Make data Engineering painless
A low-code Big data Integration and Engineering tool that supports essentially all big data frameworks: batch, real-time, and streaming. Increase your productivity with easy-to-use graphical user interface.
Minimize time and complexity to ingest, preprocess and blend data sources to deliver high quality data for high quality insights.
With YAVA247 Data Engineering & Integration Tools, everyone is a Data Engineer
- Provides a unified approach to data integration and engineering
- Integrates your data from all major Big Data frameworks and makes it easily consumable by your data team
- Reduces time to market and delivers high-quality data for business insights
- Helps you build mission-critical Big data workflows on-time, and on-budget without losing any business value
Visual drag and drop interface, simplifying the complexity of data integration and engineering.
Build the workflow once, and run anywhere. Seamlessly switch between different framework, including Spark, Flink, Beam, and more.
Integrate essentially any data format from any data source, with batch, real time, and streaming processing.
The same look and feel for various data processing framework, giving you the ultimate simplicity and easiness.
Accelerate Data Onboarding
Supports batch and streaming data processing, multi-framework : MapReduce, Spark, Beam, Tez, Flink, any data source format : JSON, Kafka, Hive, HBase, Parquet, Avro, ORC, and many more.
Build Once Run Anywhere
Seamlessly switch between framework, migrate from one platform to another effortlessly. Build Big data pipelines and run it using any Big data engine (Apache Spark, Flink, Beam, and many more) Different framework with the same look and feel for ultimate simplicity and convenience.
Visual Drag and Drop Interface to design and compile enterprise data workflows. Simplify the complexity of data integration and engineering.
Break the Limitation, Maximize Your Data Values
Add more functionalities easily by using User Defined Function and reuse it in your workflows. No need to rewrite them everytime.