Gartner Research

Critical Capabilities for Data Management Solutions for Analytics

Published: 16 March 2018

ID: G00328243

Analyst(s): Adam Ronthal , Rick Greenwald , Roxane Edjlali

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.

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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