Start your free 14-day trial of the new Continuent Tungsten Replicator (AMI) - the most advanced & flexible replication engine for MySQL, MariaDB & Percona Server, including Amazon RDS MySQL and Amazon Aurora.
Real time database replication is a must for clustering and other key business purposes, like reporting. There are a number of replication technologies available for MySQL, and some are even bundled into various solutions. When choosing a replication methodology, it is paramount to understand just how the data moves from source to target. In this blog post, we will examine how asynchronous, synchronous, and "semi-synchronous" replication behave when used for clustering. Also, we will explore how replication affects database performance and data availability.
In this blog post, we explore the correct way to implement bi-directional Tungsten Replication between AWS Aurora and Tungsten Clustering for MySQL databases.
The replicator is a critical piece of the Tungsten Clustering solution for MySQL / MariaDB, as well as its own stand-alone data replication product. Automatic recovery enables the replicator to go back online in the event of a transient failure. In this blog, we discuss how to enable Autorecovery.
From time to time we are asked how to check whether or not there are data discrepancies between Master/Slave nodes within a MySQL (or MariaDB) cluster that's managed with Tungsten Clustering.
Clickhouse is a relatively new analytics and datawarehouse engine that provides for very quick insertion and analysing of data. Like most analytics platforms it's built on a column-oriented storage basis and unlike many alternatives is completely open source. It's also exceedingly fast, even on relatively modest platforms.
The Tungsten Replicator is an extraordinarily powerful and flexible tool capable of moving vast volumes of data from source to target.
In this blog post we will discuss one specific aspect of the THL (Transaction History Log) - the METADATA unsafe_for_block_commit flag.
The Tungsten Replicator is an extraordinarily powerful and flexible tool capable of moving vast volumes of data from source to target.
The Tungsten Replicator is an extraordinarily powerful and flexible tool capable of moving vast volumes of data from source to target.
In this blog post we will discuss the basics of how to implement and use filters in the Tungsten Replicator.
The Tungsten Replicator is an extraordinarily powerful and flexible tool capable of moving vast volumes of data from source databases to various targets like Vertica, Kafka, Redshift and so on.
This distributed topology, perfect for multi-region SaaS models, allows you to have all the benefits of high availability with centralized writes and local reads for all regions. Latency is limited only by the WAN link and the speed of the target node.
Apache Cassandra provides a scalable and fast environment for data processing and capture. Because of the scalable and relatively flexible nature, it is being used for everything from product catalogues to data storage for logging and for IoT to log and analyze data. Moving your data into Cassandra from your traditional store?
