Apache lights a fire under Hadoop with Spark

Apache Spark might provide a faster alternative to Hadoop MapReduce

The Apache Software Foundation has announced the first production-ready release of Spark, analysis software that could speed jobs that run on the Hadoop data-processing platform.

Dubbed the "Hadoop Swiss Army knife," Apache Spark provides the ability to create data-analysis jobs that can run 100 times faster than those running on the standard Apache Hadoop MapReduce.

MapReduce has been widely criticized as a bottleneck in Hadoop clusters because it executes jobs in batch mode, which means that real-time analysis of data is not possible.

Spark provides an alternative to MapReduce in that it executes jobs in short bursts of micro-batches that are five seconds or less apart. It also provides more stability than real-time, stream-oriented Hadoop frameworks such as Twitter Storm.

The software can be used for a variety of jobs, such as an ongoing analysis of live data, and, thanks to a software library, more computationally in-depth jobs involving machine learning and graph processing.

Using Spark, developers can write data-analysis jobs in Java, Scala or Python, using a set of more than 80 high-level operators.

With the version 1.0 release, Apache Spark now offers a stable API (application programming interface), which developers can use to interact with Spark though their own applications.

Also new for version 1.0 is a Spark SQL component for accessing structured data, allowing the data to be interrogated alongside unstructured data in analysis work.

Apache Spark is fully compatible with Hadoop's Distributed File System (HDFS), as well as with other Hadoop components such as YARN (Yet Another Resource Negotiator) and the HBase distributed database.

The University of California, Berkeley's AMP (Algorithms, Machines and People) Lab originally developed Spark, and Apache adopted it as an incubator project in June 2013. IT companies such as Cloudera, Pivotal, IBM, Intel and MapR have all folded Spark into their Hadoop stacks. Databricks, a company founded by some of the developers of Spark, offers commercial support for the software.

Both Yahoo and NASA, among others, use the software for daily data operations.

As with all Apache software, Apache Spark has been issued under the Apache License version 2.0.

Join the newsletter!

Error: Please check your email address.
Rocket to Success - Your 10 Tips for Smarter ERP System Selection

Tags applicationsDatabricksdata miningsoftware

Keep up with the latest tech news, reviews and previews by subscribing to the Good Gear Guide newsletter.

Joab Jackson

IDG News Service
Show Comments

Most Popular Reviews

Latest Articles

Resources

PCW Evaluation Team

Sarah Ieroianni

Brother QL-820NWB Professional Label Printer

The print quality also does not disappoint, it’s clear, bold, doesn’t smudge and the text is perfectly sized.

Ratchada Dunn

Sharp PN-40TC1 Huddle Board

The Huddle Board’s built in program; Sharp Touch Viewing software allows us to easily manipulate and edit our documents (jpegs and PDFs) all at the same time on the dashboard.

George Khoury

Sharp PN-40TC1 Huddle Board

The biggest perks for me would be that it comes with easy to use and comprehensive programs that make the collaboration process a whole lot more intuitive and organic

David Coyle

Brother PocketJet PJ-773 A4 Portable Thermal Printer

I rate the printer as a 5 out of 5 stars as it has been able to fit seamlessly into my busy and mobile lifestyle.

Kurt Hegetschweiler

Brother PocketJet PJ-773 A4 Portable Thermal Printer

It’s perfect for mobile workers. Just take it out — it’s small enough to sit anywhere — turn it on, load a sheet of paper, and start printing.

Matthew Stivala

HP OfficeJet 250 Mobile Printer

The HP OfficeJet 250 Mobile Printer is a great device that fits perfectly into my fast paced and mobile lifestyle. My first impression of the printer itself was how incredibly compact and sleek the device was.

Featured Content

Latest Jobs

Don’t have an account? Sign up here

Don't have an account? Sign up now

Forgot password?