Neoflex Datagram is a data integration platform. You can use the Neoflex Datagram visual editor to design applications for processing data from different sources, such as Oracle, Microsoft SQL Server, PostgreSQL, Hadoop, HBase, XML, Excel, and CSV. Neoflex Datagram supports both batch and stream processing.
An application, which is developed as a collection of diagrams, is converted to code in Scala, then to executable modules, and then run on Apache Oozie and Apache Livy.
Streaming mode is supported by Apache Kafka and Spark Streaming. Integration with BRMS lets you apply business rules to event streams in real time. To use Yandex DataProc Serverless Spark, install Neoflex Datagram@DataProc.
Advantages
- View the contents and structure of data sources and sinks.
- Load data directly from sources without defining intermediate transformation steps.
- Automatically validate data after transformation.
- Track data stream object sources down to the individual fields (lineage).
- Partially convert and display intermediate results, individual transformation steps, and branches.
- View generated application code.
- Convert complex queries to code thanks to Spark Catalyst Optimizer support.
- Uploading data to analytics systems.
- Database migration to the cloud.
- Visual Data Pipelines design.
- Stream data processing.
- Development of big data stack solutions.
Neoflex
Neoflex provides technical support to Datagram users in Yandex.Cloud. You can contact technical support by email at support-datagram@neoflex.com. Support engineers are available to take your requests between 9 AM and 6 PM on weekdays.
Yandex Cloud
Yandex Cloud technical support responds to requests 24 hours a day, 7 days a week. The types of requests handled and the relevant response times depend on your pricing plan. You can activate paid support in the management console. Learn more about requesting technical support.
Yandex Cloud does not provide technical support for this product. If you have any issues, please see the developer’s resources.
