Vertica Blog


Introducing the Connector for Apache Spark

In Vertica version 8.0.0, we added integration for Apache Spark through our HPE Vertica Connector for Apache Spark. This is a fast parallel connector that allows you to transfer data between Apache Spark and Vertica.

What’s New in 7.2.3: Apache Parquet Reader

In this installment of the What’s New series, we take a look at the new Parquet Reader. Now you can quickly access your Parquet-formatted Hadoop data!


The Right Tool for the Job: Using Apache Hadoop with Vertica for Big Data Analytics

I have an entrepreneur friend who used to carry a butter knife around.  He claimed this “almighty” tool was the only one he ever needed!  While the butter knife does serve a wide range of purposes (especially with a stretch of the imagination), in practice it doesn’t always yield optimal results.  For example, as a screwdriver, it may work for common screws, but certainly not a Phillips (unless you push down very hard and hope not to strip the screw).  As a hammer, you may be able to drive finishing nails, but your success and mileage may vary.  As a pry bar, well, I think you get my point!  Clearly one tool isn’t sufficient for all purposes – a good toolbox includes various tools each fulfilling a specific purpose.

What’s New in 7.2.3: New Apache Hadoop Integration Features

Vertica 7.2.3 adds new features to better integrate Vertica and Apache Hadoop. Learn about direct HDFS access and HCatalog partition pruning here!

What’s New in 7.2.2? Apache Kafka Integration

In Vertica version 7.2.2, we’ve enhanced the integration between Vertica and Apache Kafka. In addition to supporting Apache Kafka 0.9, Vertica 7.2.2 introduces features that let you connect to multiple Kafka clusters, as well as process your incoming data. Read on to learn more.

Unlimited Access to Vertica for SQL on Hadoop for Free!

Join the Early Adopter Program for Vertica for SQL on Hadoop to experience the full power of Vertica for SQL on Hadoop without any commitments.

Facebook and Vertica: A Case for MPP Databases

I have just come back from a business trip to China where I visited several large Chinese telecom customers to talk about the recent big Vertica win at Facebook. Two questions these customers had constantly asked me were: What’s the future of MPP databases? Will Hadoop become one database that rules the whole analytic space?