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Tungsten Replicator 3.0 Delivers Real-Time Data Loading from MySQL, MariaDB and Oracle to Hadoop

To support decision-making with rapid data movement, the latest version of Continuent Tungsten Replicator, an open source replication solution for Hadoop, replicates transactions from operational database systems such as MySQL, MariaDB and Oracle to Hadoop in real-time. According to Continuent, this produces exact copies of tables and enables the execution of analytic views in Hadoop within multiple environments including Hive.

By automatically reading the database management system and forwarding transactions when they commit, Continuent says, Tungsten Replicator can reduce the load on operational systems, minimize the amount of data that needs to move between locations, and allow transactions to quickly enter the data warehouse. In addition, when used together with Apache Sqoop, businesses can provision information and then leverage Tungsten Replicator to replicate transactions incrementally in real-time, providing continuous data loading so existing data and changes can easily be applied into Hadoop.

Database Trends And Applications [April 1, 2014]

Continuent unveils Tungsten Replicator 3.O to enable data loading from MySQL, MariaDB and Oracle to Hadoop

Continuent Inc., vendor of open source database clustering and replication solutions, announced Tuesday immediate availability of Continuent Tungsten Replicator 3.0, a progressive, open source replication solution for Hadoop.

Recognizing that fast decision-making depends on real-time data movement, Tungsten Replicator 3.0 replicates transactions from operational database systems such as MySQL, MariaDB and Oracle to Hadoop in real-time. This produces carbon-copy tables and enables the execution of analytic views in Hadoop within multiple environments including Hive.

Continuent's database clustering and replication offerings allow enterprises to run business-critical applications on cost-effective open source software. Continuent Tungsten provides enterprise-class high availability, globally redundant data distribution and real-time heterogeneous data integration in cloud and on-premises environments.

By automatically reading the DBMS and forwarding transactions as soon as they commit, Tungsten Replicator reduces the load on operational systems, minimizes the amount of data that needs to move between locations, and allows transactions to quickly enter the data warehouse.

When used together with Apache Sqoop, businesses can provision information and then leverage Tungsten Replicator to replicate transactions incrementally in real-time. This provides continuous data loading so existing data and changes can easily be applied into Hadoop.

Computer Technology Review [April 1, 2014]

The “Next Level” of Data Warehousing: Real Time Integration

The explosion of Big Data has revolutionized the landscape of Data Management – whether organizations have a Big Data initiative or not. In addition to augmenting traditional proprietary sources of data with innumerable forms of structured and unstructured data, Big Data technologies (most notably Hadoop) can provide a degree of real-time integration that has transformed the concept of Data Warehousing into a much less expensive, more comprehensive platform for data aggregation.

Thanks to the replication and clustering prowess of vendors such as Continuent and its Continuent Tungsten and Tungsten Replicator 3.0 product, enterprises can reap a number of benefits from utilizing Hadoop as a mega Data Warehouse.

Dataversity [March 18, 2014]

Trend-setting products in Data in 2014 - Continuent Tungsten

DBTA's list of Trend-Setting Products for 2014. These products, platforms, and services range from widely accepted offerings that continue to evolve to meet the needs of their loyal following to breakthrough technologies that have just released and are in the early stages of adoption. However, they all seek to arm organizations with tools to address rapidly changing market requirements and represent a commitment to innovation.

Database Trends and Applications [December 2, 2013]

The Cloudcast #120 - OpenStack DBaaS “Trove”

In a podcast from the OpenStack Summit Aaron and Kenneth Hui speak to Edward Archibald about data bases in OpenStack and the ability to turn this into DBaaS.

The Cloud Zone [November 13, 2013]