Gartner Research

Critical Capabilities for Data Management Solutions for Analytics


Data management solutions for analytics offerings are consolidating, with major vendors able to address a range of use cases and smaller vendors addressing a subset of use cases. Data and analytics leaders can use this research to guide evaluation and initial vendor selection for DMSA offerings.

Published: 18 March 2019

ID: G00355667

Analyst(s): Rick Greenwald Adam Ronthal

Table Of Contents

What You Need to Know

  • Market Trends
  • The Product
  • Critical Capabilities Research
    • Coverage
    • Scoring


  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Alibaba Cloud (MaxCompute)
    • Amazon Web Services (Amazon Redshift)
    • Arm Treasure Data
    • Cloudera (Cloudera Enterprise)
    • GBase (GBase 8a)
    • Google (BigQuery)
    • Hortonworks (Hortonworks Data Platform)
    • Huawei (FusionInsight Big Data)
    • IBM (Db2)
    • MapR Technologies (MapR Data Platform)
    • MarkLogic
    • Micro Focus (Vertica)
    • Microsoft (Azure SQL Data Warehouse)
    • Neo4j
    • Oracle (Oracle Exadata)
    • Pivotal (Pivotal Greenplum)
    • SAP (SAP HANA)
    • Snowflake
    • Teradata
  • Context
    • Overall Performance
    • Reference Customer Survey
  • Product/Service Class Definition
  • Critical Capabilities Definition
    • Access to Multiple Data Sources
    • Administration and Management
    • Advanced Analytics
    • Data Ingest
    • Managing Large Volumes of Data
    • Optimized Performance (Traditional)
    • Optimized Performance (Exploratory)
    • Flexible Scalability
    • Variety of Data Types
    • Workload Management
    • Use Support (Traditional)
    • Use Support (Exploratory)
  • Use Cases
    • Traditional Data Warehouse
    • Real-Time Data Warehouse
    • Logical Data Warehouse
    • Context-Independent Data Warehouse
  • Vendors Added and Dropped
    • Added
    • Dropped

Inclusion Criteria

  • Critical Capabilities Rating

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