Vertica Blog

Vertica Blog

Integrations

Harness your Vertica Metadata in DataHub with the New Vertica Connector

Vertica now supports a new and certified DataHub-Vertica Plugin to analyze Vertica metadata in DataHub and use DataHub features to make better business decisions. DataHub is a metadata platform for data discovery, governance, and end-to-end data lineage. Here are some of the key features of the plugin: Up to 10x better performance Visualize lineage between...
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Monitor your Vertica Metrics in Prometheus Using the New Vertica Prometheus Exporter

Looking to visualize Vertica metrics in your favorite monitoring tool that supports Prometheus? You can now do it with the Vertica Prometheus Exporter! We are happy to announce the Vertica Prometheus Exporter, an open-source project now available on Vertica’s GitHub. The exporter uses the vertica-sql-go driver to connect to Vertica. Prometheus is a monitoring system...
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Unleash the Power of Vertica and Apache Spark Using the Upgraded Spark Connector

This post is authored by Alex Le What is Apache Spark? Apache Spark is a distributed compute engine that provides a robust API for data science, machine learning, or to work with big data. It is fast, scalable, simple, and supports multiple languages, including Python, SQL, Scala, Java, and R. Backed by the Apache 2.0...

Vertica and Apache Airflow Integration

Apache Airflow is an open-source workflow management platform that enables you to program, schedule, and manage complex workflows as Directed Acyclic Graphs (DAGs). A DAG is a collection of tasks and also shows the relationship between the different tasks. Airflow provides Python class to create the data pipeline (DAGs). Airflow has a full featured web...