Traditional databases no longer scale to the demands of modern, data-intensive applications. In fact, more modern data applications are being migrated to the Cloud — powered by a distributed relational database like SingleStore.
However, migrating and replicating databases from traditional data engines like Oracle, MySQL etc. to a modern data platform like SingleStoreDB can no longer be done with legacy batch pipelines, which incur downtime and huge processing costs. Cloud database migration requires a zero-downtime approach, which is only possible with a streaming data pipeline powered by change data capture (CDC).
Streaming data pipelines, enabled by real-time change data capture (CDC), continuously transfer new and changed data into SingleStoreDB, increasing efficiency, scalability and performance compared with legacy batch pipelines. Such pipelines should be easy to set up, maintain, scale and auto-recover.
Join us with data replication platform Arcion to discover how easy it is to migrate and replicate transactional data from Oracle and MySQL into SingleStoreDB Cloud with just a few clicks.
The role of CDC in migrations and ongoing updates
Must-have elements for effective CDC
Benefits and use cases for Arcion Cloud
A demo of real-time CDC with Arcion Cloud from Oracle to SingleStoreDB Cloud
SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers.…