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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

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

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 August 04, 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

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 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

Cloud solutions and services continue to grow in acceptance for many reasons - the ease of deployment and upgrades, elastic scalability, and the pay as you go simplicity. Cloud database options offer an approach that allows organizations to run a database on a cloud platform, either running the DB on the cloud independently or selecting a database service that is maintained by a public cloud service provider.

Posted August 03, 2016

The rise of new data types over the past 10 years has led to new ways of thinking about data, and new data storage and management technologies such as Hadoop, NewSQL, and NoSQL. However, despite all the new technologies that have emerged in the last 10 years, one thing is clear: the relational database management system which has been the enterprise workhorse for decades will remain a critical component of the data architecture.

Posted August 03, 2016

Today, data is being recognized and appreciated as an asset, and even, some have suggested, a kind of currency. But beyond the obvious businesses built on data - such as Airbnb's rental business, Uber's car service app, and Alibaba's online marketplace - every business today is striving to become a data-driven organization, with turn-on-a-dime agility and rapid insights into customer behaviors and desires.

Posted August 03, 2016

The rapid expansion of The IT market shows no signs of abating. The growth of data in all its forms—from traditional data sources and newer sources such as social media and connected devices—is driving swift innovation. To address the need to secure, integrate, and draw meaningful insights from all this data, a steady flow of products and services, as well as new features to long-established offerings, continues to emerge.

Posted August 03, 2016

Splice Machine is teaming up with Incedo, a technology solutions provider specializing in data and analytics, product engineering, and emerging technologies, to generate solutions that will help enterprises manage data and accelerate data processing.

Posted August 03, 2016

Helping to address complex analysis problems, IBM has announced the general availability of IBM Graph, a Bluemix service that allows users to set up graph databases in the cloud. Previously offered in beta earlier this year, the availability was made public in an IBM developerWorks blog by Adrian Warman, documentation lead for IBM UK Application Platform Services, on behalf of the IBM graph team.

Posted July 28, 2016

By the mid-2000s, a huge number of web apps were built upon the so-called LAMP stack. LAMP applications utilize the Linux operating system, Apache web server and MySQL database server, and implement application logic in PHP or another language starting with the letter "P," such as Python or Perl. But the LAMP stack is now essentially obsolete technology, and the MEAN stack provides a lot of productivity advantages, especially for modern highly-interactive web sites. But the MEAN stack is not without compromise. Here's why.

Posted July 27, 2016

Workday, a provider of enterprise cloud applications for finance and human resources, has signed a definitive agreement to acquire Platfora, a provider of operational analytics and data discovery tools that enable companies to visually interact with and analyze large volumes of data. Terms of the deal, which is expected to close in Workday's third fiscal quarter, were not disclosed.

Posted July 27, 2016

Hazelcast and Heimdall Data are launching an integrated platform that provides a SQL solution that tackles the issue of on-premise or cloud application uptime and scalability caused by deficient application-to-database interaction.

Posted July 20, 2016

The next major release of MarkLogic's enterprise NoSQL database platform is expected to be generally available by the end of this year. Gary Bloom, president and CEO of the company, recently reflected on the changing database market and how new features in MarkLogic 9 address evolving requirements for data management in a big data world. "For the first time in years, the industry is going through a generational shift of database technology - and it is a pretty material shift," observed Bloom.

Posted June 30, 2016

Datavail, a provider of data management and managed database services, has announced new partnerships with SlamData and ClearDB, to expand NoSQL analytics and DBA services.

Posted June 30, 2016

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