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MultiValue Database Technology

MultiValue (MV) or “Pick” database technology is sometimes referred to as the fifth NoSQL technology. Developed in the mid-1960s, MultiValue database systems continue to be leading technologies in the retail, banking, travel industry, oil & gas, healthcare, government, and education sectors.



MultiValue Database Technology Articles

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 committed 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

Kore Technologies has unveiled the latest release of its signature platform, Kourier Integrator, improving several key areas of the hailed solution. A year and a half in the making, Kourier Integrator Release 4.3 makes it easier to create, deploy, and use RESTful Web Services for real-time enterprise application integration.

Posted July 27, 2016

Rocket Software is making improvements to its mvBase platform, delivering new enhancements customers are looking for. mvBase 3.3 adds remote files, Windows 10 64-bit support, overflow management, and patch updates.

Posted July 27, 2016

MultiValue technologies aren't going anywhere. In fact, Steve O'Neal, a principal solutions architect at Rocket Software, believes MV will play an important role as big data evolves in the future.

Posted July 27, 2016

It's all about keeping up with the ever-evolving tech landscape as many companies continue to introduce new platforms that help uncover knowledge within the massive amount of information that resides in the data landscape. But, as creative approaches to managing and accessing data such as Hadoop, cloud and NoSQL, have emerged, tried and true technologies such as MultiValue have also remained as important as ever.

Posted July 12, 2016

Entrinsik has announced that SMC Electric Supply (SMC) has deployed its Informer reporting and business intelligence software to uncover data and manage it effectively. SMC, a private, family-owned corporation headquartered in Springfield, Missouri, distributes the automation, data communications, electrical, industrial, pneumatics, safety, and security products used in machine building and manufacturing facilities.

Posted July 12, 2016

Pick Cloud, Inc, the first MultiValue Database-as-a-Service (DBaaS) provider, and Rocket Software are hosting a free joint webinar on July 13 called, "D3 Hot Backup - Why You Need It and Can't Survive Without It." Hot Backup is a Rocket D3 Software feature that enables customers to have a replicated D3 server with up to the minute transactions from the primary D3 server.

Posted June 22, 2016

ONgroup Intl, provider of MultiValue DBMS software with relational storage, is now delivering its flagship MVON product with SQL Server Express.

Posted June 09, 2016

After an extensive beta process over the past several months, Kourier Integrator 4.3 is getting ready to launch next month, according to Mark Dobransky, co-founder and managing partner.

Posted June 09, 2016

Rocket Software is gearing up to host another MV TechDay, with the event taking place this time in its home turf, Denver, Colo., on June 23. This 1-day event provides an opportunity for developers, architects, and IT staff to discuss how to extend their applications by leveraging the latest development environments.

Posted June 09, 2016

Entrinsik Inc., developer reporting and business intelligence software, is entering a partnership agreement with Atcore Systems, providing users of Atcore with reporting, real-time analysis, and dashboarding tools.

Posted June 09, 2016

The latest release of OpenQM introduces integration with Python. OpenQM is a high-performance, self-tuning database supporting MultiValue applications on Linux, Windows Server, and IBM AIX. The latest release, OpenQM 3.4-6, boosts technical support from Zumasys, to help organizations keep keep their applications up and running 24x7.

Posted June 09, 2016

The IT landscape is always shifting and being contoured by external market forces and internal industry initiatives. Against this changing backdrop, each year, DBTA presents a list of 100 companies that matter in data, compelling us to pause and reflect on the market changes taking place.

Posted June 06, 2016

Big data represents an enormous shift for IT, said Craig S. Mullins in a presentation at Data Summit 2016 in NYC that looked at what relational database professionals need to know about big data technologies. Mullins, a principal of Mullins Consulting, and the author of the DBA Corner column for DBTA, provided an overview of the changes that have taken place in the DBTA arena in recent years, and the key technologies that are having high impact.

Posted June 01, 2016

Utilizing data lakes are an alluring option for users with an enormous amount of information, yet questions remain regarding data accuracy, security, and relevancy. Three experts in the big data space, including Anne Buff, business solutions manager for SAS best practices at the SAS Institute, Abhik Roy, database solution engineer at Experion, and Tassos Sarbanes, data architect at Credit Suisse, participated in a roundtable discussion at Data Summit 2016 that focuses on these questions and more regarding data lakes.

Posted May 25, 2016

With newer and newer big data sources exploding onto the scene, traditional data warehouses are being challenged. Satya Bhamidipati, director of business development of big data and advanced analytics at Oracle, discussed data mining and advanced analytics techniques that will enable the monetization of data during a session at Data Summit 2016.

Posted May 25, 2016

Data Summit 2016 kicked off at the New York Hilton Midtown earlier this month with keynote presentations by Ben Wellington, the creator of I Quant NY, and Nicholas Chandra, vice president of Cloud Customer Success at Oracle.

Posted May 25, 2016

Companies are facing a growing problem: Data is everywhere, clogging up systems and preventing enterprises from gaining meaningful insights. Data virtualization is a way to reduce data proliferation and ensure that all consumers are working from a single source.

Posted May 23, 2016

There are many ways to combine structured with unstructured data explained Jana Mikovska, senior consultant as Raytion, and Sebastian Klatt, vice president of business development at Raytion. Their presentation at Data Summit 2016 focused on approaches and advantages of combining the two to uncover knowledge buried in unstructured information.

Posted May 16, 2016

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