Diyotta 4.0
Diyotta 4.0 is an open-source data integration platform focused on scalability and flexibility. It allows building data pipelines to move and transform data between various sources and destinations.
opensource
data-pipelines
etl
Diyotta 4.0: Open-Source Data Integration Platform
An open-source data integration platform for scalable and flexible data pipeline building, moving and transforming data between various sources and destinations.
What is Diyotta 4.0?
Diyotta 4.0 is an open-source data integration and ETL (Extract, Transform, Load) platform optimized for big data use cases. It provides a scalable, flexible, and resilient data pipeline to move and transform data between various sources like databases, object stores, message queues, REST APIs, files, etc. and destinations like databases, data warehouses, lakes, and more.
Key capabilities and benefits:
- Scalable - leverages Apache Spark for distributed data processing
- Flexible - connect to wide variety of data sources and destinations
- Resilient - checkpointing, retry policies handle failures
- Easy to use - both code and configuration based set up of pipelines
- Monitoring - track pipeline metrics and logs
- Lineage tracking - understand data flow through the system
- Open source - Apache 2.0 license
Diyotta is well suited for building modern and robust data integration layers to move batch and streaming data at scale. Its separation of pipeline logic, runtime configuration makes it modular and portable across environments.
Diyotta 4.0 Features
Features
- Distributed architecture for scalability
- Support for batch and real-time data integration
- Plugin architecture to add custom data sources/destinations
- Transformation engine for manipulating data
- Web-based interface for managing pipelines
- Command line interface and REST API
- Metadata management and data lineage tracking
Pricing
- Open Source
Pros
Highly scalable
Flexible and extensible
Can handle diverse data sources
Active open source community
Free and open source
Cons
Steep learning curve
Limited out-of-the-box functionality
Need programming skills to fully utilize
Not as user friendly as commercial ETL tools
Official Links
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