Real-time data integration

The benefit of the real-time data integration is that it can transmit accurate and timely data between systems so users can make better-informed business decisions in real-time. There are a few challenges to this approach. Specifically, the solution must provide users with the most current data without putting a strain on the production systems.

Real-Time Data Integration with Etlworks

Etlworks real-time data integration technology relies on the native change data capturing (CDC) features of the source databases such as MySQL, PostgreSQL, Oracle, SQL Server, DB2, MongoDB, and (optionally) real-time Kafka streams. Our CDC engine is powered by the Debezium - an open source distributed platform for change data capture. Our software is horizontally scalable and can be deployed to multiple nodes in a distributed cluster providing a fault-tolerant, enterprise-grade solution.

Real-Time and Batch, Any-to-Any Data Integration

Etlworks is a complete data integration platform with intuitive web-based interface that can be used to build all sorts of integration scenarios. The benefits of using Etlworks include that it is:

  • Cloud-native. Etlworks is a cloud-first application, which seamlessly integrates cloud and on-premise data. In Etlworks, you can build batch, micro-batch, real-time, cross-cloud and on-premise-to-cloud data pipelines.
  • Any-to-Any. Etlworks provides support for data movement and integration between all major SQL and NoSQL databases, data warehouses, business applications, well-known and custom APIs, big-data targets such as Apache Hive, and real-time Kafka streams.
  • Simple and Reliable. Etlworks includes ready-to-use templates for change replication and real-time CDC for all major databases, data streaming from message queues to any target, and much more. The data integration flows are built using simple and unintuitive web-based UI. Users can create, test and schedule flows with just a few mouse clicks and monitor running flows in real-time.

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