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 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | Next Page »

E-mail
Share

Neo Technology Database Manages Social Relationships

"Social applications and graph databases go together like peanut butter and jelly," says graph database consultant Max De Marzi. That's the big reason Neo4j, the open source graph database developed and supported by Neo Technologies, has a unique place in the NoSQL world.

Neo4j is used to model and query highly complex interconnected networks with an ease that's not possible with relational databases or other NoSQL products. Other NoSQL databases may excel in dealing with ever-changing data, but graph databases shine in dealing with ever-evolving relationships. In social network applications you can model and query the ever-changing social graph. In IT and telecom network scenarios you can quickly resolve secure access challenges. In master data management applications you can see changing relationships among data. And in recommendation-engine apps you can figure out what people want before they know they want it.

Neo4j is a general-purpose graph database that can handle transaction processing or analytics, and it's compatible with leading development platforms including Java, Ruby, Python, Groovy and others. Neo Technology is working on scale-out architecture, but even without that, Neo4j can manage and reveal billions of relationships. As social and network applications multiply, Neo Technology is in a prime position to manage the future.

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 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 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.