List of the Top 8 Data Clean Room Software for Amazon Web Services (AWS) in 2025

Snowflake is a leading AI Data Cloud platform designed to help organizations harness the full potential of their data by breaking down silos and streamlining data management with unmatched scale and simplicity. The platform’s interoperable storage capability offers near-infinite access to data across multiple clouds and regions, enabling seamless collaboration and analytics. Snowflake’s elastic compute engine ensures top-tier performance for diverse workloads, automatically scaling to meet demand and optimize costs. Cortex AI, Snowflake’s integrated AI service, provides enterprises secure access to industry-leading large language models and conversational AI capabilities to accelerate data-driven decision making. Snowflake’s comprehensive cloud services automate infrastructure management, helping businesses reduce operational complexity and improve reliability. Snowgrid extends data and app connectivity globally across regions and clouds with consistent security and governance. The Horizon Catalog is a powerful governance tool that ensures compliance, privacy, and controlled access to data assets. Snowflake Marketplace facilitates easy discovery and collaboration by connecting customers to vital data and applications within the AI Data Cloud ecosystem. Trusted by more than 11,000 customers globally, including leading brands across healthcare, finance, retail, and media, Snowflake drives innovation and competitive advantage. Their extensive developer resources, training, and community support empower organizations to build, deploy, and scale AI and data applications securely and efficiently.

Vendia is a Software as a Service (SaaS) solution that enables effortless sharing of code and data across multiple clouds, regions, and technology stacks for businesses and organizations. By promoting effective collaboration among enterprises, Vendia simplifies the sharing process among different companies, accounts, and environments. Its cutting-edge architecture features a distributed data model that guarantees accessibility wherever necessary, enhanced by a serverless design that facilitates easy scaling. Vendia allows organizations to create a holistic understanding of their data, which is especially beneficial for monitoring and tracing items throughout the supply chain. This data often involves various stakeholders, including suppliers, logistics providers, and partners, which may range from different legal entities to distinct divisions within a single organization. Moreover, it supports situations where departments prefer different cloud services, such as one using AWS while another chooses Azure, showcasing its flexibility. This impressive versatility and adaptability position Vendia as an essential tool for contemporary enterprises tackling intricate data-sharing obstacles. Furthermore, as businesses continue to expand globally, the need for such robust solutions becomes increasingly critical.

Duality Technologies delivers a state-of-the-art privacy-enhancing platform that empowers enterprises to securely collaborate, analyze, and run AI models on sensitive, distributed, or inaccessible data without ever exposing the underlying information. Utilizing cutting-edge Privacy Enhancing Technologies (PETs) such as fully homomorphic encryption, federated learning, and trusted execution environments, Duality ensures data confidentiality, sovereignty, and regulatory compliance throughout the data science lifecycle. The platform enables seamless secure collaboration across organizational boundaries, data silos, and international borders, facilitating use cases in finance, healthcare, government, and marketing. With Duality, organizations can unlock deep insights, improve research capabilities, and accelerate data-driven innovation without the risks associated with data sharing or movement. It integrates effortlessly with major cloud service providers including AWS, Microsoft Azure, and Google Cloud, offering scalable and verifiable compliance-driven workflows. Duality’s collaboration hub manages governance and controls, allowing enterprises to securely share and analyze encrypted data with partner organizations. The platform supports complex AI workloads with privacy-first design, enabling customers to safely evaluate third-party AI models and securely train their own on encrypted datasets. Industry leaders trust Duality to balance powerful data science with uncompromising privacy, driving competitive advantage through secure collaboration. Their technology also underpins government programs requiring post-quantum security and zero-trust principles. Overall, Duality transforms how sensitive data is utilized, allowing organizations to harness AI innovation while maintaining absolute control over privacy and compliance.

Retrieve information from any setting, even amidst a wide range of different environments. To effectively enhance acquisition and retention, it is essential to enrich both data and models. By utilizing machine learning, valuable insights can be discovered by securely integrating proprietary models, such as propensity models, with data, thereby improving customer profiles and models while facilitating rapid scalability. However, merely enriching data is not enough; your team must effectively transition from insights to actionable plans. Streamline the audience segmentation process and launch your campaigns immediately across multiple channels. Make well-informed targeting decisions to maximize budget efficiency and minimize churn rates. It is vital to recognize the best timing and locations for your targeting efforts. Equip yourself with the essential tools to respond to data in real-time. Navigating the entire customer journey, alongside the diverse data types involved, has consistently been a challenge. With the rising demands of privacy regulations and the expanding distribution of data, ensuring secure and straightforward access to intent signals for effective decision-making is now more important than ever, which ultimately leads to improved operational efficiency. Additionally, a comprehensive understanding of these elements can empower organizations to adapt swiftly to changing market dynamics and consumer preferences.

As third-party cookies fade away and data privacy laws tighten, alongside an increase in consumer options to opt-out, valuable insights about customers often remain confined within separate platforms and ecosystems. Enter the LiveRamp Clean Room, which is powered by Habu and designed to elevate your return on ad spend (ROAS) by allowing seamless integration, analysis, and activation of your data across multiple platforms. By leveraging this innovative solution, you will gain a holistic view of performance metrics spanning all advertising channels, such as walled gardens, connected TV services, and social media platforms, which equips you to make strategic decisions based on comprehensive datasets. This cutting-edge tool promotes privacy-focused data collaboration within the growing LiveRamp global ecosystem, revealing new opportunities while enhancing your marketing efforts. Additionally, the platform accelerates the realization of value through a tailored user experience for business professionals, incorporating prebuilt templates and generative AI, as well as advanced analytics for more technically oriented users. Furthermore, you can fine-tune your advertising budget with transparent insights across walled gardens, channels, and cloud environments, ensuring you make the most judicious choices. Ultimately, the LiveRamp Clean Room is an indispensable resource for navigating the evolving terrain of data privacy and marketing analytics, empowering businesses to adapt and thrive in this new landscape. Through such capabilities, companies can not only safeguard their data but also maximize their advertising effectiveness.

Amazon Marketing Cloud (AMC) acts as a secure and privacy-focused clean room solution in the cloud, allowing advertisers to analyze data and build audiences through pseudonymized signals sourced from Amazon Ads and other channels. By merging various signals from different Amazon services, advertisers can conduct flexible inquiries within a secure framework that emphasizes user privacy. Consequently, AMC enables advertisers to utilize personalized insights and specialized audiences to refine their campaign strategies, boost direct marketing initiatives, and make well-informed business decisions. Users can generate customized audience lists by leveraging data from interaction logs, conversion events, and segment information, among other sources. Additionally, the audiences formed within AMC can be easily activated using Amazon DSP. This platform offers deep insights into consumer shopping behaviors across Amazon Ads media and channels, while also measuring the success of advertising efforts on and off the Amazon platform. Ultimately, AMC equips advertisers with essential tools to optimize their marketing strategies effectively. Through its innovative features, AMC not only enhances audience targeting but also ensures that advertisers remain compliant with privacy standards.

Set up clean rooms in minutes and collaborate with your partners while safeguarding raw data privacy. AWS Clean Rooms enables users to quickly and easily create their own clean rooms without the hassle of building, managing, or maintaining custom solutions. Furthermore, companies can utilize APIs to smoothly integrate the features of AWS Clean Rooms into their current workflows. This service empowers organizations and their collaborators to effectively and safely analyze and work together on shared datasets without having to disclose or replicate each other’s sensitive information. With AWS Clean Rooms, users can rapidly construct a secure data clean room and work alongside any other AWS entity to discover valuable insights related to advertising techniques, investment decisions, and research projects. The platform simplifies the extraction of insights from multi-party data, ensuring that data movement is minimal while preserving the integrity of the foundational datasets. Ultimately, AWS Clean Rooms promotes a cooperative atmosphere while prioritizing data privacy and security at its foundation. By adopting this innovative service, businesses can enhance their collaborative efforts, driving better outcomes and more informed decisions.

InfoSum harnesses the boundless possibilities of data by employing its patented privacy-first technology, which enables the linkage of customer records across different companies without the necessity of data sharing. This innovative approach has earned InfoSum the trust of clients in various sectors including financial services, content distribution, connected television, gaming, and entertainment. By facilitating seamless and compliant connections between customer data and partners through privacy-safe, permission-controlled networks, InfoSum stands out in the industry. The applications of InfoSum's technology are diverse, ranging from traditional data onboarding to more intricate scenarios that include the establishment of unique identity platforms, the creation and commercialization of new products and data, and even the formation of entirely new markets. Since its inception in 2015, InfoSum has laid a solid foundation and is now positioned for remarkable growth in the coming years. The company's commitment to innovation continues to drive its momentum in the data landscape.