Data warehouses and data lakes

Organizations need to bring all their data together when answering questions that drive business decisions. Data warehouses and data lakes solutions enable organizations to run all workloads including traditional business intelligence, advanced analytics, machine learning-driven predictive analytics, and data applications. 

Solutions

These solutions available in AWS Marketplace allow organizations to manage structured and unstructured data to get the full benefits of cloud data lakes and warehouses.

Cloudera Public Cloud delivers powerful self-service analytics across cloud environments, along with sophisticated security and governance policies.

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See how it works: Demo

Cloudwick’s Amorphic Data Cloud for AWS helps organizations gain deeper insights from their data by making any data shareable, searchable, and analyzable by any user. 

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Databricks enables organizations to manage all their data, analytics and artificial intelligence on one unified data platform.

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See how it works: Demo

Dremio Enterprise delivers lightning-fast query speed and a self-service semantic layer operating directly against your data lake storage.

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See how it works: Demo

MongoDB Atlas helps ensure availability, scalability, and security compliance by using intelligent automation to maintain performance at scale.

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See how it works: Demo

Redis Enterprise Cloud is a fully-managed cloud service for hosting and running your Redis dataset with high availability and infinite scalability.

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See how it works: Video

Snowflake Data Cloud, eliminate data silos and run your data workloads from a single platform.

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Teradata Vantage on AWS is a connected cloud data platform for enterprise analytics that helps unlock the value of data.

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See how it works: Video

BigID’s actionable data intelligence platform enables organizations to know their enterprise data and take action for privacy, security, and governance.

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