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NoSQL Central

The four main categories of NoSQL or Not-Only SQL Database systems are gaining popularity for Big Data, Web and Specialized applications. Key-Value Stores enable the storage of unstructured or schemaless data, aligned as a key and actual data; Column-Family databases, store



NoSQL Central Articles

In his keynote on Monday at Oracle OpenWorld 2016, Oracle CEO Mark Hurd showcased customer success stories and offered three new predictions for the future of cloud, which, he said, represents a generational shift in the IT market.

Posted September 21, 2016

"In this coming year, you'll see us aggressively moving into infrastructure-as-a-service," Larry Ellison, Oracle's chief technology officer and executive chairman of the board, said to kick off the company's OpenWorld conference Sunday night at the Moscone Center. In the first of his two scheduled keynote addresses, Ellison went on to outline a number of strategic announcements that aim to strengthen the company's offerings, as well as to help it compete with Amazon.com, one of its top challengers.

Posted September 19, 2016

Nuxeo, developer of an enterprise content management platform for managing complex digital content at scale, has announced that Goldman Sachs has made a $20 million investment in the company, adding to the $10 million commitment by Kennet Partners announced in June, for a total of $30 million.

Posted September 14, 2016

To help organizations continue to get the most from their data, Big Data Quarterly has published the second annual "Big Data 50," a list of companies driving big data innovation. The Big Data 50 includes forward-thinking companies that are expanding what is possible in terms of managing and deriving value from data.

Posted September 14, 2016

Building applications can already be a grueling process for developers, especially when networks become slow, spotty, or go down completely. By building offline-first apps, developers create an always-on experience for their users. An offline-first app is one that works, without error, when there is no network connection, with progressive enhancement applied whenever network connectivity is available.

Posted September 14, 2016

With the growth of data variety, volume, and velocity, innovative data management approaches are needed. To help organizations get the most from their data, Big Data Quarterly presents the second annual "Big Data 50," our list of companies driving innovation.

Posted September 14, 2016

Clustrix is releasing a new version of its software, designed to help customers meet the challenge of transactional workloads. The new version of the platform combines in-memory processing, containerization, and encryption to improve performance, ease-of-use, and security, according to the company.

Posted September 13, 2016

Percona, provider of MySQL and MongoDB solutions and services, is releasing an open source database performance analysis tool that will enable DBAs and application developers to optimize the performance of their MySQL and MongoDB databases.

Posted September 13, 2016

At its partner conference this week, Teradata is announcing three key new offerings to support customers choosing hybrid environments spanning cloud and on-premise, and relational and big data technologies.

Posted September 12, 2016

Can Oracle and its partners keep up with the increasing demands of customers for real-time digital capabilities? Is the Oracle constellation of solutions—from data analytics to enterprise applications—ready for the burgeoning requirements of the Internet of Things (IoT) and data-driven businesses? For Oracle—along with its far-flung network of software vendors, integrators, and partners—times have never been so challenging.

Posted September 07, 2016

The Independent Oracle Users Group (IOUG) is excited to be joining the Oracle technology community in San Francisco once again at Oracle OpenWorld 2016, September 18-22. IOUG's 30,0000+ member community is comprised of the top Oracle technology experts from around the globe, several of whom will be presenting sessions on hot topics like Data Intelligence, iOT, Data Security, and Cloud migrations.

Posted September 07, 2016

Datawatch Corporation unveiled an enhanced version of its self-service data preparation solution, making the platform faster and more intuitive. Datawatch Monarch 13.5 empowers business users and data analysts to overcome traditional data access and preparation challenges by enabling them to easily and rapidly mine data from virtually any source and then manipulate, blend, enrich, and prepare it for use in analytics tools or optimizing manually intensive business processes.

Posted September 07, 2016

Progress now provides day one support for Hadoop Hive, Spark SQL, MongoDB and more with latest update to its DataDirect suite of connectivity tools. With this new upgrade, Progress DataDirect on-premises ODBC and JDBC drivers will support any new versions of supported data sources.

Posted August 24, 2016

Many tools promise that users will gain rapid insights and create more flexibility by capturing and storing data, but introducing NoSQL database technologies into the data warehouse and analytics infrastructure is an approach that can yield faster and more flexible results.

Posted August 20, 2016

Google has announced that all of its database storage products are generally available and covered by corresponding service level agreements (SLAs). With this announcement, the company says, Cloud SQL, Cloud Bigtable and Cloud Datastore are now generally available. It is also releasing new performance and security support for Google Compute Engine.

Posted August 16, 2016

Anyone who has ever attended Oracle OpenWorld knows that you must plan ahead. The conference held in San Francisco each fall is vast, and the upcoming conference, scheduled for September 18-22, 2016, promises to be equally expansive. Just as in years before, tens of thousands of attendees from well over 100 countries can be expected converge to learn more about Oracle's ever-expanding ecosystem of technologies, products and services during thousands of sessions held at the Moscone Center and multiple additional venues in downtown San Francisco. Here, Database Trends and Applications presents the annual Who to See @ Oracle OpenWorld special section.

Posted August 04, 2016

With 20 million downloads to date, MongoDB is arguably today's fastest-growing database technology. MongoDB's rapid growth has been driven primarily by its attractiveness to developers. By using JavaScript Object Notation (JSON) documents as the native database format, MongoDB reduces the impedance mismatch between program code and database, allowing more agile and rapid application development.

Posted August 04, 2016

To manage growing data volumes and pressing SLAs, many companies are leveraging Apache™ Kafka and award-winning Attunity Replicate with next-generation change data capture (CDC) for streaming data ingest and processing.

Posted August 03, 2016

The potential of your business intelligence or data processing application is limited without a comprehensive data connectivity solution. Staying competitive and relevant requires a breadth of data connectivity options.

Posted August 03, 2016

Our goal at Amazon Web Services (AWS) is to enable our customers to do things that were previously not possible, and make things that our customers can already do simpler and better at a much lower cost.

Posted August 03, 2016

It is a great honor to accept DBTA's Readers' Choice Award for Best Data Governance Solution for the second year in a row. Our mission at BackOffice Associates is to help Global 2000 organizations utilize data stewardship and holistic information governance solutions to set, execute and enforce key data policies across their entire data and systems landscape.

Posted August 03, 2016

It is both exciting and validating to be selected as the number 1 data modeling solution by DBTA's discerning readers for the third consecutive year in a row!

Posted August 03, 2016

Data replication advances a number of enterprise goals, supporting scenarios such as distribution of information as part of business intelligence and reporting initiatives, facilitating high availability and disaster recovery, and as part of a no-downtime migration initiative.

Posted August 03, 2016

Everyone knows the three Vs, volume, velocity, and variety, of big data but what's required is a solution that can extract valuable insights from new sources such as social networks email, sensors, connected devices as sensors, the web, and smartphones.

Posted August 03, 2016

The cloud continues to transform computing, making it less expensive, easier and faster to create, deploy, and run applications as well as store enormous quantities of data.

Posted August 03, 2016

Query and reporting solutions are part of a comprehensive business intelligence approach in every organization. As long as enterprises need to gather data, BI groups look to utilize query and report programs as primary applications that produce output from information systems

Posted August 03, 2016

As data grows, organizations are looking for ways to dig up insights from underneath layers of information. Data mining solutions provide the tools that enable them to view those hidden gems and facilitate better understanding of new business opportunities, competitive situations, and complex challenges.

Posted August 03, 2016

Business intelligence encompasses a variety of tools that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop, and run queries against the data, and create reports, dashboards and data visualizations.

Posted August 03, 2016

To evaluate data quickly and enable predictive analytics based on sources of rapidly changing data - including social media, sensors, and financial services data -- streaming data solutions come to rescue, providing the data when it is needed ... now.

Posted August 03, 2016

Many enterprises are finding themselves with different options when it comes to moving, working, and storing data. While one tool may be right for one organization, another or a combination of tools may be just what the doctor ordered.

Posted August 03, 2016

Data virtualization provides organizations with the ability to allow the business and IT sides of organizations to work closer together in a much more agile fashion, and helps to reduce the complexity.

Posted August 03, 2016

A key component to data integration best practices, change data capture (CDC) is based on the identification, capture, and delivery of the changes made to enterprise data sources. CDC helps minimize access to both source and target systems as well as supports the ability to keep a record of changes for compliance, and is a key component of many data processes.

Posted August 03, 2016

Data integration is critical to many organizational initiatives such as business intelligence, sales and marketing, customer service, R&D, and engineering. For many enterprises, however, the road to data-driven nirvana is stymied by the inflexible, calcified systems and processes that were laid out decades earlier and still control the data flow within many enterprises, according to Joe McKendrick, lead research analyst at Unisphere Research.

Posted August 03, 2016

Effective data governance improves the usability, integrity, and security of enterprise data. As organizations gather, store, and access increasing volumes of data, strong data governance allows them to have confidence in the quality of that data for a variety of tasks as well adhere to security and privacy standards.

Posted August 03, 2016

The last thing companies want is tainted data merging with incorrect information. The process of maintaining data integrity enhances the reliability of information for use by a business. This is where tools to ensure data quality come in.

Posted August 03, 2016

Modern data modeling products offer a range of important capabilities such as ways to compare models and then synchronize them, reverse- and forward-engineer systems, visual interfaces for improved ease of use, ways for data assets to be visually documented and reused, and native support for new and emerging database platforms. Many data modeling solutions also provide features to help users map and understand their information architecture to prepare for technology upgrades and process improvements, as well as understand the impact of changes before they are implemented for better appreciation of risks and challenges.

Posted August 03, 2016

Data is increasingly appreciated by companies as their most valuable asset. But the problem is that this view is not just held by organizations themselves, there are others - including hackers and - who see it that way as well. IT and data managers can play a pivotal role in enterprise security because they are the insiders with trusted status and they are aware of where the data is stored and how best to reduce or eliminate threats. Newer security technology can also relieve many of the manual burdens associated with database monitoring.

Posted August 03, 2016

For fast-paced, turn-on-a-dime digital enterprises, with demands for 24-by-7 uptime, no activity is more vital than keeping database systems up and running. Today, database availability is no longer just a critical IT issue; it is a critical business issue. To be prepared in the event of system failures, infrastructure owners and DBAs have developed strategies to increase resiliency and assure availability of data.

Posted August 03, 2016

Database development is growing more challenging all the time. Releases are expected to come out faster than ever, and teams are more spread out across, global geographies, time zones, and skill levels. Software deployment, meanwhile needs to be spread across cloud and onsite, and accessible through more devices than ever. What's needed is an integrated end-to-end environment with multi-platform support that helps simplify development and provides automation to achieve repeatable processes and avoid potential risks that can translate into unanticipated delays.

Posted August 03, 2016

With the growing appreciation of data as a valuable resource and the pressure on organizations to become data-driven, the role of database administration has become more critical than ever, and database administrators are increasingly appreciated for the critical role they play in delivering value to the organizations. Key concerns as far as database administration are availability, security, and integration across a variety of data types and storage mechanism so that analysts and business users are empowered to be able uncover key insights when they need it. It's a lot to think about, and that is why strong database administration solutions are highly valued.

Posted August 03, 2016

In 2016, Hadoop marked its 10th anniversary and now represents much more than a platform for the storage and batch processing of vast quantities of data from disparate sources in many formats. The Apache Hadoop framework, consisting of Hadoop Common, Hadoop Distributed File System (HDFS); Hadoop YARN, and Hadoop MapReduce, remains central to most big data projects and to the creation of data lakes, but Hadoop has also expanded to represent a large ecosystem of more than 100 interconnected open source Hadoop-related projects.

Posted August 03, 2016

If information is the lifeblood of organizations today, then delivering information where it is needed faster can be considered a matter of business health, and in some cases, even business survival.

Posted August 03, 2016

There is more data available to organizations than ever before, but the goal remains the same - to unlock nuggets of gold, the useful information that will result in competitive advantage for the organization, allowing it to react to customer's needs with lightning speed, uncover new opportunities, and act fast to counter competitive threats.

Posted August 03, 2016

Over the years, MultiValue technology has maintained its base of strong advocates despite the decades-long trend toward relational database management systems. And, now with an expanding appreciation for polyglot persistence, or put more simply, the selection of the best tool for the job, there is a growing recognition that different data management systems offer different benefits with some simply better suited for certain requirements than others.

Posted August 03, 2016

While relational database technology is still the undisputed leader when it comes to enterprise data management, it is also becoming increasingly apparent that it is no longer the only game in town. By now it is clear that Not Only SQL or NoSQL technology represents a key piece of a data management picture that is increasingly diverse.

Posted August 03, 2016

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