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Data Warehouse as a Service (DWaaS) Market by Application (Customer Analytics, Asset Management, Fraud Detection & Threat Management), Usage, Industry Vertical, Deployment Model, Type (EDWaaS & ODS) & Organization Size - Global Forecast to 2023

  • ID: 4745827
  • Report
  • 167 pages
  • Markets and Markets
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The Global Data Warehouse as a Service Market to Grow From USD 1.2 Billion in 2018 to USD 3.4 Billion by 2023

FEATURED COMPANIES

  • 1010data
  • AWS
  • IBM
  • Micro Focus
  • Panoply
  • Solver
  • MORE

Secured management of business data and applications are some of the key factors driving the growth of the market

The author estimates the global data warehouse as a service market to grow from USD 1.2 billion in 2018 to USD 3.4 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 23.8% during the forecast period. The key factors driving the data warehouse as a service market include rising adoption of private cloud coupled with increasing use of column-oriented data warehouse to perform advanced analytics. However, lack of skilled personnel and reluctance to shift from traditional ETL tools to cloud are hindering the growth of the market.

Cloud offering a major cost-effective environment for analytics is a factor driving the adoption of data storage

Organizations have been using data analytics to build strategies for maximizing profits. In addition to increased accessibility and utility, the management of data stored over the cloud requires less expenditure and the user can focus more on the product and staff. The small and medium-sized organizations are focusing on its adoption to compete with the large organizations and gain more access to the data with minimum investments.

Digital transformation to build a digital ecosystem to enable seamless integration among data delivering greater business value is accelerating the growth of hybrid DWaaS

Although the cloud-based services are cost effective, their initial value lies in empowering business transformation. Hybrid deployment has witnessed increased adoption owing to its flexibility to customize solutions as per an organization’s dynamic requirements, and data security and privacy. Also, increased user and resource mobility, ongoing migrations of applications over the cloud, and the emergence of more sophisticated threats are leading organizations to adopt hybrid cloud solutions.

Growing cloud adoption coupled with expanding services by vendors such as Google and Amazon to drive APAC (Asia Pacific) data warehouse as a service market during the forecast period

China is one of the developing economies, which have undergone a tremendous transformation in the areas of manufacturing, telecommunication, and IT. The country has always set a benchmark for providing affordable solutions, which are exported to various parts of the world. Being the most affordable market with a reliable workforce, the data warehouse as a service vendors have shown their interest in establishing the market in this country. Other countries, such as Japan, Singapore, and India, are leading in such adoption, as the vendors are expanding their presence into this region by entering into partnerships with different technology players or distributors to develop their sales channels.

In-depth interviews were conducted with the Chief Executive Officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the data warehouse as a service market.

  • By Company: Tier 1: 20%, Tier 2: 55%, and Tier 3: 25%
  • By Designation: C-Level: 50%, Director Level: 25%, and Others: 25%
  • By Region: North America: 60%, Europe: 20%, APAC: 10%, and RoW: 10%

The major vendors offering data warehouse as a service globally include IBM (US), AWS (US), Google (US), Microsoft (US), Snowflake (US), Teradata (US), SAP (Germany), Micro Focus (UK), Hortonworks (US), Cloudera (US), Actian (US), 1010data (US), Pivotal Software (US), Solver (US), Yellowbrick (US), Panoply (US), MarkLogic (US), MemSQL (US), Netavis (Austria), LUX Fund Technology & Solutions (US), Transwarp Technology (China), Accur8 Software (US), Atscale (US), and Veeva (US). The study includes in-depth competitive analysis of these key players in the data warehouse as a service market with their company profiles, recent developments, and key market strategies.

Research coverage
The data warehouse as a service market revenue is primarily classified into revenues from solutions, tools, and platforms. The revenue is associated with software and platform offerings associated with support and maintenance, training and education, and consulting services. Other segmentation comprises type, usage, application, deployment model, organization size, industry vertical, and region.

Key benefits of the report
The report would help the market leaders/new entrants in this market with the information on the closest approximations of the revenue numbers for the overall data warehouse as a service market and the subsegments. This report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with the information on the key market drivers, restraints, challenges, and opportunities.

Note: Product cover images may vary from those shown
2 of 5

FEATURED COMPANIES

  • 1010data
  • AWS
  • IBM
  • Micro Focus
  • Panoply
  • Solver
  • MORE

1 Introduction
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Market Covered
           1.3.2 Regions Covered
    1.4 Years Considered for the Study
    1.5 Currency Considered
    1.6 Stakeholders

2 Research Methodology
    2.1 Research Data
           2.1.1 Secondary Data
                    2.1.1.1 Key Data From Secondary Sources
           2.1.2 Primary Data
                    2.1.2.1 Breakup of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 Market Breakup and Data Triangulation
    2.3 Market Size Estimation
           2.3.1 Bottom-Up Approach
           2.3.2 Top-Down Approach
    2.4 Market Forecast
    2.5 Research Assumptions and Limitations
    2.6 Limitations

3 Executive Summary

4 Premium Insights
    4.1 Attractive Opportunities in the Data Warehouse as a Service Market
    4.2 Data Warehouse as a Service Market: Market Share, By Region
    4.3 Data Warehouse as a Service Market, Deployment Model
    4.4 Data Warehouse as a Service Market in Europe: Top 3 Applications and Country

5 Market Overview and Industry Trends
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Growing Adoption of Private Cloud
                    5.2.1.2 Increasing Demand for Column-Oriented Data Warehouse Solutions to Perform Advanced Analytics
                    5.2.1.3 Rapid Growth in Data Volumes
                    5.2.1.4 Increasing Need to Comply With Regulations and Standards
           5.2.2 Restraints
                    5.2.2.1 Reluctance to Shift From Traditional Etl Tools to Cloud
           5.2.3 Opportunities
                    5.2.3.1 Growing Application of AI in Data Warehouse
                    5.2.3.2 Growing Demand From SMEs
           5.2.4 Challenges
                    5.2.4.1 Lack of Skilled Personnel and Cloud Data Security
    5.3 Industry Trends
           5.3.1 Data Warehouse as a Service Market: Use Cases
                    5.3.1.1 Use Case 1: Increased Speed of Operation With Cost Reduction
                    5.3.1.2 Use Case 2: Optimize Frauds Related to Tax Reductions
                    5.3.1.3 Use Case 3: Enhancing the Speed of Data Transfer and Automation Over the Cloud
           5.3.2 Regulations
                    5.3.2.1 HIPAA of 1996
                    5.3.2.2 Eu GDPr
                    5.3.2.3 CSCC
                    5.3.2.4 SOX Act of 2002
           5.3.3 Evolution

6 Data Warehouse as a Service Market, By Type

    6.1 Introduction
    6.2 Enterprise Data Warehouse as a Service
           6.2.1 Organizational Need to Consolidate and Operate Data and Provide Access to the Right Users
    6.3 Operational Data Storage
           6.3.1 Benefit of Complementing an Organization’s Current and Future Requirements

7 Data Warehouse as a Service Market, By Usage
    7.1 Introduction
    7.2 Analytics
           7.2.1 Increasing Demand for Higher Data Quality and the Need to Deliver Sound Decision-Making Skills
    7.3 Reporting
           7.3.1 The Increasing Need to Generate Reports Based on Online and Offline Data
    7.4 Data Mining
           7.4.1 Demand for Processes to Optimize Outcomes, Automate Processes, and Extract Impactful Insights

8 Data Warehouse as a Service Market, By Deployment Model
    8.1 Introduction
    8.2 Public Cloud
           8.2.1 Scalability, Flexibility, and Reliability Benefits
    8.3 Private Cloud
           8.3.1 Need for Highly Secure Operating Environment
    8.4 Hybrid Cloud
           8.4.1 Varying Business Demands to Address Threats and Manage Complex Workloads

9 Data Warehouse as a Service Market, By Organization Size
    9.1 Introduction
    9.2 Small and Medium-Sized Enterprises
           9.2.1 Need for Cost-Effective Solutions to Meet Budgets and Lead to Business Growth
    9.3 Large Enterprises
           9.3.1 Need to Manage Huge Heaps of Accumulated Data Over A Public Or Private Cloud

10 Data Warehouse as a Service Market, By Application
     10.1 Introduction
     10.2 Customer Analytics
             10.2.1 Need for Companies to Reduce Their Business Expenditure
     10.3 Risk and Compliance Management
             10.3.1 Need to Ensure Faster Time-To-Analysis in Risk and Compliance Data
     10.4 Asset Management
             10.4.1 Increasing Need for Automation in Multiple Industries
     10.5 Supply Chain Management
             10.5.1 Need for Demand Forecasting for Better Inventory, Production, and Distribution Management
     10.6 Fraud Detection and Threat Management
             10.6.1 Increasing Need to Detect and Identify Fraudulent Activities in Customer Accounts
     10.7 Others

11 Data Warehouse as a Service Market, By Industry Vertical
     11.1 Introduction
     11.2 Banking, Financial Services, and Insurance
             11.2.1 Massive Parallel Processing With Advanced Cloud Data Warehouse to Enable Organizations With Better Activity Monitoring
     11.3 Retail and Ecommerce
             11.3.1 The Need to Understand Real-Time Customers’ Behavior for Improving Decision-Making Skills
     11.4 Healthcare and Pharmaceuticals
             11.4.1 Leveraging Technologies to Manage Patient-Related Critical Information
     11.5 Telecommunications and It
             11.5.1 Data Monetization Compels High-Volume Data Businesses to Benefit From Using Cloud-Based Solutions
     11.6 Government and Public Sector
             11.6.1 The Need to Search and Analyze Real-Time Terrorist Data and Threats
     11.7 Manufacturing
             11.7.1 Gradual Use of Cloud-Based Technologies to Analyze Customers’ Behavior
     11.8 Media and Entertainment
             11.8.1 Increasing Number of Mobile Apps and Customer Base Demand Faster Data Processing Solutions
     11.9 Travel and Hospitality
             11.9.1 The Need to Monitor and Mitigate the Impact of Traffic on Commuters
     11.10 Others

12 Data Warehouse as a Service Market, By Region
     12.1 Introduction
     12.2 North America
             12.2.1 United States
                        12.2.1.1 The Presence of Leading Global Players and Early Adoption of Cloud Solutions
             12.2.2 Canada
                        12.2.2.1 Growing Investments in Data Management Solutions for Better Decision-Making
     12.3 Europe
             12.3.1 United Kingdom
                        12.3.1.1 Strategic Partnerships and Supportive Government Mandates to Drive Business Models in Data-Driven Industries
             12.3.2 Germany
                        12.3.2.1 Numerous Industry Sectors, Such as Pharmaceuticals and Healthcare, to Adopt IoT and Big Data
             12.3.3 France
                        12.3.3.1 Significant Investments in AI and Big Data
             12.3.4 Rest of Europe
     12.4 Asia Pacific
             12.4.1 Japan
                        12.4.1.1 Increasing Investments in New Technologies and Rising Demand to Deal With Huge Data Volumes
             12.4.2 China
                        12.4.2.1 Increasing Digitalization and Regulatory Mandates at the Forefront
             12.4.3 Singapore
                        12.4.3.1 Strategic Partnerships and Acquisitions By Companies
             12.4.4 India
                        12.4.4.1 Increasing Number of Collaborations Between Global and Local Players to Offer Best-In-Class Customer Experience
             12.4.5 Rest of Asia Pacific
     12.5 Middle East and Africa
             12.5.1 Middle East
                        12.5.1.1 UAE, Qatar, and Saudi Arabia to Witness Higher Adoption of Cloud-Based IoT Solutions
             12.5.2 Africa
                        12.5.2.1 Supportive Government Policies
     12.6 Latin America
             12.6.1 Brazil
                        12.6.1.1 Growth in Smart Cities and IoT Technologies to Generate Large Volumes of Data
             12.6.2 Mexico
                        12.6.2.1 The Trend Adopting Data Management Solutions on the Rise
             12.6.3 Rest of Latin America

13 Competitive Landscape
     13.1 Overview
     13.2 Competitive Scenario
             13.2.1 New Product Launches and Product Upgradations
             13.2.2 Partnerships and Collaborations
             13.2.3 Business Expansions
     13.3 DWaaS Market: Prominent Players

14 Company Profiles
(Business Overview, Products/Services/Solutions/Tools/Platforms Offered, Recent Developments, SWOT Analysis, and Author's View)*
     14.1 AWS
     14.2 IBM
     14.3 Microsoft
     14.4 Google
     14.5 Oracle
     14.6 SAP
     14.7 Micro Focus
     14.8 1010data
     14.9 Cloudera
     14.10 Snowflake
     14.11 Pivotal
     14.12 Yellowbrick
     14.13 Hortonworks
     14.14 Teradata Corporation
     14.15 Veeva Systems
     14.16 Accur8 Software
     14.17 Actian
     14.18 Atscale
     14.19 Lux
     14.20 Marklogic
     14.21 Memsql
     14.22 Netavis Software
     14.23 Panoply
     14.24 Solver
     14.25 Transwarp

*Details on Business Overview, Products/ Services/ Solutions/ Tools/ Platforms Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.

15 Appendix
     15.1 Insights From Industry Experts
     15.2 Discussion Guide

List of Tables (74 Tables)

Table 1 United States Dollar Exchange Rate, 2014–2017
Table 2 Factor Analysis
Table 3 Data Warehouse as a Service Market Size and Growth Rate, 2016–2023 (USD Million, Y-O-Y %)
Table 4 Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 5 Enterprise Data Warehouse as a Service: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 6 Operational Data Storage: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 7 Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 8 Analytics: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 9 Reporting: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 10 Data Mining: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 11 Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 12 Public Cloud: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 13 Private Cloud: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 14 Hybrid Cloud: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 15 Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 16 Small and Medium-Sized Enterprises: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 17 Large Enterprises: Data Warehouse-As-Service Market Size, By Region, 2016–2023 (USD Million)
Table 18 Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 19 Customer Analytics: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 20 Risk and Compliance Management: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 21 Asset Management: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 22 Supply Chain Management: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 23 Fraud Detection and Threat Management: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 24 Others: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 25 Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 26 Banking, Financial Services, and Insurance: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 27 Retail and Ecommerce: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 28 Healthcare and Pharmaceuticals: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 29 Telecommunications and It: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 30 Government and Public Sector: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 31 Manufacturing: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 32 Media and Entertainment: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 33 Travel and Hospitality: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 34 Others: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 35 Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 36 North America: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 37 North America: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 38 North America: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 39 North America: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 40 North America: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 41 North America: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 42 North America: Data Warehouse as a Service Market Size, By Country, 2016–2023 (USD Million)
Table 43 Europe: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 44 Europe: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 45 Europe: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 46 Europe: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 47 Europe: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 48 Europe: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 49 Europe: Data Warehouse as a Service Market Size, By Country, 2016–2023 (USD Million)
Table 50 Asia Pacific: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 51 Asia Pacific: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 52 Asia Pacific: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 53 Asia Pacific: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 54 Asia Pacific: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 55 Asia Pacific: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 56 Asia Pacific: Data Warehouse as a Service Market Size, By Country, 2016–2023 (USD Million)
Table 57 Middle East and Africa: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 58 Middle East and Africa: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 59 Middle East and Africa: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 60 Middle East and Africa: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 61 Middle East and Africa: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 62 Middle East and Africa: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 63 Middle East and Africa: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 64 Latin America: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 65 Latin America: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 66 Latin America: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 67 Latin America: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 68 Latin America: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 69 Latin America: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 70 Latin America: Data Warehouse as a Service Market Size, By Country, 2016–2023 (USD Million)
Table 71 New Product Launches and Product Enhancements, 2018
Table 72 Partnerships and Collaborations, 2018
Table 73 Business Expansions, 2016–2018
Table 74 Key Players in the Data Warehouse as a Service Market

List of Figures (46 Figures)

Figure 1 Data Warehouse as a Service Market: Research Design
Figure 2 Breakup of Primary Participants’ Profiles: By Company, Designation, and Region
Figure 3 Data Warehouse as a Service Market: Bottom-Up Approach
Figure 4 Data Warehouse as a Service Market: Top-Down Approach
Figure 5 Data Warehouse as a Service Market Snapshot, By Region, 2018 vs 2023
Figure 6 Data Warehouse as a Service Market Snapshot, By Type, 2018 vs 2023
Figure 7 Data Warehouse as a Service Market Snapshot, By Deployment Model, 2018 vs 2023
Figure 8 Data Warehouse as a Service Market Snapshot, By Usage, 2018 vs 2023
Figure 9 Data Warehouse as a Service Market Snapshot, By Application, 2018 vs 2023
Figure 10 Data Warehouse as a Service Market Snapshot, By Industry Vertical, 2018–2023
Figure 11 Rapid Growth in Data Volumes to Drive the Market
Figure 12 North America to Account for the Highest Market Share in 2018
Figure 13 Private Cloud Segment to Dominate the Market in 2018
Figure 14 Customer Analytics Application and Germany to Hold the Highest Market Shares in 2018
Figure 15 Drivers, Restraints, Opportunities, and Challenges: Data Warehouse as a Service Market
Figure 16 Data Warehouse as a Service Evolution
Figure 17 Operational Data Store Segment to Grow at A Higher CAGR During the Forecast Period
Figure 18 Analytics Segment to Grow at the Highest CAGR During the Forecast Period
Figure 19 On-Premises Deployment Model to Grow at the Highest CAGR During the Forecast Period
Figure 20 Small and Medium-Sized Enterprises Segment to Grow at A Higher CAGR During the Forecast Period
Figure 21 Supply Chain Management Application to Grow at the Highest CAGR During the Forecast Period
Figure 22 Healthcare and Pharmaceuticals Industry Vertical to Grow at the Highest CAGR During the Forecast Period
Figure 23 Asia Pacific to Grow at the Highest CAGR During the Forecast Period
Figure 24 North America: Market Snapshot
Figure 25 Asia Pacific: Market Snapshot
Figure 26 Key Developments By the Leading Players in the Data Warehouse as a Service Market, 2017–2018
Figure 27 AWS: Company Snapshot
Figure 28 SWOT Analysis: AWS
Figure 29 IBM: Company Snapshot
Figure 30 SWOT Analysis: IBM
Figure 31 Microsoft: Company Snapshot
Figure 32 SWOT Analysis: Microsoft
Figure 33 Google: Company Snapshot
Figure 34 SWOT Analysis: Google
Figure 35 Oracle: Company Snapshot
Figure 36 SWOT Analysis: Oracle
Figure 37 SAP: Company Snapshot
Figure 38 SWOT Analysis: SAP
Figure 39 Micro Focus: Company Snapshot
Figure 40 SWOT Analysis: Micro Focus
Figure 41 SWOT Analysis: 1010data
Figure 42 Cloudera: Company Snapshot
Figure 43 Pivotal: Company Snapshot
Figure 44 Hortonworks: Company Snapshot
Figure 45 Teradata Corporation: Company Snapshot
Figure 46 Veeva Systems: Company Snapshot

Note: Product cover images may vary from those shown
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  • 1010data
  • AWS
  • Accur8 Software
  • Actian
  • Atscale
  • Cloudera
  • Google
  • Hortonworks
  • IBM
  • Lux
  • Marklogic
  • Memsql
  • Micro Focus
  • Microsoft
  • Netavis Software
  • Oracle
  • Panoply
  • Pivotal
  • SAP
  • Snowflake
  • Solver
  • Teradata Corporation
  • Transwarp
  • Veeva Systems
  • Yellowbrick
Note: Product cover images may vary from those shown
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