Continuent Tungsten Feature Matrix
- Details
- Parent Category: Corporate
- Published on Wednesday, 27 May 2009 12:35
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Tungsten Clustering |
Tungsten Replication |
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Clustering |
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| 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 |
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| 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) |
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| Protects against a site failure with easy-to-manage DR and failover | √ | |
Online Maintenance |
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| Perform database maintenance and application upgrades without service interruptions | √ | |
| Run large deployments with fewer DBA resources, resulting in significant cost savings | √ | |
Performance |
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| Transparent load balancing operations across read slaves, reducing master load | √ | |
| Five (5) times faster than native MySQL replication | √ | √ |
Cloud Operations |
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| 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 | √ | |
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Replication |
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| 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 |
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| Replication from MySQL to Oracle | √ | √ |
| Replication from Oracle to MySQL | √ | √ |
| Replication from Oracle to Oracle | √ | √ |
Replication with Big Data |
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| 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 | √ | √ |
