Gartner’s Magic Quadrant for Operational Database Management Systems (2015)

Whoooyah…Microsoft is number 1, numero uno 🙂

Gartner Magic Quadrant for Operational Database Management Systems 2015


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Headquartered in Redmond, Washington, U.S., Microsoftmarkets its SQL Server DBMS for the operational DBMS market, as well as the Microsoft Azure SQL Database (a DBMS platform as a service), and the NoSQL DBMSs Microsoft Azure DocumentDB and Azure Tables.



  • Market vision:

Microsoft’s market-leading vision consists of NoSQL (Azure DocumentDB and Azure Tables), cloud offerings (including hybrid cloud), the use of analytics in transactions (HTAP) and support for mobility. Its vision for in-memory computing across products, hybrid cloud implementations and a “cloud first” strategy is ahead of its competitors.

  • Strong execution:

Microsoft SQL Server is an enterprisewide, mission-critical DBMS capable of competing with products from the other large DBMS vendors. Gartner’s 2014 market share data shows Microsoft as the No. 2 vendor in terms of total DBMS revenue.

  • Performance and support:

Reference customers were very positive, with the performance of SQL Server, documentation, support, ease of installation, integration and operation all rated highly.


  • Market image:

Although SQL Server is an enterprise-class DBMS, Microsoft continues to struggle to dispel a perception of weakness in this area. Inquiries from Gartner clients demonstrate a continuing perception that SQL Server is not used for mission-critical enterprisewide applications — a view that inhibits wider use of SQL Server as a primary, enterprise-class DBMS.

  • Lack of an appliance:

Microsoft still lacks an appliance for transactions (one comparable to its Microsoft Analytics Platform System, formerly Parallel Data Warehouse). By contrast, its major competitors (IBM, Oracle and SAP) all offer one, as does one new entrant to the Magic Quadrant (Fujitsu).

  • Pricing:

Microsoft received below-average ratings for pricing suitability, a problem that stems from the pricing model changes implemented in SQL Server 2012. Microsoft’s cloud offerings appear to be partially mitigating this concern.


Magic Quadrant for Data Warehouse Database Management Systems

Thank Gartner for the info.

Entering 2014, the hype around replacing the data warehouse gives way to the more sensible strategy of augmenting it. New competitors have arisen, leveraging big data and cloud, while traditional vendors have invested — which will force improved execution from new technology companies.

For this Magic Quadrant, we define a DBMS as a complete software system that supports and manages a database or databases in some form of storage medium (which can include hard-disk drives, flash memory, and solid-state drives or even RAM). Data warehouse DBMSs are systems that can perform relational data processing and can extended to support new structures and data types, such as XML, text, documents, and access to externally managed file systems. They must support data availability to independent front-end application software, include mechanisms to isolate workload requirements (see Note 2) and control various parameters of end-user access within managed instances of the data.

A data warehouse is a solution architecture that may consist of many different technologies in combination (see Note 3). At the core, however, any vendor offering or combination of offerings must exhibit the capability of providing access to the files or tables under management by open access tools. A data warehouse is simply a warehouse of data, not a specific class or type of technology.

In 2014, this Magic Quadrant introduces non-relational data management systems for the first time. No specific rating advantage is given regarding the type of data store used (for example, DBMS, Hadoop Distributed File System [HDFS]; relational, key-value, document; row, column and so on). All vendors are expected to provide multiple solutions (although one approach is adequate for inclusion), each demonstrating maturity and customer adoption. Also, cloud solutions (such as platform as a service) are considered viable alternatives to on-premises warehouses.

A data warehouse DBMS is now expected to coordinate data virtualization strategies, and distributed file and/or processing approaches, to address changes in data management and access requirements.

Magic Quadrant for Data Warehouse Database Management Systems 2014


Microsoft ( markets SQL Server 2012 (Service Pack 1 has been available since November 2012), a reference architecture and the parallel data warehouse appliance. Microsoft does not report customer or license counts. Gartner estimates Microsoft’s relational DBMS revenue grew 13.6% during 2013 — faster than the overall market.

– Microsoft offers appliances, reference architectures including a variety of hardware, prebuilt offerings built to customer selections then delivered ready to run, software licensing and managed services data warehouses.
– Customers report a low count of software issues, above-average customer experience and obvious interoperability with Excel (and Office).They also like the easy-to-understand licensing and pricing — adding to execution.
– Customers are predominantly on the current release, and almost 60% of customers report it is their data warehouse standard. Microsoft has taken steps in pursuing the LDW with HDInsight (HDP for Windows), PolyBase and Microsoft Cloud (Windows Azure Infrastructure Services can be used to deploy a data warehouse).

– Microsoft is catching up with the other leaders, but a fast-follower market demand still drives the Microsoft road map. However, Microsoft has demonstrated its willingness to be aggressive in certain areas (such as unstructured data via SharePoint search and Azure).
– Organizations report large volumes of data but, in general, Microsoft data warehouses have a small number of users — better examples of scaling warehouses are needed. Customers want easier access to usable metadata for heterogeneous environments.
– Reference customers still report a significant cost advantage, but inquiries indicate that even small price increases do matter and Microsoft needs to maintain its price differentiation from other vendors.

More info.

Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms 2014

Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms 2014

Microsoft offers a competitive and expanding set of BI and analytics capabilities, packaging and pricing that appeal to Microsoft developers, independent distributors and now to business users. It does so through a combination of enhanced BI and data discovery capabilities in Office (Excel) 2013, data management capabilities in SQL Server, and collaboration, content, and user and usage management capabilities in SharePoint.

Magic Quadrant for Business Intelligence and Analytics Platforms 2014

More info:
Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms 2014

Gartner’s Magic Quadrant for BI Platforms 2013

Gartner: Magic Quadrant for Data Warehouse (DWH) Database Management Systems 2013

Gartner released its annual Data Warehouse (DWH) Magic Quadrant report last Monday!

Click here for the full report by Gartner.


Microsoft ( markets the SQL Server 2012 Fast Track reference architecture, SQL Server 2008 R2 Parallel Data Warehouse Appliance (Update 3), HP Business Decision Warehouse and Dell Quickstart Data Warehouse Appliance. Microsoft does not report customer or license counts, but there are thousands of SQL Server customers worldwide (including analytical and transactional systems).

Broad market usage.

With customers in the manufacturing, telecommunications, insurance, government, retail, financial services, transportation and other industries, Microsoft’s solution demonstrates wide applicability to vertical markets. In addition, customers come from all across the world, from North America to EMEA to Asia/Pacific, including countries such as Belgium, Denmark, New Zealand, South Korea, Ukraine and the U.S. Furthermore, customers report annual revenues ranging from under $100 million to over $10 billion. Microsoft is a major rival to any vendor just in sheer numbers of deployed data warehouses (although not in revenue, which, though rising, remains much lower).
Competitive capability and customer loyalty.
Microsoft customers tend to grow with Microsoft. Microsoft also holds its own when competing with other leading vendors, its usual rivals in competitive situations being IBM and Oracle. Its competitors are most often rejected on the basis of price, which means Microsoft’s pricing is considered favorable. Reference customers indicated that half of Microsoft’s competitive wins were directly related to its price and ease-of-use advantages over competitors. Importantly, although customers identified issues of product maturity (such as with metadata and monitoring tools), they considered Microsoft’s skills availability and pricing compensated for these weaknesses — though they still encourage Microsoft to improve on its shortcomings. In addition, Microsoft can claim the highest percentage of customers performing data warehousing on a current software release, according to our survey data.
Product form factors and partners.
By offering DBMS software, providing reference architectures, prebuilding and preloading implementations of reference architectures, offering an appliance and offering professional services (and partner connections), Microsoft offers almost every configuration of data warehouse deployment. In addition, Microsoft has an impressive mix of partners for colead management and lead development, hardware partners, codevelopment agreements with other suppliers and implementers, and reseller agreements. Moreover, Microsoft’s Parallel Data Warehouse appliance, despite a slow start, has been adopted by approximately 100 organizations in the past 18 months. Further adoption of this appliance is likely as Dell continues to enter the data warehouse space and sells the Dell Parallel Data Warehouse Appliance.
Completeness of solution approach.
With so much of the software needed for BI and data warehousing initiatives included in a single license, Microsoft makes the processes of purchasing and license management very easy. In addition, Microsoft offers data models (through partners) and provides assistance (directly and through partners) at the time of implementation. The most notable change by Microsoft in 2012 regarding data warehousing was its new vision for combining structured and unstructured data, desktop analytics tools (such as PowerPivot), enterprise warehousing, fast implementation strategies and the cloud.
Logical data warehouse practices.
Microsoft started early on unstructured and structured data in combination by using SharePoint, PowerPivot and technology acquired from Fast Search & Transfer — all coordinated by the SQL Server engine. It has since added in-memory capabilities across the stack by using xVelocity in SQL Server 2012, SQL Server Analysis Services (SSAS) and PowerPivot. In addition, Microsoft has been catching up with the announcement of HDInsight and a solution offering in partnership with Hortonworks. Finally, with Microsoft’s StreamInsight complex event processing solution, customers can address the velocity requirements of big data.

Perceived lack of enterprise-readiness.

As SQL Server grows to enable its expanded use for data warehousing, it is generating more questions from clients about its readiness to support large data warehouses and HA/DR capabilities. However, with the release of SQL Server 2012, Microsoft has continued to mature this offering with the addition of Always On features to improve clustering, failover and active-active data warehouses. Growth in the number of large SQL Server data warehouses will also reduce this perception.
Complete data management capabilities.
SQL Server offers a complete set of data management capabilities, including data integration with SQL Server Integration Services and OLAP capabilities with SSAS. However, as data warehousing projects have matured and grown in complexity, clients have reported (both through Gartner’s direct interactions and through the survey we conducted for this Magic Quadrant) limitations with the capabilities offered with SQL Server, specifically in the areas of metadata management and data integration. Microsoft is still developing its capabilities in these areas.
Business model driven by the “majority market.”
Distributed process management and execution is one aspect of the logical data warehouse. However, although Microsoft was quick to respond to its customers’ fast-developing need to cope with data in high volume, in great variety and at fluctuating velocity, and to offer integration with major Hadoop distributions, this left it behind some of the Leaders in terms of vision. But, then, being a “fast follower” for some features and functions has always been part of Microsoft’s business model.

Gartner: Magic Quadrant for BI Platforms 2013