Analyst house Gartner, Inc. recently released its 2019 Critical Capabilities for Data Management Solutions for Analytics, a companion resource to the popular Magic Quadrant report. Used in conjunction with the Magic Quadrant, Critical Capabilities is an additional resource which can assist buyers of data and analytics solutions in finding the products that fit best in their organizations.
Gartner defines Critical capabilities as “attributes that differentiate products/services in a class in terms of their quality and performance.” Gartner rates each vendor’s product or service on a five-point (five points being best) scale in terms of how well it delivers each capability. Critical Capabilities reports include comparison graphs for each use case, along with in-depth descriptions of each solution based on the various points of comparison.
The study highlights 19 vendors Gartner considers most significant in this software sector and evaluates them against 12 critical capabilities and four use cases prevalent in the space, including:
- Traditional data warehouse
- Real-time data warehouse
- Logical data warehouse
- Context-independent data warehouse
The editors at Solutions Review have read the report, available here, and pulled out three key takeaways.
Data management for analytics isn’t just data management for analytics
One of Gartner’s key findings during its survey is that data management companies are increasingly adding technologies and features that aren’t native to the space. The vendors in this market are commonly including capabilities like data integration, governance, and metadata management to their platforms. Gartner recommends that data and analytics leaders explore all available options against their current solutions before selecting a new tool in a specific area.
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