Replicator

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.

Continuent is pleased to announce that Tungsten Clustering 6.0.4 and Tungsten Replicator 6.0.4 are now available!

Our v6.0.4 release fixes a number of bugs and introduces some new features, with improvements across the board in a variety of different components.

Some of the key improvements include:

When Tungsten Replicator extracts data, the information that has been extracted is written down into the Tungsten History Log, or THL.

We are growing!

Consequently, Continuent needs additional talented staff.

We are currently looking for a person who would be a good fit for our "Database Clustering Technical Sales & Support Engineer" position, in the US Pacific timezone.

Continuent is pleased to announce that Tungsten Clustering 5.3.4 and Tungsten Replicator 5.3.4 are now available!

Release 5.3.4 was released shortly after 5.3.3 due to a specific bug in our reporting tool tpm diag. All of the major changes except this one fix are in the 5.3.3 release.

Our 5.3.3/4 release fixes a number of bugs and has been released to improve stability in certain parts of the products.

Highlights common to both products:

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.

Continuent is pleased to announce that Tungsten Clustering 6.0.3 and Tungsten Replicator 6.0.3 are now available!

Our 6.0.3 release fixes a number of bugs and introduces a few new features, with improvements across the board in a variety of different components.

Some of the highlights common to both products:

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 internals of the Tungsten Replicator from the perspective of data flow processing.

A pipeline (or service) acts upon data.

Pipelines consist of a variable number of stages.

Amazon Redshift has been providing scalable, quick-to-access analytics platforms for many years, but the question remains: how do you get the data from your existing datastore into Redshift for processing? Tungsten Replicator provides real-time movement of data from Oracle and MySQL into Amazon Redshift, including flexible data handling, translation and long-term change data capture.

Join our advanced training session, Tuesday 11/28, as we look at the process of installing Tungsten Replicator to extract data from an Oracle database, via the off-board deployment model.