Vertica Blog

Vertica Blog

Integrations

Important: gcc and Ubuntu 16.04 Incompatibility

Sarah Lemaire, Manager, Vertica Documentation
June 8, 2018

Vertica 9.0.1-9 and later 9.0 hotfixes now support Ubuntu 16.04. However, Ubuntu 16.04 ships with a compiler that is incompatible with the Vertica C++ SDK. To compile UDxs on this platform, you must install packages for 4.8 compatibility: $ sudo apt-get install gcc-4.8 $ sudo apt-get install g++-4.8 $ cd /usr/bin $ sudo ln -s...
Three 3D arrows, different colors pointing in different directions

IMPORTANT: Vertica and Amazon Linux 2.0 gcc Compatibility Problems

Sarah Lemaire, Manager, Vertica Documentation
May 31, 2018

This blog post was authored by Monica Cellio, with Serge Bonte. The Vertica binaries are compiled using the default version of g++ installed on the supported Linux platforms. Vertica requires a minimum of gcc version 4.8.4. The default version of g++ on Amazon Linux 2.0 is not compatible with gcc 4.8.4. To be able to...
Programmer

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

Soniya Shah, Information Developer
March 22, 2018

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...

Introducing the Parallel Streaming Transformation Loader (PSTL) Solution

Soniya Shah, Information Developer
March 19, 2018

This blog post was authored by Soniya Shah. At Vertica, we understand how important it is that our customers can make decisions in near real time. Being able to do this not only requires the massive parallel processing that Vertica offers, but the ability to transform and ingest your data into Vertica as quickly as...

The Kafka Streaming Load Scheduler

Soniya Shah, Information Developer
March 1, 2018

This blog post was authored by Tom Wall. Vertica’s streaming load scheduler provides high-performance streaming data load from Kafka into your Vertica database. Whether you already use Kafka or not, it is worth considering it as a solution to your data loading challenges. Kafka complements Vertica very nicely, and the scheduler removes many complexities of...
Visual data flow graph showing parallel spark Vertica data sharing

Integrating with Apache Spark

Soniya Shah, Information Developer
September 27, 2017

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 across machines. For more information, see the Apache...