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Easily create, manage, and execute data pipelines using declarative transformations

DataYoga is an end-to-end real-time streaming platform to extract, transform, and load (ETL) data using a low-code transformation engine

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Low-code

Create and manage data pipelines in the cloud or on-prem, without the need for complex infrastructure or coding

Connectors

DataYoga includes connectors to to popular source and targets, including relational databases, cloud storage, NoSQL databases, streaming platforms and more. See full list of connectors

Everyday tasks

Perform a variety of ETL operations, including data cleansing, enrichment, and aggregation.

Delivery guarantees

DataYoga is a real time platform and tracks every message to ensure nothing gets lost

Performance

Multi-threaded, multi-processes, and async. The runtime engine enables a variety of processing strategies to combine consistency and scalability

Development lifecycle

Offers built-in error handling and monitoring capabilities, allowing users to quickly identify and troubleshoot issues within the data pipelines.

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A growing collection of reusable blocks

The DataYoga pipelines combine reusable business logic to connector to sources and sinks, filter and enrich data, transform data structures, and integrate with AI and ML frameworks. New blocks are constantly being added by the community

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Kimberly Gush
Data Scientist, GMM ltd.
“We were able to quickly integrate our legacy Oracle database into Kafka. The transformation language was simple and allowed us to define our mapping rules and several steps of enrichment using plain SQL and YAML definitions. Coding this manually would have taken us weeks, defocusing us from our core activities! ”
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100% Open Source

DataYoga is released under the permissive Apache license. Check out our Github repo!

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Your data integration partners

We provide professional services for data integration to build and maintain data pipelines throughout the project lifecycle. From planning, through design and implementation.

Contributors and Supporters

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