Oracle Autonomous Data Warehouse vs. Oracle Autonomous Database vs. Oracle Cloud Infrastructure Data Lakehouse vs. Oracle Exadata Comparison Chart

Oracle Autonomous Database is a fully automated cloud database that uses machine learning to automate database tuning, security, backups, updates, and other routine management tasks traditionally performed by DBAs. It supports a wide range of data types and models, including SQL, JSON documents, graph, geospatial, text, and vectors, enabling developers to build applications for any workload without integrating multiple specialty databases. Built-in AI and machine learning capabilities allow for natural language queries, automated data insights, and the development of AI-powered applications. It offers self-service tools for data loading, transformation, analysis, and governance, reducing the need for IT intervention. It provides flexible deployment options, including serverless and dedicated infrastructure on Oracle Cloud Infrastructure (OCI), as well as on-premises with Exadata Cloud@Customer.

Oracle Exadata is the best place to run Oracle Database, simplifying digital transformations, increasing database performance, and reducing costs. Customers achieve higher availability, greater performance, and up to 40% lower cost with Oracle Exadata, as described in Wikibon’s analysis. Oracle Cloud Infrastructure, Oracle Cloud@Customer, and on-premises deployment options enable customers to modernize database infrastructure, move enterprise applications to the cloud, and rapidly implement digital transformations. Oracle Exadata allows customers to run Oracle Database with the same high performance, scale, and availability wherever needed. Workloads easily move between on-premises data centers, Cloud@Customer deployments, and Oracle Cloud Infrastructure, enabling customers to modernize operations and reduce costs.