Gartner Research

Critical Capabilities for Data Management Solutions for Analytics

Summary

Data management solutions for analytics are continuing to improve, with key capabilities consolidating across all vendors. Real-time data analytics have moved to their own distinct use case. Data and analytics leaders can use this research to guide evaluation for modern DMSA offerings.

Published: 16 March 2018

ID: G00328243

Analyst(s): Rick Greenwald Adam Ronthal Roxane Edjlali

Table Of Contents

What You Need to Know

Analysis

  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Actian
    • Alibaba Cloud (MaxCompute)
    • Amazon Web Services (Amazon Redshift)
    • Cloudera (Cloudera Enterprise)
    • GBase (GBase 8a)
    • Google (BigQuery)
    • Hortonworks (Hortonworks Data Platform)
    • IBM (Db2)
    • MapR Technologies (Converged Data Platform)
    • MarkLogic
    • MemSQL
    • Micro Focus (Vertica)
    • Microsoft (SQL Server)
    • Neo4j
    • Oracle
    • Pivotal (Greenplum)
    • Qubole
    • SAP HANA
    • Snowflake
    • Teradata
    • Treasure Data
  • Context
  • 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
    • Traditional Use Support
    • Exploratory Use Support
  • 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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