Vertica Blog

Announcing Vertica Version 12

Posted June 6, 2022 by Steven Sarsfield, Vertica Senior Product Marketing Manager – Partner Ecosystem

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GigaOm Radar for Data Warehouses Recognizes Vertica as Leader

With the excitement in our industry regarding the emergence of data lakehouses, there’s a good chance that you are planning to modernize or even “replatform” your incumbent data warehouse to meet an ever-evolving variety of analytical use cases. Many vendors, like Vertica, have transformed the original concept of data warehouses with groundbreaking innovations like massively...

Load Balancing on Elastic Kubernetes Clusters

Your long-running sessions could fail after you deployed Vertica on Elastic Kubernetes Cluster (EKS) with Load Balancer as the service type. When the load balancer type is not specified in yaml, by default, EKS generates a classic load balancer with a default connection idle timeout of 60 seconds. The aws-load-balancer-connection-idle-timeout can be set up to...
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Restrict Modifying Table Rows (UPDATE/DELETE) Irrespective of User Privileges

Do you have a table with critical information such as SIEM events or credit card transactions? Do you want to be able to block user access to UPDATE/DELETE rows in those tables? From version 12.0.0, you can do this by setting the tables as IMMUTABLE. This means you can only insert data and not modify...
Kubernetes and containers

Vertica on Amazon Elastic Kubernetes Service (EKS)

Introduction In my previous blog, I showed you the steps to run Vertica on Kubernetes (K8s) on your laptop. That’s fine if you want to try things out on a small scale, but what if you want to run it on a larger system? In this blog, I will teach you how to deploy Vertica...

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Kubernetes and containers

Vertica on Kubernetes

This blog post has been updated from an earlier one to use new features that make deploying on your own system easier. Vertica released the VerticaDB operator in August, 2021, which began Vertica’s integration with Kubernetes. The operator automates many Vertica administrator tasks, such as restarting Vertica if any of the nodes go down, upgrading...

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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High Availability for a Vertica in Eon Mode Database with Read-Only Mode

When Vertica is deployed in Eon Mode, there are two major requirements for high availability: maintaining quorum and shard coverage. If either of them is lost, the whole cluster goes down. Before going into details, let us understand what quorum and shard coverage mean. Quorum: In Eon Mode, more than half of the primary nodes...

Explore Popular Topics

How to Quickly Install Vertica on Large Clusters

Vertica 12.0.2 introduces a new feature that allows you to install Vertica in parallel on all hosts rather than one at a time as in earlier releases. This reduces the installation time in large clusters. To use this feature, run the --parallel-no-prompts flag with the install_vertica command. This flag can be used only when passwordless...

VerticaPy reaches a milestone at 100 stars

The Vertica team is happy to share a milestone in our “VerticaPy journey”: We just reached 100 stars in our GitHub repo, and it’s growing every day. (Repo: That’s “repository” for those of you unfamiliar with GitHub.) Repos accumulate stars as an indication of user interest – think of them as bookmarks in a user’s...
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Unleash the Power of Data Science with Vertica and Domino Data Lab

Introducing an end-to-end machine learning solution with Vertica and Domino Data Lab that enables you to explore, analyze, and model your data in Vertica using VerticaPy. Domino Data Lab is a data science platform to build and deploy machine learning models, monitor performance, and collaborate with one another. VerticaPy is a Python library to perform...
SQL Query Optimization

Improving COUNT DISTINCT Performance with Approximate Functions

A common analytic use case is to find the number of distinct items in a data set. Vertica performs well at solving COUNT DISTINCT in a few ways. Since Vertica stores all data in columns, it is possible to optimize for COUNT DISTINCT by building a projection that is tuned for this use case. Vertica...