List of Microsoft SQL Server Customers
Redmond, 98052-6399, WA,
United States
Since 2010, our global team of researchers has been studying Microsoft SQL Server 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 SQL Server for Database Management 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 SQL Server for Database Management include: Costco, a United States based Retail organisation with 333000 employees and revenues of $254.45 billion, Ayala Corporation, a Philippines based Banking and Financial Services organisation with 60150 employees and revenues of $232.46 billion, Allstate, a United States based Insurance organisation with 55000 employees and revenues of $67.69 billion, Tata Motors, a India based Manufacturing organisation with 91496 employees and revenues of $49.62 billion, Woolworths Group, a Australia based Retail organisation with 201413 employees and revenues of $44.36 billion and many others.
Contact us if you need a completed and verified list of companies using Microsoft SQL Server, 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 IaaS software purchases.
The Microsoft SQL Server customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of IaaS software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Accela | Professional Services | 600 | $253M | United States | Microsoft | Microsoft SQL Server | Database Management | 2020 | n/a |
In 2020, Accela deployed Microsoft SQL Server for Database Management to support its government-facing product suite and implementation workflows. The deployment was executed in conjunction with technical support activities, with configuration and provisioning work performed by technical staff based in Draper, Utah during the Feb 2020 to Feb 2021 engagement window.
Microsoft SQL Server was configured across standard Database Management components including database instances, schema design, T-SQL stored procedures, maintenance routines for backup and recovery, and security role configurations. Database configuration included scripted deployments and maintenance plans to align with application release cycles and to support operational continuity for Accela products.
Integrations were implemented between the database layer and Accela application adapters, including support for custom Javascript extensions and application tier implementations in Java and ASP.NET, enabling transactional data access and stored procedure driven workflows. Operational coverage included technical support engineers resolving customer and partner incidents, configuring servers and adapters, and embedding database configuration into Accela product implementations.
Governance and operational ownership were centered on product and support teams, who controlled schema changes, managed release related database deployments, and maintained support procedures for escalations. Processes emphasized controlled configuration, scripted change management, and alignment of Database Management operations with Accela product lifecycles.
|
|
|
Active Health Management | Professional Services | 800 | $150M | United States | Microsoft | Microsoft SQL Server | Database Management | 2016 | n/a |
In 2016 Active Health Management developed queries in Microsoft SQL Server as part of a Database Management implementation to provide performance analytics and populate dashboards and templates for senior leadership. The Microsoft SQL Server Database was used to centralize KPI data feeding real time dashboards and daily revenue reports for product lines.
The team developed and maintained performance dashboards that provided real time statuses of KPIs used to monitor overall operational performance, and implemented automated alerts that triggered when KPIs became non compliant. Automated query routines produced daily updates on revenue performance across products and populated recurring templates for executive review.
Operational scope covered monitoring product and program effectiveness for lifestyle coaching and disease management services, and the SQL Server based reporting supported guidance to coaches and nurses to optimize performance. Business functions impacted included program management, care delivery operations, client reporting, and revenue monitoring, with analytics used to increase member participation and raise member satisfaction.
Governance work included analyzing RFPs and contractual performance obligations, using historical KPI results stored in Microsoft SQL Server to assess risk associated with proposed performance guarantees, and providing guidance to senior leadership. The implementation emphasized operational analytics, alerting workflows, and staff recommendations to align program performance with contractual requirements.
|
|
|
Advantage Pharmacy Group | Life Sciences | 150 | $20M | Australia | Microsoft | Microsoft SQL Server | Database Management | 2013 | n/a |
In 2013, Advantage Pharmacy Group implemented Microsoft SQL Server as a centralized data warehouse and BI platform. The Microsoft SQL Server deployment functioned as the core Database Management system consolidating transactional and analytical workloads for the organization.
The Microsoft SQL Server implementation ingested and normalized data from multiple source systems including Epicor ERP, Precise Business Solutions, Fred Dispense Software, a customized store loyalty system, and Spaceman Planogram Software. Implementation work focused on ETL and staging layers, dimensional reporting marts for operational reporting, and BI provisioning to support scheduled reporting and ad hoc analytics.
Operational coverage for the Microsoft SQL Server environment included retail store operations and corporate analytics workflows, supporting pharmacy dispensing, merchandising, loyalty management, and finance functions across Advantage Pharmacy Group in Australia. Data access and reporting were centralized through the Database Management platform to provide unified operational and management views.
Governance around the Microsoft SQL Server data warehouse emphasized standardized ETL processes, data quality validation routines, and centralized report distribution and access controls. The program established a single data repository for downstream consumption by reporting and analytics tools, aligning operational data flows with corporate reporting requirements.
|
|
|
AGL Energy | Utilities | 3900 | $9.7B | Australia | Microsoft | Microsoft SQL Server | Database Management | 2016 | n/a |
In 2016, AGL Energy, Ltd. implemented Microsoft SQL Server as a core Database Management component for its Enterprise Data Platform. The Enterprise Data Platform is described as a centralized Data Lake and Warehouse solution to fulfill analytics needs across business units including customer market, wholesale and group operations. Microsoft SQL Server underpins structured storage for information marts and downstream analytic tables within the EDP.
The implementation encompassed information mart design and information mart modelling tasks, with Raw Vault modelling used for staging and historization of operational feeds. Requirement analysis, system and end-to-end testing, and database testing activities were carried out as part of solution delivery, aligned to data engineer responsibilities. Microsoft SQL Server hosted schema design, SQL-based transformation logic and validation for information marts.
The EDP architecture integrated Azure Data Factory pipelines to type, load and orchestrate data movement into Microsoft SQL Server downstream tables, and Azure Databricks was used to fetch and prepare data from other sources and databases. This configuration positioned Microsoft SQL Server as the Database Management hub for ETL landing zones and curated information marts while ADF and Databricks handled pipeline orchestration and data preparation. The platform supported business functions including analytics, billing experience enhancement initiatives and operational reporting.
Governance and rollout followed agile scrum practices for requirement definition, user story development and iterative delivery, with data engineering teams responsible for raw vault modelling, information mart modelling, ADF pipeline creation and database testing. Operational ownership resided in Corporate Services data engineering, ensuring ongoing maintenance of the Microsoft SQL Server Database Management layer within the EDP.
|
|
|
Allstate | Insurance | 55000 | $67.7B | United States | Microsoft | Microsoft SQL Server | Database Management | 2021 | n/a |
In 2021, Allstate deployed Microsoft SQL Server as its Database Management platform to underpin enterprise reporting and analytics. The deployment focused on supporting business analytics and transaction reporting workloads used by BI and data warehousing teams.
Microsoft SQL Server was configured to host transactional reporting databases and to serve as the central relational store for Business Analytics Dashboards, with SQL Server Reporting Services and SQL Server Integration Services used for report generation and ETL orchestration. Development activities included creating SSRS reports, SSIS packages, and SQL-based ETL transformations to map and move data between tables, views and external file sources.
The implementation integrated Microsoft SQL Server with Power BI and Excel for dashboarding and ad hoc analysis, and coordinated with Data Warehouse Architects to align schema design and data pipelines with the enterprise data warehouse. Source file ingestion streams included XML, Excel, and database tables and views, with mapping and data flow processes documented in functional artifacts.
Governance and rollout followed formal requirements documentation, Business Requirement Documents and Functional Requirement Documents, and project planning using MS Project to manage scope and status. Operational responsibilities were assigned to business analysts and data warehouse teams to resolve technical issues and support the ongoing Business Intelligence environment.
|
|
|
|
Banking and Financial Services | 43094 | $13.4B | Australia | Microsoft | Microsoft SQL Server | Database Management | 2012 | Capgemini |
|
|
|
|
Banking and Financial Services | 60150 | $232.5B | Philippines | Microsoft | Microsoft SQL Server | Database Management | 2014 | n/a |
|
|
|
|
Banking and Financial Services | 6000 | $3.8B | United States | Microsoft | Microsoft SQL Server | Database Management | 2017 | n/a |
|
|
|
|
Consumer Packaged Goods | 100000 | $10.7B | Brazil | Microsoft | Microsoft SQL Server | Database Management | 2021 | n/a |
|
|
|
|
Manufacturing | 5000 | $1.0B | Malaysia | Microsoft | Microsoft SQL Server | Database Management | 2017 | n/a |
|
Buyer Intent: Companies Evaluating Microsoft SQL Server
- Trusted Technologies, a United States based Professional Services organization with 140 Employees
- Northeast State Community College, a United States based Education company with 300 Employees
- Queensland University of Technology, a Australia based Education organization with 4605 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||