Vertica Wins the Gold in Bloor Market Update

Know Your Options for Analytical Databases and Data Warehouses For CDOs and CIOs, there have never been more options to choose from when deciding where to run their analytical workloads. Analytical databases and data warehouses are two popular options – with the data warehouse market experiencing 10% annual growth and many new entrants* – particularly...

Vertica for Time Series Analytics and IoT

When you want to make a prediction – stocking levels for items in your store, predicting energy usage so supply is ready, or being proactive about equipment failures – those predictions often rely on time-series data, a series of data points measuring the same signal or process through time. By analyzing that data, companies can...
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Vertica and GitLab Integration

Good news for GitLab users! You can now integrate GitLab with Vertica to run your SQL scripts in GitLab CI/CD itself with GitLab runner. Alternatively, you can integrate using only Linux or a Git supported database IDE. These integrations are explained in detail in the Vertica and GitLab: Technical Exploration in our Knowledge Base.
Unified Analytics and Unified Storage Example

Unified Analytics and Unified Storage

How data analytics plus object store handles a classic problem Today, VAST Data announced a partnership and integration with Vertica. The partnership combines a popular and proven analytical database with a hot new up-and-coming object storage company. This relationship is meaningful for the future of analytics, because the future of analytics is hybrid clouds. Let...
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Announcing Our New Partnership with Einblick

We are excited to announce our recent partnership with Einblick. Einblick is a German word that means insight. This is exactly what Einblick does! It is an integrated data computing platform that enables you to see your data throughout the analytics process. You can quickly build predictive models using their advanced AutoML engine and make...

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Take the Baseball Data Analysis Challenge with Vertica Machine Learning

Today is Opening Day of the 2022 Major League Baseball (MLB) season. I was born in Boston, Massachusetts and raised as a fan of the Boston Red Sox, who play at historic Fenway Park, just six or so miles from our Vertica headquarters in Cambridge. Baseball data is mostly transaction data describing the statistical events...

Breaking Through with Data – Climate wins Predictive Analytics Innovation Award

There are many impressive stories of data-driven organizations that use Vertica to derive near-instant analytical insight from troves of data. And many of those analytical use cases have a positive impact on our lives. But, there’s always that one profound story that makes us pause, that fills us with hope for how analytics and machine...

Analytics for the Games Industry: New paper describes a winning hand

Are you an online gamer, and – because you’re reading this blog – a “big data” enthusiast as well? Then you know very well that, when you’re playing, you’re fully immersed in the game, and the backend tech is of no concern. You’re grappling your way up a cliff in “Hang Line,” or taking pride...

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Vertica and Dataddo – New Partnership

We are very excited to announce our official partnership with Dataddo. Dataddo is a cloud-based data integration platform that connects data from online data services and multiple sources to any BI tool or database. You can quickly connect your data source to Vertica using Dataddo’s Vertica named connector. Check out the connection to Vertica as...
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Vertica and Jenkins Integration

We are excited to announce that Vertica now integrates with Jenkins. This connection enables Jenkins to access data in Vertica using the vsql application. Jenkins is an open-source tool that enables you to automate the entire software development lifecycle including continuous integration of building, testing, and deployment. Check out the integration guide in our Knowledge...

Cloud Without Compromises

Most organizations are spinning up new analytical workloads and the big industry pundits all say they should move them to the cloud. Whether your workload requirement is for business intelligence, machine learning, or both, the cloud is the place to do it. But a lot of analytical databases on the cloud are giant black boxes....

New O’Reilly Book: Accelerate Machine Learning with a Unified Analytics Architecture

Every company I’ve ever encountered needs business intelligence (BI). Increasingly, in multiple industries, more and more also need machine learning (ML) or artificial intelligence (AI) to stay competitive or gain an edge. Eventually, it should be as easy for an organization to put an ML model to work as it is to put a new...