In-memory OLAP Database Market Global Briefing and Future Outlook 2018 to 2025
ReportsWeb newly added the Global In-memory OLAP Database Market Report that gives meticulous investigation of current scenario of the Market size, share, demand, growth, trends, and forecast in the coming years.
(EMAILWIRE.COM, October 03, 2018 ) 2018-2023 Global In-memory OLAP Database Market Report Status and Outlook
In-memory OLAP is the method by which analytical data is loaded into memory for live calculations and querying. Because the data is loaded into memory, running queries (or, in OLAP terms, slicing and dicing), can be faster then with traditional relational on-line analytical processing (ROLAP), multidimensional OLAP (MOLAP) and hybrid systems. Since the data resides in the RAM, the system does not need to reach out to a database or a physical file which may further entail additional network operations and disk read/write operations. Furthermore, traditional cubes store pre-calculated data and results which can then be queried. This limits the number of pre-calculated combinations. With RAM-based analytics, these calculations can sometimes be just as quickly generated on the fly.
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Companies Profiled in this report includes: Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, VoltDB
A number of established and new vendors have come out with in-memory OLAP technologies. While the concept is at least a decade old, it is gaining more acceptance due to cheaper Random Access Memory (RAM) and faster CPU speeds.
Get Discount of this report: https://www.reportsweb.com/inquiry&RW00012255174/discount
This report presents a comprehensive overview, market shares and growth opportunities of In-memory OLAP Database market by product type, application, key companies and key regions.
Research objectives
To study and analyze the global In-memory OLAP Database market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of In-memory OLAP Database market by identifying its various subsegments.
Focuses on the key global In-memory OLAP Database players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the In-memory OLAP Database with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of In-memory OLAP Database submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Table of Content:
2018-2023 Global In-memory OLAP Database Market Report (Status and Outlook)
1 Scope of the Report
2 Executive Summary
3 Global In-memory OLAP Database by Players
4 In-memory OLAP Database by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global In-memory OLAP Database Market Forecast
11 Key Players Analysis
11.1 Altibase
11.1.1 Company Details
11.1.2 In-memory OLAP Database Product Offered
11.1.3 Altibase In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018)
11.1.4 Main Business Overview
11.1.5 Altibase News
11.2 IBM
11.2.1 Company Details
11.2.2 In-memory OLAP Database Product Offered
11.2.3 IBM In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018)
11.2.4 Main Business Overview
11.2.5 IBM News
11.3 Microsoft
11.3.1 Company Details
11.3.2 In-memory OLAP Database Product Offered
11.3.3 Microsoft In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018)
11.3.4 Main Business Overview
11.3.5 Microsoft News
11.4 Oracle
Complete Report: https://www.reportsweb.com/buy&RW00012255174/buy/4660
Contact Info:
Name: Sameer Joshi
Email: sales@reportsweb.com
Company Name: ReportsWeb
Website: Reportsweb.com
Phone: +1-646-491-9876
About ReportsWeb:
ReportsWeb.com is a one stop shop of Market research reports and solutions to various companies across the globe. We help our clients in their decision support system by helping them choose most relevant and cost effective research reports and solutions from various publishers. We provide best in class customer service and our customer support team is always available to help you on your research queries.
In-memory OLAP is the method by which analytical data is loaded into memory for live calculations and querying. Because the data is loaded into memory, running queries (or, in OLAP terms, slicing and dicing), can be faster then with traditional relational on-line analytical processing (ROLAP), multidimensional OLAP (MOLAP) and hybrid systems. Since the data resides in the RAM, the system does not need to reach out to a database or a physical file which may further entail additional network operations and disk read/write operations. Furthermore, traditional cubes store pre-calculated data and results which can then be queried. This limits the number of pre-calculated combinations. With RAM-based analytics, these calculations can sometimes be just as quickly generated on the fly.
Get sample copy of this report: https://www.reportsweb.com/inquiry&RW00012255174/sample
Companies Profiled in this report includes: Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, VoltDB
A number of established and new vendors have come out with in-memory OLAP technologies. While the concept is at least a decade old, it is gaining more acceptance due to cheaper Random Access Memory (RAM) and faster CPU speeds.
Get Discount of this report: https://www.reportsweb.com/inquiry&RW00012255174/discount
This report presents a comprehensive overview, market shares and growth opportunities of In-memory OLAP Database market by product type, application, key companies and key regions.
Research objectives
To study and analyze the global In-memory OLAP Database market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of In-memory OLAP Database market by identifying its various subsegments.
Focuses on the key global In-memory OLAP Database players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the In-memory OLAP Database with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of In-memory OLAP Database submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Table of Content:
2018-2023 Global In-memory OLAP Database Market Report (Status and Outlook)
1 Scope of the Report
2 Executive Summary
3 Global In-memory OLAP Database by Players
4 In-memory OLAP Database by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global In-memory OLAP Database Market Forecast
11 Key Players Analysis
11.1 Altibase
11.1.1 Company Details
11.1.2 In-memory OLAP Database Product Offered
11.1.3 Altibase In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018)
11.1.4 Main Business Overview
11.1.5 Altibase News
11.2 IBM
11.2.1 Company Details
11.2.2 In-memory OLAP Database Product Offered
11.2.3 IBM In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018)
11.2.4 Main Business Overview
11.2.5 IBM News
11.3 Microsoft
11.3.1 Company Details
11.3.2 In-memory OLAP Database Product Offered
11.3.3 Microsoft In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018)
11.3.4 Main Business Overview
11.3.5 Microsoft News
11.4 Oracle
Complete Report: https://www.reportsweb.com/buy&RW00012255174/buy/4660
Contact Info:
Name: Sameer Joshi
Email: sales@reportsweb.com
Company Name: ReportsWeb
Website: Reportsweb.com
Phone: +1-646-491-9876
About ReportsWeb:
ReportsWeb.com is a one stop shop of Market research reports and solutions to various companies across the globe. We help our clients in their decision support system by helping them choose most relevant and cost effective research reports and solutions from various publishers. We provide best in class customer service and our customer support team is always available to help you on your research queries.
Contact Information:
ReportsWeb.com
Rajat Sahni
Tel: +1-646-491-9876
Email us
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ReportsWeb.com
Rajat Sahni
Tel: +1-646-491-9876
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results