VMware Continuent 5.0 is a complete data replication solution that includes all the functionality you need at one low price. In this webinar-on-demand, you’ll see how VMware Continuent delivers:  Migration. Replicate from an old version of Oracle, often running on non-Linux platform (Windows, AIX, HP-UX, Solaris), to a new version of Oracle (often running in Linux). VMware Continuent supports

Practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently when replicating from MySQL and Oracle into Amazon Redshift, HP Vertica and Hadoop.

Webinar-on-demand. Recorded 07/23/15.

Continuing from our April 2015 release of the VMware Continuent 4.0 products is a new 4.0.1 release that provides important fixes to both the replication and MySQL clustering.For full details, read the full release notes, available at the links below, but the highlights are as follows: VMware Continuent for Replication and Data Warehousing

Expanded support for EBS Snapshots to enable MySQL table

Analyzing transactional data is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever-increasing storage. Although there are many techniques available for loading data, getting effective data in real-time into your data warehouse store is a more difficult problem. VMware Continuent provides

It’s with great pleasure we announce the general availability of VMware Continuent 4.0 – a new suite of solutions for clustering and replication of MySQL to data warehouses.

VMware Continuent enables enterprises running business-critical database applications to achieve commercial-grade high availability (HA), globally redundant disaster recovery (DR) and performance scaling. The new suite

Analyzing transactional data is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever-increasing storage. Although there are many techniques available for loading data, getting effective data in real-time into your data warehouse store is a more difficult problem.In this webinar-on-demand we showcase

Business Wire  Oracle Open World 2014, Booth # 430- Continuent, Inc., a leading provider of open source database clustering and replication solutions, today announced Continuent Tungsten 3.0, a powerful solution that combines advanced clustering and replication technologies to meet the transaction processing and analytic needs of the entire business. Continuent Tungsten 3.0 enables constant,

Get a preview of the next advance in data management technology!  Continuent Tungsten 3.0 brings the power of advanced clustering and replication to offer data management needs for your entire business including MySQL high availability, disaster recovery, multi-master operation, and real-time data warehouse loading. With Continuent Tungsten you can apply the full power not just of MySQL but all

Over the past few months, I’ve seen an increase in the following use case while working on performance and schema review engagements:

I need to store exponentially increasing amounts of data and analyze all of it in real-time.

This is also known simply as: “We have big data.” Typically, this data is used for user interaction analysis, ad tracking, or other common click stream applications. However, it can also be seen in threat assessment (ddos mitigation, etc), financial forecasting, and other applications as well. While MySQL (and other OLTP systems) can handle this to a degree, it is by no means a forte. Some of the pain points include:

• Cost of rapidly increasing, expensive disk storage (OLTP disks need to be fast == $$)
• Performance decrease as the data size increases …