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Tagged Posts: VectorH

Actian Vector For Hadoop File Format Is Faster And More Efficient
  • June 5, 2020

Actian Vector for Hadoop File Format is Faster and More Efficient

In this third and last part of the series on Actian Vector in Hadoop (VectorH), we will cover how the VectorH file format supports the performance and efficiency of our data analytics platform to accelerate business insights, as well as some of the other enterprise features that can help businesses move their Hadoop applications…

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Actian Vector Data Ingestion
  • July 11, 2018

Actian Vector Data Ingestion

The usefulness of an analytic database is closely tied to its ability to ingest, store, and process vast quantities of data. Data is typically ingested from multiple sources such as operational databases, CSV files, and continuous data streams. In most cases, daily data loads are measured in tens or hundreds of millions of rows,…

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Vector In Hadoop 5.0 – New Features You Should Care About
  • September 19, 2017

Vector in Hadoop 5.0 – New Features You Should Care About

Today we announce the introduction of the next release of Actian Vector in Hadoop, extending our support of Apache Spark to include direct access to native Hadoop file formats and tighter integration with Spark SQL and Spark R applications. In this release, we also incorporate performance improvements, integration with Hadoop security frameworks, and administrative…

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Hadoop Short Circuit Reads And Database Performance
  • August 2, 2016

Hadoop Short Circuit Reads and Database Performance

If you've been working with Hadoop then you've likely come across the concept of Short Circuit Reads (SCRs) and how they can aid performance. These days they are mostly enabled by default (although not in "vanilla" Apache or close derivatives like Amazon EMR). Actian VectorH brings high performance SQL, ACID compliance, and enterprise security…

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Performance Troubleshooting Tips For Actian Vector In Hadoop
  • June 20, 2016

Performance Troubleshooting Tips for Actian Vector in Hadoop

Actian Vector and Vector in Hadoop are powerful tools for running queries efficiently. However, most users of data analytics platforms seek to find ways to optimize performance to gain incremental query improvements. The Actian Service and Support team works with our customers to identify common areas that should be investigated when trying to improve…

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Fashion Retailer Maximizes Profits Through Data Driven Insights
  • May 26, 2016

Fashion Retailer Maximizes Profits Through Data Driven Insights

Kiabi, a global retailer of ready-to-wear fashion at affordable prices based in France needed to replace a legacy data management platform that was unable to support real-time analytics in a high-volume global retail environment. A proof of concept test demonstrated that the Actian Analytics Platform was clearly the performance leader to meet this customer’s real-time data…

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Accelerating Spark With Actian Vector In Hadoop
  • May 9, 2016

Accelerating Spark with Actian Vector in Hadoop

One of the hottest projects in the Apache Hadoop community is Spark, and we at Actian are pleased to announce a Spark-Vector connector for the Actian Vector in Hadoop platform (VectorH) that links the two together. VectorH provides the fastest and most complete SQL in Hadoop solution, and connecting to Spark opens up interfaces…

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  • May 3, 2016

Amazon EMR as an Easy-to-set-up Hadoop Platform

Recently I helped a customer perform an evaluation of Actian Vector in Hadoop (VectorH) to see if it could maintain “a few seconds” performance as the data sizes grew from one to tens of billions of rows (which it did, but that’s not the subject of this entry). The customer in question was only…

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Taking Advantage Of Ordered Data
  • May 2, 2016

Taking Advantage of Ordered Data

Actian Vector and Vector in Hadoop (VectorH) have a lightweight, but very potent, feature that can give a significant performance boost when querying data that possesses some kind of ordering. This entry takes a look at this feature and describes how to use it. The feature utilises what are referred to as MinMax structures.…

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  • April 28, 2016

Actian Developer Tools available on Github

The Actian technology teams have recently posted a number of technical tools and snippets to the Actian account on Github that will be of interest to customers, partners and prospects. We encourage all of you to take a look and make contributions of your own – either to enhance these tools, or else to…

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Hadoop At 10
  • April 27, 2016

Hadoop at 10

Wow – 10 years of Hadoop, what a ride. Actian has been working in the Hadoop ecosystem almost since the beginning, starting in 2007. Actian started working with Hortonworks the moment they launched in 2011. As a pioneer in this space, we have witnessed the whole “boom”. And while Hadoop is continuing to show…

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Analytics Cube And Beyond
  • April 14, 2016

Analytics Cube and Beyond

Big Data engineering has invented a seemingly endless supply of workaround solutions.  These are for both scalability and performance problems.  Ultimately, our approach to solving these problems dictates how sustainable they will be.  This post compares some modern best practices with pre-processing cube environments.  3 Ways A Hadoop Database Competes With Cube Analytics Software…

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High-Performance Realtime-Analytics On Hadoop Data
  • December 27, 2017

High-Performance Realtime-Analytics on Hadoop Data

The Challenge I have spent many years working with Actian's customers on database solutions and thought it'd be useful to discuss a recent customer experience at a large media company (I will call it "XYZCo"). This experience is similar to what I continue to see with other customers and the lessons learned apply to…

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Join Actian At Strata Data New York 2017
  • September 20, 2017

Join Actian at Strata Data New York 2017

Join us at the Strata Data New York conference next week at Jacob K Javits Convention Center to learn how our data management and analytics products can help you manage and analyze hybrid data to better gain business insights.  This O'Reilly conference takes place September 25-28, with an opening reception from 5-6:30pm Tuesday in…

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Efficient ETL In An Analytical Database?
  • June 27, 2016

Efficient ETL in an Analytical Database?

Recently I worked on a POC that required some non-standard thinking. The challenge was that the customer's use case did not only need high performance SQL analytics but also a healthy amount of ETL (Extract, Transform, and Load). More specifically, the requirement was for ELT (or even ETLT if we want to absolutely precise).…

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Pssst .. Have You Heard About VectorH?
  • May 4, 2016

Pssst .. Have you heard about VectorH?

Hello World! We’ve been busy building some innovative features into the Actian Vector in Hadoop (VectorH) product and we would love to tell you all about them. So, the list of the features and innovations that we have done recently for VectorH… wait .. do you even know what VectorH is about? Yes, it’s…

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An Analytical Mind: A Smart Interview With Peter Boncz On Vector Processing
  • September 5, 2014

An Analytical Mind: A Smart Interview with Peter Boncz on Vector Processing

Known as the Father of Vector Database Processing, Peter Boncz is the Senior Research Scientist at Centrum Wiskunde & Informatica (CWI), Professor at VU University Amsterdam, and Chief Technical Advisor to Actian Corporation, the first company to assemble an end-to-end big data analytics platform that runs natively on Hadoop. He architected two breakthrough database…

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