Arcion Releases the Next Evolution of Real-Time CDC Data Pipeline Technology
Offers a unified, scalable, no-code solution for data replication from Oracle and other enterprise data sources.
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Arcion, creator of a cloud-native, CDC-based data replication platform, has released a new product that extends the platform’s capabilities to include a native log reader for Oracle databases, automated DDL-based schema evolution, and streaming column transformations. Combining with the end-to-end multithreaded architectural design, Arcion brings an up to 10x faster log extraction experience to Oracle users. The company also has expanded its range of source and target connectivity to include BigQuery, Azure-managed SQL Server, and Imply.
Arcion enables faster, more agile analytics and AI by replicating mission-critical transactional enterprise data to cloud-based data platforms in real time, at scale, and with guaranteed transactional integrity. As a fully managed, distributed data replication-as-a-service, Arcion allows customers to deploy zero-code, zero-maintenance pipelines for a wide variety of enterprise transactional and open source databases as well as cloud analytics platforms.
Arcion’s Native Oracle Log Reader is especially well-suited for enterprises that want to replicate large-scale data from Oracle to other modern databases. It is ideal for customers of all sizes, including large financial institutions, large retailers, telecom companies, and other enterprises seeking to replicate terabyte-scale data volume in a high-throughput fashion from their Oracle databases to Databricks, Snowflake, MySQL, PostgreSQL, SingleStore, Yugabyte, and other modern data platforms in a seamless experience.
The platform’s schema evolution feature has been updated to capture DDL changes from a source database and automatically replicate those schema changes in the target without the need to pause replication or update the pipeline configuration -- and without any manual intervention.
Column transformations offer flexible, no-code, high-performance data transformations on the fly. This eliminates many of the common engineering tasks and overhead associated with staging tables, custom code, and data engineering, reducing the time and effort required to create and maintain data transformations, while improving performance in high-volume applications.
“We see a lot of organizations building out highly complicated solutions to meet their data replication challenges,” said Rajkumar Sen, chief technology officer at Arcion. “They’re heavy on engineering and they still come with multiple limitations, performance bottlenecks, and complexity. With Arcion, enterprises can have guaranteed delivery and unlimited scalability, with features that simplify the process of creating, deploying, and managing real-time streaming data pipelines.”
For more information on Arcion Self-Hosted and Arcion Cloud, please visit www.arcion.io.