Big Data. Big Decisions
InformationWeek
Special Coverage Series


Aerospike Vies To Advance NoSQL Database



(Page 2 of 2)

Performance is important because many of the data sets are so large, according to Das.

SAP, Oracle, Microsoft, IBM, and a host of other major companies are building big data features into their existing databases and applications already, however, so there are plenty of big data platforms available, Das said.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

And there is no shortage of NoSQL data stores, most of them open source and optimized for big data.

What is really in short supply are tools that integrate neatly with those data-crunching platforms to gather, clean, tag, store, and index unstructured data that few companies have ever tried to incorporate into their master databases, she said.

"Most of the activity in that area is from startups right now, so you won't see many of them in major products until there are some more acquisitions or until the market matures to point that these functions are more widely available," Das said.

Aerospike itself is a startup, which announced a new round of funding at the same time it announced its new product features and acquisition. Aerospike's Series B funding round raised an undisclosed amount from New Enterprise Associates, Draper Associates, and Alsop Louie Partners; the latter two were key backers during the company's first round.

Most of the best-regarded products are also either open source software or are based on open source with layers of proprietary enhancements to add new functions, Boyarski said.

Jaspersoft's main NoSQL product set is open source, as is Aerospike's, though Aerospike's proprietary enhancements shift the whole suite into the world of commercial software.

To keep from alienating open source developers and keep the latest enhancements moving into its products as well, Aerospike reversed course by releasing an open sourced version of its NoSQL database, the Aerospike Community Edition.

It shares most functions with the Enterprise version, but comes with a free unlimited license, supports a single cluster of two nodes in one data center, and has an upper data-storage limit of 200 GB.

The Enterprise Edition supports multiple data centers, multiple server clusters of any size, and replication between data centers, and offers 24-hour support.

Despite its real-time performance and claims of high throughput, Aerospike will face considerable competition both from other commercial software companies, open source software, and traditional applications and databases tweaked to provide big data-like benefits, according to Das' evaluation of the big data software market.

Jaspersoft's survey confirms the competition from unusual directions. Relational databases are the most common data store cited by respondents to the survey, followed by MongoDB (cited by 19%), Hadoop (18%), analytic databases from Teradata, Vertica and similar vendors (11%), Google's BigQuery (8%), Hbase (8%), and Cassandra (7%).

InformationWeek is conducting a survey on big data. Take our InformationWeek 2013 Big Data Survey now. Survey ends Aug. 31.

« Previous Page | 1 2  


Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

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?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

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

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

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

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

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

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

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.