Big Data. Big Decisions
InformationWeek
Special Coverage Series


JustOneDB Reinvents Relational Database

NewSQL database handles billions of new transactions per day, supports both analytics and transactions, and runs on low-cost commodity hardware.

Cloud Computing Comparison: PaaS Providers
Click above for detailed features matrixes on PaaS vendors
Relational databases have dominated the storage scene for the last 40 years, but they don't hold unstructured or semi-structured data very well. That kind of information--including audio and files, blog posts, data from sensors on mobile devices, and social media streams--is becoming increasingly common, and organizations must find innovative ways to manage it.

The shortcomings of the relational database--at least from a big data perspective--have led to the emergence of a variety of competing database technologies such as NoSQL, a schema-less alternative that offers an enterprise a lot more flexibility in how it stores data.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

But relational technology may have a big data future after all. JustOne Database, a tech startup with offices in Connecticut and the United Kingdom, has developed a new relational database that it says overcomes many of the technology's weaknesses. Its NewSQL-based JustOneDB handles billions of new transactions per day, supports analytics as well as fast transactions and queries, and runs on low-cost commodity hardware.

"This, to me, is the most remarkable innovation that I've ever seen in databases in the decades I've been in the business," claimed JustOne Database CEO Kate Mitchell in a phone interview with InformationWeek. A veteran of IBM and Oracle, Mitchell and her two co-founders launched JustOne Database three years ago.

[ Learn why it's tough to keep up with all the unstructured data coming into your systems. See Big Data Means Big Storage Choices. ]

So what makes JustOneDB unique?

"There's one thing that's probably the single biggest differentiator for us," Mitchell said. To wit, JustOneDB is the first "genuine" general-purpose relational database to support both analytics and transactional queries in the same database.

But don't several major industry players--including tech heavyweights with household names like IBM and Oracle--sell relational databases too?

Yes, Mitchell said, but when you use one of their databases for transactions, you don't use the same physical database for analytics. Hence they're not as "general purpose" as they claim.

"You actually do the analytics in a separate database, and go through a process called an 'extract, transform, and load,'" Mitchell explained.

This process involves pulling selective data out of the transaction database and reorienting it. "You store it in a very different way, so that when you're doing queries in your analytics system, your queries are going to perform well," she said.

With JustOneDB, however, you don't need to pull data out and load it into a separate database. You also can do any query at any time without planning in advance. And JustOneDB has a unique storage model that isn't row or column based; rather it stores data by relationship, the company said.

It remains to be seen, however, if JustOneDB can live up to its hype. One major reason is that the company has released only half of the product thus far.

"We decided to build the first piece--the transaction side, get some traction and customers and credibility, and then come along and do the next piece: true analytics," said Mitchell.

The analytics component of JustOneDB will tackle the "really broad kind of analytics that people do today, such as, 'I want to see all the people in this zip code--with this kind of income--who bought products between these days,'" she said.

The transaction portion is available today from several platform-as-service vendors, including Engine Yard, AppHarbor, and the Salesforce.com-owned Heroku.

JustOne Database hasn't announced a release date for the enterprise version of JustOneDB, which will include both the transaction and analytics pieces. About 300 companies currently use the cloud version of the product.

Relational technology's share of the database market will likely decline in the coming years, as organizations adopt alternative products such as NoSQL for big data management. This doesn't mean that the relational database is history, however.

"The need for relational databases to power businesses and entities is not going away," Mitchell said. "For businesses, large government entities, and the healthcare and public sectors, the relational database really runs most companies around the world."

New innovative products may be a better fit for today's enterprise storage than monolithic systems. Also in the new, all-digital Storage Innovation issue of InformationWeek: Compliance in the cloud era. (Free with registration.)



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.