Slideshows

13 Big Data Vendors To Watch In 2013

Doug Henschen December 11, 2012 09:06 AM From Amazon to Splunk, here's a look at the big data innovators that are now pushing Hadoop, NoSQL and big data analytics to the next level.

« Previous Page | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Next Page »

E-mail
Share

Cloudera Addresses Hadoop Analytics Gap

Cloudera is the #1 provider of Hadoop software, training and commercial support. From this position of strength, Cloudera has sought to advance the manageability, reliability and usability of the platform.

During 2012, the discussion turned from convincing the broad corporate market that Hadoop is a viable platform to convincing people that they can gain value from the masses of data on a cluster. But to do that, we'll need to get past one of Hadoop's biggest flaw: the slow, batch-oriented nature of MapReduce processing. Tackling the problem head on, Cloudera has introduced Impala, an interactive-speed SQL query engine that runs on the existing Hadoop infrastructure. Two years in development and now in beta, Impala promises to make all the data in the Hadoop Distributed File System (HDFS) and Apache HBase database tables accessible for real-time querying. Unlike Apache Hive, which offers a degree of SQL querying of Hadoop, Impala is not dependent on MapReduce processing, so it should be much faster.

There's a lot riding on Impala. What's not yet clear is whether it will mostly work with conventional relational tools or whether it will cut many of them out of the picture. Thus, all eyes will be on Cloudera in 2013.

RECOMMENDED READING

MongoDB Upgrade Fills NoSQL Analytics Void

Amazon DynamoDB: Big Data's Big Cloud Moment

Amazon Debuts Low-Cost, Big Data Warehousing Service

Cloudera Debuts Real-Time Hadoop Query

Big Data Analytics Challenges Old-School Business Intelligence

Why Sears Is Going All-In On Hadoop

MapR Promises A Better Hbase

Hadoop Meets Near Real-Time Data

MapR's Google Deal Marks Second Big Data Cloud Win

Sears Hadoop Plans: Check Out Data Warehousing's Future

Splunk Answers Business Demand For Big Data Analysis

« Previous Page | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Next Page »

By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?

SaS

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.