AWS for Nonprofit Research
Building trust, empowering research: Your trusted partner for mission success
MDRC on AWS
Nonprofits of all sizes are using Amazon Web Services (AWS) to increase support, expand awareness, and advance mission impact locally and globally. Whether you are working to generate donor, member, or volunteer insights through managed databases and analytics, accelerate research through machine learning and AI, optimize program delivery through scalable websites and applications, or just getting started – AWS is here to help.
Benefits of AWS for Research
AWS accelerates scientific discovery by providing researchers with powerful, flexible cloud infrastructure that adapts to their unique needs. Here's why AWS has become the platform of choice for research institutions worldwide:
Easy to get started
AWS removes the technical barriers that traditionally slow down research progress. Rather than spending months setting up infrastructure, researchers can:
- Access pre-configured solutions designed specifically for research workloads
- Use intuitive interfaces that don't require deep cloud engineering expertise
- Scale compute resources instantly when breakthrough moments demand more power
- Focus on science, not servers - letting researchers concentrate on their domain expertise
Enterprise-grade security made simple
Research often involves sensitive data and valuable intellectual property. AWS provides:
- Simplified access management that makes collaboration intuitive while maintaining compliance
- Built-in security controls protecting both PII data and research IP
- Global compliance certifications enabling international research partnerships
- Secure data sharing mechanisms that preserve privacy while enabling reproducible research
Budget-friendly for research realities
AWS understands that research funding operates differently from commercial projects:
- Pay only for what you use - perfect for sporadic, spiky research workloads
- Transparent cost estimation tools help researchers plan within fixed grant budgets
- Granular spending controls at the individual service level prevent budget overruns
- No upfront infrastructure costs - preserve grant money for actual research
Unmatched investment in research
AWS demonstrates long-term commitment to the research community through:
- Direct funding and grants supporting labs and institutions globally
- Dedicated research solutions built to last, giving researchers confidence in platform stability
- Active scientific community where AWS scientists publish, teach, and collaborate
- Continuous innovation driven by Amazon's leadership principles of long-term thinking
Innovation at your fingertips
AWS empowers researchers to push the boundaries of human knowledge with:
- Massive data processing capabilities - analyze petabytes of data in hours, not months
- Cutting-edge AI/ML services accessible without specialized infrastructure
- Quantum computing resources for next-generation research challenges
- Open dataset access enabling global collaboration and accelerating discovery
- State-of-the-art analysis tools that researchers can develop, share, and improve together
The AWS Research Advantage
AWS provides the broadest and deepest portfolio of solutions specifically designed for research needs:
Research Need
|
AWS Solution
|
---|---|
On-demand compute at scale
|
Instantly provision thousands of cores when needed |
Cross-institutional collaboration
|
Secure, compliant data sharing across borders |
Decentralized data management
|
Lifecycle policies that adapt to research phases |
Reproducible research
|
Container services and workflow tools for consistency |
Cutting-edge analysis tools
|
Latest ML/AI services plus community-developed solutions |
Comprehensive security
|
Enterprise-grade protection without complexity |
Why researchers choose AWS
Researchers shouldn't need to become cloud engineers. AWS lets you:
- Start research faster with purpose-built solutions
- Scale effortlessly from laptop to supercomputer-scale workloads
- Collaborate globally while maintaining security and compliance
- Control costs within fixed research budgets
- Access innovation from quantum computing to advanced AI
- Focus on discovery while AWS handles the infrastructure
Use cases
Scientific research
Approximately 40% of our customers fall into this category, spanning areas such as biomedical research and applied science research. These customers typically use high-end scientific equipment like CryoEM machines, genomics sequencers, and lightsheet microscope machines. They produce high-volume, large-scale data sets and have massive computing needs. Many are currently operating on-premises but are striving to accelerate their missions through cloud technology.
Geo-climate research
Our geo-climate customers apply technology to solve complex climate impact challenges, including predicting and preventing natural disasters, analyzing large volumes of climate data, and running large-scale simulations. These organizations require massive computing resources to provide timely and meaningful insights in the face of increasing climate change impacts.
Social policy and impact
This category includes policy impact organizations and think tanks that analyze government policies and their long-term societal impact. While not as compute and storage intensive as other categories, these organizations process large volumes of social media data and leverage modern technology for cutting-edge solutions to support their work.
Advanced technology research
Our advanced technology partners focus on cutting-edge technology research for mission-critical workloads, collaborating with federal government and other high-level pursuits. These organizations typically employ a large number of PhDs and specialize in domains like cybersecurity, placing them at the forefront of technological innovation.
Partners





