Advanced Replication

How to get started with Tungsten Replicator AMI, a high performance, real-time, transactionally consistent replicator for MySQL, MariaDB & Percona Server.

Elasticsearch provides a quick and easy method to aggregate data, whether you want to use it for simplifying your search across multiple depots and databases, or as part of your analytics stack. Getting the data from your transactional engines into Elasticsearch is something that can be achieved within your application layer with all of the associated development and maintenance costs. Instead, offload the operation and simplify your deployment by using direct data replication to handle the insert, update and delete processes.

Amazon Redshift has been providing scalable, quick-to-access analytics platforms for many years, but the question remains: how do you get the data from your existing datastore into Redshift for processing? Tungsten Replicator provides real-time movement of data from Oracle and MySQL into Amazon Redshift, including flexible data handling, translation and long-term change data capture.

There are many ways of moving data from source databases into your target system. Historically, the Extract, Transform, and Load (ETL) has been the method for moving data effectively between databases and analytics platforms. But ETL is no longer necessarily the right solution for the modern data-movement needs.

Native MySQL replication is simple and free, but can it handle recovery easily? What about complex topologies or advanced features like heterogeneous MySQL replication, read/write splitting, and seamless failovers? Watch this webinar where we compare MySQL native replication against Tungsten Replicator and Tungsten Clustering.