Tuesday, October 28, 2014

Gartner Magic Quadrant for Operational Database Management Systems 2014

The operational DBMS market continues to grow, with innovative products and features being delivered by both new and traditional vendors. Information management leaders will be particularly interested by the changes in the Leaders quadrant.

Gartner's Strategic Planning Assumptions
By 2017, the "NoSQL" label will cease to distinguish DBMSs, which will reduce its value and result in it falling out of use.
By 2017, all leading operational DBMSs will offer multiple data models, relational and NoSQL, in a single platform.

IBM, Oracle, Microsoft, SAP, InterSystems, EnterpriseDB (PostgreSQL), MarkLogic & MariaDB are in the Leaders Quadrant of "Magic Quadrant for Operational Database Management Systems 2014"

Market Definition/Description
The operational database management system (DBMS) market is defined by relational and nonrelational database management products that are suitable for a broad range of enterprise-level transactional applications. These include purchased business applications such as enterprise resource planning (ERP), customer relationship management and customized transactional systems built by an organization's development team. In addition, Gartner include DBMS products that also support interaction data and observation data as new transaction types. These products are also used both for purchased business applications, such as ERP, catalog management and security event management, and for customized systems.

Operational DBMSs must include functionality to support backup and recovery, and have some form of transaction durability — although the atomicity, consistency, isolation and durability (ACID) model is not a requirement. For open-source DBMSs, maintenance and support must be available from a vendor that owns, or has substantial control over, the source code, and must be offered with a full General Public License (GPL) or an alternative.

For this Magic Quadrant, Gartner define operational DBMSs as systems that support multiple structures and data types, such as XML, text, JavaScript Object Notation (JSON), audio, image and video content. They must include mechanisms to isolate workload resources and control various parameters of end-user access within managed instances of data . Emerging technologies, such as cloud-only DBMSs, are not included; nor are highly specialized engines such as graph-only or object databases, which may perform some transactions for small subsets of operational use cases. Products that "add a layer" to and require or embed a complete or near-complete implementation of another commercially marketed product, such as Oracle MySQL, are not included. Finally, "streaming" engines, whose use cases are dominated by immediate event processing, and which are rarely, if ever, used for subsequent management of the data involved, are also excluded.

Friday, October 17, 2014

Gartner Magic Quadrant for Web Content Management: 2014

Web content management is no longer simply a tool for creating Web pages — it's now vital software for increasing the effectiveness of digital strategies. IT leaders responsible for WCM should consider the software's functions in the broader context in which they will deliver their full value.

IBM, Adobe, HP, Oracle, Acquia & Sitecore are in the leader’s quadrant in ‘Gartner Magic Quadrant for Web Content Management: 2014’ .

Gartner defines Web content management (WCM) as the process of controlling content to be consumed over one or more digital channels through the use of management software based on a core repository. These may be commercial products, open-source or hosted service offerings. Product functions go beyond simply publishing Web pages, to include:
  • Content creation functions, such as templating, workflow and change management.
  • WCM repositories that contain content or metadata about the content.
  • Library services, such as check-in/check-out, version control and security.
  • Content deployment functions that deliver prepackaged or on-demand content to Web servers.
  • A high degree of interoperability with adjacent technologies, such as CRM, multichannel campaign management (MCCM), marketing resource management, digital asset management (DAM) and Web analytics.
  • Real-time adaptation to visitor interaction through a delivery engine, an enhanced framework for delivery applications or similar. Some products also integrate well with delivery tiers such as e-commerce, social media and portal software.