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Dataiku
Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it integrates with all clouds, data platforms, AI services, and legacy systems to ensure full technology optionality — empowering customers to future-proof their AI initiatives. With governance by design and no-, low-, and full-code capabilities, Dataiku enables the world’s largest companies to confidently build and manage differentiated AI that drives measurable business value.

Databricks
Databricks is a unified data and AI platform built on an open lakehouse architecture, combining the best of data warehouses and data lakes. It enables data engineering, machine learning, and analytics teams to collaborate seamlessly on massive datasets using familiar tools like Apache Spark, Delta Lake, and MLflow. Databricks is optimized for scalability and performance across all major cloud providers. Its collaborative environment accelerates the development of AI and data-driven applications.

Snowflake
Snowflake is a cloud-native data platform that allows organizations to store, manage, and analyze data at scale through a highly performant and elastic architecture. Its multi-cluster, shared-data approach supports seamless data sharing, collaboration, and integration across clouds. Snowflake separates compute and storage, enabling efficient resource use and cost management. With strong data governance, security, and support for SQL and Python, it powers modern analytics and AI workloads.

AWS
AWS is the world’s most comprehensive and widely adopted cloud platform, offering over 200 fully featured services across computing, storage, databases, analytics, machine learning, and more. It supports organizations of all sizes in building scalable, secure, and innovative solutions. With a global infrastructure, AWS provides unmatched reliability, flexibility, and performance. It’s a foundational choice for enterprises modernizing their IT and analytics environments.