2 Global SQL In-Memory Database Quarterly Market Size Analysis

• 2.1 SQL In-Memory Database Business Impact Assessment - COVID-19
  • 2.1.1 Global SQL In-Memory Database Market Size, Pre-COVID-19 and Post- COVID-19 Comparison, 2015-2026
• 2.2 Global SQL In-Memory Database Quarterly Market Size 2020-2021
• 2.3 COVID-19-Driven Market Dynamics and Factor Analysis
  • 2.3.1 Drivers
  • 2.3.2 Restraints
  • 2.3.3 Opportunities
  • 2.3.4 Challenges

3 Quarterly Competitive Assessment, 2020

• 3.1 By Players, Global SQL In-Memory Database Quarterly Market Size, 2019 VS 2020
• 3.2 By Players, SQL In-Memory Database Headquarters and Area Served
• 3.3 Date of Key Players Enter into SQL In-Memory Database Market
• 3.4 Key Players SQL In-Memory Database Product Offered
• 3.5 Mergers & Acquisitions, Expansion Plans

4 Impact of Covid-19 on SQL In-Memory Database Segments, By Type

• 4.1 Introduction
  • 1.4.1 Type I
  • 1.4.2 Type II
• 4.2 By Type, Global SQL In-Memory Database Market Size, 2019-2021

5 Impact of Covid-19 on SQL In-Memory Database Segments, By Application

• 5.1 Overview
  • 5.5.1 Transaction
  • 5.5.2 Reporting
  • 5.5.3 Analytics
• 5.2 By Application, Global SQL In-Memory Database Market Size, 2019-2021
  • 5.2.1 By Application, Global SQL In-Memory Database Market Size by Application, 2019-2021

6 Geographic Analysis

• 6.1 Introduction
• 6.2 North America
  • 6.2.1 Macroeconomic Indicators of US
  • 6.2.2 US
  • 6.2.3 Canada
• 6.3 Europe
  • 6.3.1 Macroeconomic Indicators of Europe
  • 6.3.2 Germany
  • 6.3.3 France
  • 6.3.4 UK
  • 6.3.5 Italy
• 6.4 Asia-Pacific
  • 6.4.1 Macroeconomic Indicators of Asia-Pacific
  • 6.4.2 China
  • 6.4.3 Japan
  • 6.4.4 South Korea
  • 6.4.5 India
  • 6.4.6 ASEAN
• 6.5 Rest of World
  • 6.5.1 Latin America
  • 6.5.2 Middle East and Africa

7 Company Profiles

• 7.1 MicrosoftCorporation
  • 7.1.1 MicrosoftCorporation Business Overview
  • 7.1.2 MicrosoftCorporation SQL In-Memory Database Quarterly Revenue, 2020
  • 7.1.3 MicrosoftCorporation SQL In-Memory Database Product Introduction
  • 7.1.4 MicrosoftCorporation Response to COVID-19 and Related Developments
• 7.2 IBM
  • 7.2.1 IBM Business Overview
  • 7.2.2 IBM SQL In-Memory Database Quarterly Revenue, 2020
  • 7.2.3 IBM SQL In-Memory Database Product Introduction
  • 7.2.4 IBM Response to COVID-19 and Related Developments
• 7.3 Oracle
  • 7.3.1 Oracle Business Overview
  • 7.3.2 Oracle SQL In-Memory Database Quarterly Revenue, 2020
  • 7.3.3 Oracle SQL In-Memory Database Product Introduction
  • 7.3.4 Oracle Response to COVID-19 and Related Developments
• 7.4 SAP
  • 7.4.1 SAP Business Overview
  • 7.4.2 SAP SQL In-Memory Database Quarterly Revenue, 2020
  • 7.4.3 SAP SQL In-Memory Database Product Introduction
  • 7.4.4 SAP Response to COVID-19 and Related Developments
• 7.5 Teradata
  • 7.5.1 Teradata Business Overview
  • 7.5.2 Teradata SQL In-Memory Database Quarterly Revenue, 2020
  • 7.5.3 Teradata SQL In-Memory Database Product Introduction
  • 7.5.4 Teradata Response to COVID-19 and Related Developments
• 7.6 Amazon
  • 7.6.1 Amazon Business Overview
  • 7.6.2 Amazon SQL In-Memory Database Quarterly Revenue, 2020
  • 7.6.3 Amazon SQL In-Memory Database Product Introduction
  • 7.6.4 Amazon Response to COVID-19 and Related Developments
• 7.7 Tableau
  • 7.7.1 Tableau Business Overview
  • 7.7.2 Tableau SQL In-Memory Database Quarterly Revenue, 2020
  • 7.7.3 Tableau SQL In-Memory Database Product Introduction
  • 7.7.4 Tableau Response to COVID-19 and Related Developments
• 7.8 Kognitio
  • 7.8.1 Kognitio Business Overview
  • 7.8.2 Kognitio SQL In-Memory Database Quarterly Revenue, 2020
  • 7.8.3 Kognitio SQL In-Memory Database Product Introduction
  • 7.8.4 Kognitio Response to COVID-19 and Related Developments
• 7.9 Volt
  • 7.9.1 Volt Business Overview
  • 7.9.2 Volt SQL In-Memory Database Quarterly Revenue, 2020
  • 7.9.3 Volt SQL In-Memory Database Product Introduction
  • 7.9.4 Volt Response to COVID-19 and Related Developments
• 7.10 DataStax
  • 7.10.1 DataStax Business Overview
  • 7.10.2 DataStax SQL In-Memory Database Quarterly Revenue, 2020
  • 7.10.3 DataStax SQL In-Memory Database Product Introduction
  • 7.10.4 DataStax Response to COVID-19 and Related Developments
• 7.11 ENEA
  • 7.11.1 ENEA Business Overview
  • 7.11.2 ENEA SQL In-Memory Database Quarterly Revenue, 2020
  • 7.11.3 ENEA SQL In-Memory Database Product Introduction
  • 7.11.4 ENEA Response to COVID-19 and Related Developments
• 7.12 McObjectLLC
  • 7.12.1 McObjectLLC Business Overview
  • 7.12.2 McObjectLLC SQL In-Memory Database Quarterly Revenue, 2020
  • 7.12.3 McObjectLLC SQL In-Memory Database Product Introduction
  • 7.12.4 McObjectLLC Response to COVID-19 and Related Developments
• 7.13 Altibase
  • 7.13.1 Altibase Business Overview
  • 7.13.2 Altibase SQL In-Memory Database Quarterly Revenue, 2020
  • 7.13.3 Altibase SQL In-Memory Database Product Introduction
  • 7.13.4 Altibase Response to COVID-19 and Related Developments

8 Key Findings

9 Appendix

• 9.1 About US

This report covers market size and forecasts of SQL In-Memory Database, including the following market information:
Global SQL In-Memory Database Market Size, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global SQL In-Memory Database Market Size by Type and by Application, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global SQL In-Memory Database Market Size by Region (and Key Countries), 2019-2021, and 2020 (quarterly data), (US$ Million)
Global SQL In-Memory Database Market Size by Company, 2019- 2020 (quarterly data), (US$ Million)

Key market players
Major competitors identified in this market include MicrosoftCorporation, IBM, Oracle, SAP, Teradata, Amazon, Tableau, Kognitio, Volt, DataStax, ENEA, McObjectLLC, Altibase, etc.

Based on the Region:
Asia-Pacific (China, Japan, South Korea, India and ASEAN)
North America (US and Canada)
Europe (Germany, France, UK and Italy)
Rest of World (Latin America, Middle East & Africa)

Based on the Type:
Type I
Type II

Based on the Application:
Transaction
Reporting
Analytics