Data as a Service (DaaS) Market and Forecasts 2014 - 2019

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Albany, NY -- (SBWIRE) -- 10/30/2014 -- Data as a Service (DaaS) is defined as any service offered wherein users can access vendor provided databases or host their own databases on vendor managed systems. DaaS is expected to grow significantly in the near future due to a few dominant themes including cloud-based infrastructure/services, enterprise data syndication, and the consumer services trend towards Everything as a Service (XaaS). In addition, vendor managed systems provide necessary scalability and security for sustainable services execution.

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The DaaS market is expected to continue to expand alongside the cloud services model over the next decade. This research evaluates the DaaS ecosystem including technologies, companies, and solutions. The report assesses market opportunities and provides a market outlook and forecast through 2019. The report also includes a vendor analysis segmented by three categories (1) The largest companies providing DaaS at an infrastructural level and handling big data, (2) Mid-sized companies that tend to operate in other areas such as business intelligence, CRM, etc.) and (3) Smaller companies that offer DaaS as an integrated service with SaaS for focused analytical perspectives on specific markets.

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Target Audience:

Telecom companies
Data services companies
Cloud services companies
Data infrastructure providers
Network and application integrators
Intermediaries and mediation companies

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Key Findings:

Forecast for DaaS through 2019
Understand the DaaS ecosystem
Identify key players and strategies
Understand DaaS technologies and tools
Recognize the importance of data mediation
Understand data management best practices
Understand the importance of managed systems
Identify the relationship between DaaS and cloud

Table of Contents

1 Introduction 8
1.1 Executive Summary 8
1.2 Topics Covered 10
1.3 Key Findings 11

2 DaaS Technologies 12
2.1 Cloud 12
2.2 Database Approaches and Solutions 13
2.2.1 Relational Database Management System (RDBS) 13
2.2.2 NoSQL 14
2.2.3 Hadoop 15
2.2.4 High Performance Computing Cluster (HPCC) 17
2.2.5 OpenStack 18
2.3 DaaS and the XaaS Ecosystem 18
2.4 Open Data Center Alliance 21

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3 DaaS Market 23
3.1 Market Overview 23
3.1.1 Data Structure 24
3.1.2 Specialization 25
3.1.3 Vendors 27
3.2 Vendor Analysis and Prospects 28
3.2.1 Large Vendors: BDaaS 28
3.2.2 Mid-sized Vendors 33
3.2.3 Small Vendors: DaaS and SaaS 34
3.2.4 Market Size: BDaaS vs. RDBMS 36
3.3 Market Drivers and Constraints 37
3.3.1 Drivers 37
3.3.2 Constraints 39
3.4 Market Share and Geographic Influence 41

4 DaaS Strategies 60
4.1 General Strategies 60
4.1.1 Tiered Data Focus 60
4.1.2 Value-based Pricing 62
4.1.3 Open Development Environment 63
4.2 Specific Strategies 64
4.2.1 Service Ecosystem and Platforms 64
4.2.2 Bringing to Together Multiple Sources for Mash-ups 66

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