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Amazon Web Services (AWS) Technographics
Amazon Web Services (AWS) Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Amazon Web Services (AWS) and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 135000 Amazon Web Services (AWS) employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
Amazon Web Services (AWS) has purchased the following applications: Culture Amp for Employee Experience in 2015, Faiss for AI Frameworks and Libraries in 2025, Zoom for Audio Video and Web Conferencing in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Amazon Web Services (AWS) is running and its propensity to invest more and deepen its relationship with Culture Amp , Meta , Zoom Video Communications or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Amazon Web Services (AWS) revenues, which have grown to $128.73 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Amazon Web Services (AWS) intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Amazon Web Services (AWS) Tech Stack and Enterprise Applications
Amazon Web Services (AWS) HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Culture Amp | Legacy | Culture Amp | Employee Experience | HCM | n/a | 2015 | 2015 |
In 2015, Amazon Web Services implemented Culture Amp as an Employee Experience platform. Amazon Web Services Culture Amp Employee Experience is presented to employees through a branded portal at aws.cultureamp.com and is used to collect recurring feedback and engagement signals across teams.
Culture Amp was configured to deliver core Employee Experience capabilities typical for the category, including employee engagement surveys, pulse surveys, structured feedback cycles, people analytics and manager-facing action planning workflows. The implementation of Culture Amp included survey design, cadence configuration, analytics dashboards and reporting to support ongoing engagement measurement and people insights.
The deployment is delivered as a cloud-hosted Culture Amp portal surfaced on the aws.cultureamp.com subdomain, enabling centralized administration of surveys and role-based access for HR teams and managers. Operational use emphasizes standardized survey governance, campaign scheduling and manager follow-up processes to embed feedback into people and manager development workflows.
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Amazon Web Services (AWS) AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Meta | Legacy | Faiss | AI Frameworks and Libraries | AI Development | n/a | 2025 | 2025 |
In 2025, Amazon Web Services exposed Faiss as an engine option within Amazon OpenSearch Service k-NN and vector search capabilities, extending that option to OpenSearch Serverless vector collections to support large scale approximate nearest neighbor retrieval. AWS documentation and public blogs in the US region present Faiss under the AI Frameworks and Libraries category and position the library specifically for retrieval augmented generation and semantic search workloads.
Faiss is surfaced as the vector indexing and ANN engine, with configuration choices that include index types, quantization settings, and performance tuning commonly associated with Faiss deployments. These capabilities align with standard AI Frameworks and Libraries functions, enabling dense vector indexing, approximate nearest neighbor search, and model-agnostic vector ingestion pipelines within OpenSearch Service.
Integration points described in AWS guidance include Amazon OpenSearch Service serverless vector collections and examples that pair Faiss based retrieval with Amazon SageMaker JumpStart inference and model provisioning workflows. Documentation emphasizes engine selection at the OpenSearch layer, and shows how Faiss integrates into the search stack for RAG workflows, linking model outputs to vector collections managed inside OpenSearch.
Governance and rollout are driven through AWS published guidance and examples released in 2025, which provide configuration patterns and quantitative option guidance for customers choosing Faiss. The published materials focus on configuration, operational integration with OpenSearch Service, and deployment patterns for customers adopting Faiss as their AI Frameworks and Libraries solution for vector retrieval and semantic search.
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Amazon Web Services (AWS) Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zoom Video Communications | Legacy | Zoom | Audio Video and Web Conferencing | Collaboration | n/a | 2020 | 2020 |
In 2020, Amazon Web Services implemented Zoom from Zoom Video Communications for Audio Video and Web Conferencing on its public-facing website. The implementation embeds Zoom meeting and webinar interfaces into AWS customer touchpoints to support live demos, customer briefings, and interactive sessions delivered through the company web properties.
Zoom is configured to deliver core Audio Video and Web Conferencing capabilities such as scheduled meetings, webinar hosting, screen sharing, recording, and real-time chat, surfaced via web embedding and client SDK patterns. Operational ownership is centralized within AWS web platform and communications teams who manage meeting provisioning, access control, and content lifecycle across the affected web properties.
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Amazon Web Services (AWS) Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Management | Content Management |
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2025 | 2025 |
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Digital Asset Management | Content Management |
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2014 | 2014 |
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Amazon Web Services (AWS) CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Account Based Marketing | CRM |
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2019 | 2019 |
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Account Based Marketing | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2016 | 2016 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2015 | 2015 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2023 | 2023 |
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Amazon Web Services (AWS) PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2018 | 2018 |
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Apps Development | PaaS |
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2025 | 2025 |
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Amazon Web Services (AWS) IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Cloud Storage | IaaS |
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2013 | 2013 |
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Network Management and Monitoring | IaaS |
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2022 | 2023 |
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Amazon Web Services (AWS) CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Network Detection and Response (NDR) | CyberSecurity |
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2023 | 2023 |
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Next Generation Firewall | CyberSecurity |
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2022 | 2023 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2014 | 2014 |
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Security Orchestration, Automation, and Response (SOAR) | CyberSecurity |
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2025 | 2025 |
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IT Decision Makers and Key Stakeholders at Amazon Web Services (AWS)
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Amazon Web Services (AWS) Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||