List of SAS/CONNECT Customers
Cary, 27513-2414, NC,
United States
Since 2010, our global team of researchers has been studying SAS/CONNECT 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 SAS/CONNECT for API 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 SAS/CONNECT for API Management include: Centers for Disease Control and Prevention (CDC), a United States based Government organisation with 10899 employees and revenues of $11.10 billion, Statistics Canada, a Canada based Government organisation with 6910 employees and revenues of $533.0 million, Ehpniehs Cardullo Niehs, a United States based Government organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS/CONNECT, 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.
The SAS/CONNECT 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 software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Centers for Disease Control and Prevention (CDC) | Government | 10899 | $11.1B | United States | SAS Institute | SAS/CONNECT | API Management | 2009 | n/a |
In 2009, the Centers for Disease Control and Prevention implemented SAS/CONNECT as part of the Data Automated Transfer Utility, using SAS/CONNECT to orchestrate transfers of approximately 180,000 mainframe files totaling roughly 16 TB to a Windows based SAS Grid to support public health analytics and data management in the United States. The implementation is categorized under API Management and positioned SAS/CONNECT as the connectivity and session orchestration layer between mainframe file stores and the SAS Grid compute environment.
The project focused on data migration and analytics, with explicit functional capabilities for file translation and validation, automated batch transfer workflows, and verification of translated file integrity. Configuration emphasized scalable transfer processes, job scheduling integration with the SAS Grid, and programmatic control of remote sessions via SAS/CONNECT to enable repeatable, auditable migration pipelines.
Operational scope covered CDC data management and public health analytics use cases, ingesting mainframe file sources into Windows based SAS Grid storage and compute, and consolidating transfer orchestration within DATU. Governance changes included standardized validation steps, automated verification checkpoints, and documented transfer procedures to operationalize the migration, and the implementation delivered an automated, scalable migration process as its primary outcome.
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Ehpniehs Cardullo Niehs | Government | 10 | $1M | United States | SAS Institute | SAS/CONNECT | API Management | 2003 | n/a |
In 2003, Ehpniehs Cardullo Niehs implemented SAS/CONNECT to support high-performance genetic research and large-scale data processing in the United States. The deployment positioned SAS/CONNECT as an API Management layer to orchestrate distributed compute and remote submit workflows for genomics analysis.
SAS/CONNECT was configured to distribute and run large computational jobs across networked compute nodes, enabling parallel processing, remote session management, and staged data transfer for batch analyses. Operational scope focused on research computing for genomics, with data scientists and computational biologists using job orchestration and remote submit capabilities. Governance and process changes included formalizing submission workflows and scheduling policies to manage high-throughput runs and node utilization.
The implementation realized dramatic runtime improvements on key projects, with reported reductions in total elapsed execution time up to 95 percent on large-scale analyses in the United States. SAS/CONNECT served as the application-level conduit between computational workflows and underlying compute resources, providing API Management style orchestration for research and data processing in genomics.
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Statistics Canada | Government | 6910 | $533M | Canada | SAS Institute | SAS/CONNECT | API Management | 2011 | n/a |
In 2011, Statistics Canada implemented SAS/CONNECT as an API Management solution to secure remote analytics execution and address encryption requirements for sensitive data. SAS/CONNECT was deployed to support IT security for analytics infrastructure, enabling controlled remote SAS sessions and secure remote execution of analytical workloads.
Configuration and architecture centered on SSH tunneling to secure remote SAS sessions, providing encrypted transport and session isolation for distributed analytics processing. The work documented session management, tunneling configuration, and encryption controls, reflecting capabilities typical of API Management implementations such as connection orchestration, authentication alignment, and protected execution flows.
Operational coverage focused on networked environments in Canada, with documentation provided to IT and security teams to standardize deployment and operational procedures. Statistics Canada documented the use of SAS/CONNECT and the SSH tunneling configuration to establish a hardened, best-practice approach to running SAS/CONNECT across networked environments to protect sensitive data.
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