline Builder
An open-source tool for building data pipelines with a simple configuration language and intuitive UI, enabling users to construct and manage pipeline workflows efficiently.
What is Jello?
Jello is an open-source data pipeline tool designed to make building and managing data workflows easy and intuitive. Here are some key things to know about Jello:
- Visual Programming Model - Jello provides a drag-and-drop UI and configuration language for visually constructing data pipelines without needing to write code.
- Extensibility - Jello has a plugin architecture that makes it easy for developers to extend its processing capabilities.
- Cloud Portability - Pipeline configurations can be exported and imported across instances. Jello provides out-of-the-box support for major cloud platforms.
- Monitoring & Alerting - Jello comes with built-in logging, metrics, and alerts for monitoring pipeline runs and debugging issues.
- Support for Batch & Streaming - Pipelines can process bounded batch data or unbounded streaming data sources.
- Community-Supported - Jello has an active open source community contributing plugins, integrations, and support.
Overall, Jello aims to provide an easy-to-use and flexible platform for managing critical data processing needs.
Jello Features
Features
- Visual programming interface for building data pipelines
- Support for scheduling and orchestrating pipelines
- Large library of pre-built connectors and transformations
- Integration with databases like MySQL, Postgres, etc
- Real-time data processing capabilities
- Cloud-native - runs on Kubernetes and the major cloud providers
- Open source and free to use
Pricing
- Open Source
- Freemium
Pros
Intuitive drag and drop interface
No coding required
Managed and scalable pipelines
Connectors for many data sources and applications
Active open source community
Free and open source
Cons
Less flexibility than coding pipelines manually
Limited transformation capabilities compared to ETL tools
Not as performant as pure data streaming platforms
Basic functionality in free version, advanced features paid
Steep learning curve for complex use cases
Official Links
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