Gartner Research

Assessing the Optimal Data Stores for Modern Architectures

Published: 25 February 2019

ID: G00377899

Analyst(s): Sanjeev Mohan

Summary

In the rapidly evolving data and analytics arena, few choices are more important and impactful than the persistent data store. Technical professionals focused on data management strategies must identify the optimal solution to serve their short- and long-term operational and analytical objectives.

Table Of Contents

Analysis

  • Selection Criteria
  • Relational Database Management Systems
    • Established RDBMSs
    • Distributed, Multinode “Scale-Out” RDBMSs
    • Column-Oriented Data Stores
  • Nonrelational and Other Data Stores
    • Key-Value Data Stores
    • Document Data Stores
    • Wide-Column Data Stores
    • Graph Data Stores
    • Search Data Stores
    • Hadoop Ecosystem’s Data Stores
    • Object Stores
    • Time Series Databases
    • Embedded Databases
    • GPU Databases
    • Emerging Data Stores
  • Strengths
  • Weaknesses

Guidance

The Details

  • Consistency and Eventual Consistency
    • Eventual Consistency Problem 1: Lost Updates
    • Eventual Consistency Problem 2: Incorrect Write Sequences
    • Eventual Consistency Safeguards
  • Open Source/Proprietary
  • Deployment
  • Standards/Ecosystem
  • Data Ingest
  • Data Access
  • Performance
  • Scalability
  • Availability/Reliability
  • Security/Governance
    • Transparent Data Encryption
    • Access Control
    • Metadata Management and Data Governance
    • Security Measures
  • Ease of Adoption
  • Cost
  • Product/Vendor

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