Best Big Data Platforms for AWS AI Services

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Compare the Top Big Data Platforms that integrate with AWS AI Services as of November 2025

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This a list of Big Data platforms that integrate with AWS AI Services. Use the filters on the left to add additional filters for products that have integrations with AWS AI Services. View the products that work with AWS AI Services in the table below.

What are Big Data Platforms for AWS AI Services?

Big data platforms are systems that provide the infrastructure and tools needed to store, manage, process, and analyze large volumes of structured and unstructured data. These platforms typically offer scalable storage solutions, high-performance computing capabilities, and advanced analytics tools to help organizations extract insights from massive datasets. Big data platforms often support technologies such as distributed computing, machine learning, and real-time data processing, allowing businesses to leverage their data for decision-making, predictive analytics, and process optimization. By using these platforms, organizations can handle complex datasets efficiently, uncover hidden patterns, and drive data-driven innovation. Compare and read user reviews of the best Big Data platforms for AWS AI Services currently available using the table below. This list is updated regularly.

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    Iguazio

    Iguazio

    Iguazio (Acquired by McKinsey)

    The Iguazio AI platform operationalizes and de-risks ML & GenAI applications at scale. Implement AI effectively and responsibly in your live business environments. Orchestrate and automate your AI pipelines, establish guardrails to address risk and regulation challenges, deploy your applications anywhere, and turn your AI projects into real business impact. - Operationalize Your GenAI Applications: Go from POC to a live application in production, cutting costs and time-to-market with efficient scaling, resource optimization, automation and data management applying MLOps principles. - De-Risk and Protect with GenAI Guardrails: Monitor applications in production to ensure compliance and reduce risk of data privacy breaches, bias, AI hallucinations and IP infringements.
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