Continuent Tungsten Feature Matrix

 

Continuent
Tungsten

Tungsten
Replicator

Clustering

 

 

High Availability
Maintain continuous connectivity during database maintenance or failover  
Automatic failover that replaces a failed local master within seconds  
Manages seamless integration of failed nodes when corrected and available  

Multi-master, Multi-site
Deploy DB clusters across data centers or AWS regions  
Global real-time transaction processing between clusters and individual DBMS servers  
Real-time data aggregation of reporting data by replicating from multiple locations into a single database server without the need for data transformations  

Disaster Recovery (DR)

 

 

Protects against a site failure with easy-to-manage DR and failover  

Online Maintenance

 

 

Perform database maintenance and application upgrades without service interruptions  
Run large deployments with fewer DBA resources, resulting in significant cost savings  

Performance

 

 

Transparent load balancing operations across read slaves, reducing master load  
Five (5) times faster than native MySQL replication

Cloud Operations

 

 

Deploy Continuent Tungsten clusters in the Amazon cloud with a single command  
Augment your existing individual or clustered DBMS with a failover DR cluster in AWS  
Create DB clusters reaching over AWS Regions and Availability Zones  

Replication

 

 

MySQL Replication
Replication from MySQL to MySQL
5X faster than native MySQL replication
Global transaction IDs
Heartbeat and flush events
Transaction filtering
Time delay replication
Cross-version/cross-platform replication
Automated consistency checks
Multi-master replication

Oracle Replication

 

 

Replication from MySQL to Oracle  
Replication from Oracle to MySQL  
Replication from Oracle to Oracle  

Replication with Big Data

 

 

Replicate data in real-time from MySQL and Oracle to Hadoop
Replication from MySQL to Vertica  
Publish data in real-time from SQL to NoSQL, such as MongoDB  
Scale manageable data volumes to >50TB through arrays of DB clusters