List of Microsoft Azure Synapse Analytics Customers
Redmond, 98052-6399, WA,
United States
Since 2010, our global team of researchers has been studying Microsoft Azure Synapse Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Microsoft Azure Synapse Analytics for Data Warehouse from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Microsoft Azure Synapse Analytics for Data Warehouse include: Walgreens, a United States based Retail organisation with 206000 employees and revenues of $139.08 billion, Bank of America, a United States based Banking and Financial Services organisation with 213000 employees and revenues of $101.89 billion, Vinci, a France based Manufacturing organisation with 282241 employees and revenues of $83.88 billion, Allstate, a United States based Insurance organisation with 55000 employees and revenues of $67.69 billion, Merck, a United States based Life Sciences organisation with 73000 employees and revenues of $64.17 billion and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Synapse Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Allstate | Insurance | 55000 | $67.7B | United States | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2021 | n/a |
In 2021, Allstate implemented Microsoft Azure Synapse Analytics as a centralized Data Warehouse to consolidate analytic storage and support cross functional reporting. The Microsoft Azure Synapse Analytics deployment was used to design and persist data models inside Azure Blob Storage and Synapse Analytics, establishing a unified analytic repository for financial and operational reporting workflows.
The implementation included structured ingestion and transformation pipelines using Azure Data Factory together with ETL processes that landed transactional datasets from MySQL sources and Hadoop clusters into Synapse. Configuration work emphasized data modeling, automated data quality checks and validation scripts written in Python, and automated report generation using R Markdown and knitr, while Tableau was used for dynamic visualization and parameter driven analysis.
Integrations cited in the implementation narrative include Azure Blob Storage, Azure Data Factory, MySQL databases, Hadoop for scalable processing, Tableau for reporting, Jupyter Notebook for advanced analytics and SAS Customer Intelligence Studio for segmentation workflows, with Google Analytics and Salesforce contributing inputs for closed loop reporting. Operational coverage touched finance and operational reporting workflows and marketing analytics, reflecting use cases for monthly resource allocations, financial accuracy checks and marketing strategy insights.
Governance and process changes accompanied the rollout, including automated data quality and validation pipelines, Jenkins based monitoring and customized Jira workflows to standardize ETL change control and issue triage. The implementation narrative explicitly links Microsoft Azure Synapse Analytics to improved accuracy in financial and operational reporting and to enhanced marketing strategies, describing Allstate Microsoft Azure Synapse Analytics Data Warehouse as the core platform supporting analytics, reporting and data governance across finance, operations and marketing functions.
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Australian Pacific Airports (Melbourne Airport) | Transportation | 405 | $800M | Australia | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2022 | n/a |
In 2022 Australian Pacific Airports (Melbourne Airport) implemented Microsoft Azure Synapse Analytics as a central component of a new Data Warehouse and data lakehouse platform to reimagine passenger experience and reporting. The deployment is positioned to give employees self service access to large volumes of operational and customer data, enabling reporting and analytics without heavy technical dependence.
The implementation architecture runs entirely on Microsoft Azure and explicitly combines Microsoft Azure Synapse Analytics with Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL and dedicated SQL pools to form a lakehouse style Data Warehouse. Functional capabilities implemented include self service reporting and business intelligence, real time operational visibility and instrumentation, and a foundation for future AI and machine learning use cases, with Azure Databricks used for data engineering and transformation and Microsoft Azure Synapse Analytics used for analytics and dedicated SQL compute.
Integrations and operational coverage reflect aviation and ground operations use cases, the platform ingests passenger flow and check in data to inform queue and resource allocation decisions, parking and staffing data to forecast vendor and cleaning needs, and is being positioned to accept Internet of Things feeds for predictive maintenance on infrastructure. The program was built in partnership with Microsoft’s Aviation, Transport and Automotive Data Specialist team and Databricks teams, and leverages Microsoft AI tooling to extend analytics toward predictive maintenance and safety monitoring.
Governance and rollout include executive sponsorship between Melbourne Airport and Microsoft, an emphasis on democratizing data access while protecting privacy and security, and ongoing bi weekly training and technical enablement run by the Microsoft Data and AI team. The platform is described by Melbourne Airport as easy to manage and scalable, enabling broader dataset availability across business units and supporting operational, security and sustainability objectives while providing a governed foundation for further analytics investment.
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Bank of America | Banking and Financial Services | 213000 | $101.9B | United States | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2017 | n/a |
In 2017, Bank of America implemented Microsoft Azure Synapse Analytics as a central Data Warehouse platform to support enterprise analytics and operational reporting. This implementation placed Microsoft Azure Synapse Analytics at the center of an MPP oriented cloud architecture, provisioned as Azure PaaS services to host enterprise warehouse systems and downstream business applications.
The deployment emphasized core data warehousing capabilities including distributed query processing, workload management, advanced SQL and T SQL stored procedure development, partitioning and indexing strategies, and query performance tuning. Functional modules and capabilities implemented included Synapse SQL pools, Spark notebooks for ETL and transformation, Azure Data Factory orchestration, Azure SQL Database and CosmosDB for operational data needs, and Azure Storage accounts for data lake and archival layers.
Operational scope covered multiple cloud database instances across development, UAT and production, with defined processes for storage management, archive and restore, disaster recovery and high availability. Security implementation followed Azure RBAC and database role patterns, with SSO onboarding using Active Directory based authentication and administrative automation built with PowerShell and Cloud Shell and Azure Resource Manager templates.
Governance and process changes included integration with Agile delivery and DevOps workflows, using JIRA for issue management, Bitbucket for source control, CI CD pipelines for release automation, Ansible for configuration tasks and Remedy for change management. The engineering role emphasized design review, test suite contribution including integration and regression testing, definition of key performance indicators and internal controls, and close collaboration with engineering, operations and production support teams.
Ongoing operational responsibilities specified in the implementation included monitoring and tuning of Synapse Analytics workloads, managing access control and corporate access policies, building automation scripts and tooling for system management, and mentoring junior data engineers to support consistent delivery and maintenance of the Data Warehouse environment.
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Retail | 900 | $271M | Australia | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2020 | n/a |
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Insurance | 31000 | $13.0B | United States | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2018 | n/a |
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Utilities | 13008 | $8.1B | Brazil | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2019 | n/a |
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Government | 4000 | $1.0B | United Kingdom | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2019 | n/a |
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Distribution | 35000 | $29.7B | United States | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2020 | n/a |
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Transportation | 582 | $180M | Italy | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2022 | n/a |
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Construction and Real Estate | 10000 | $4.3B | New Zealand | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2018 | n/a |
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Buyer Intent: Companies Evaluating Microsoft Azure Synapse Analytics
- Burgoyne Management, a United Kingdom based Professional Services organization with 96 Employees
- Symphony Risk Solutions, a United States based Insurance company with 112 Employees
- SABIC, a Saudi Arabia based Oil, Gas and Chemicals organization with 32000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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