Vertica Blog

Partner Integration

How Cisco and Vertica empower high performance analytics for the most demanding workloads

This blog post was authored by Steve Sarsfield. Hadoop and HDFS is capable of storing massive volumes of data, but performing analytics on Hadoop can be challenging. Despite the apparent low-cost cost of Hadoop, it is best suited for data lake and data science solutions, where the number of concurrent analytical users is low. In […]

Integrating with Apache Spark

This blog post was authored by Soniya Shah. The Vertica Connector for Apache Spark is a fast parallel connector that allows you to use Apache Spark for pre-processing data. Apache Spark is an open-source, general purpose, cluster-computing framework. The Spark framework is based on Resilient Distributed Datasets (RDDs), which are logical collections of data partitioned […]

Modernizing Your Data Warehouse with “Sparkitecture”: Vertica at Strata + Hadoop World Conference

In September, Jack Gudenkauf and Deepak Majeti of the HPE Big Data Platform spoke about building enterprise architecture for modern warehouses at the Strata + Hadoop World Conference. Read this post to learn more!

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!


SAP Data Services Offers New Vertica Connector

The latest release of SAP Data Services introduces new technology that makes it easier to integrate SAP with HPE Vertica.

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!

Jump Start your BI Dashboard Development with Vertica

Do you develop BI dashboards for HPE Vertica? Or would you like to give it a try?

To help you get started, the Vertica Partner Engineering team has created a set of QuickStart BI sample apps. You can download them for free from the HPE Big Data Marketplace.

Jump Start your ETL Application Development with Vertica

Interested in exploring the Vertica Analytic Database in the context of data movement and transformation? To get a feel for it, try our new ETL QuickStart sample apps. You’ll find them on the Big Data Marketplace. Our Partner Engineering team develops QuickStart apps using tools from our technology partners. Currently we have ETL QuickStarts for […]