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Oracle Autonomous Transaction Processing is a cloud database service that eliminates the complexity of operating and securing high-performance databases. The service automates provisioning, configuring, tuning, scaling, patching, encrypting, and repairing of databases. Additionally, the service includes all of Oracle’s advanced database options, such as real application clusters (RAC), multitenant, partitioning, in-memory, advanced security, and advanced compression. The service is built to support everything from simple web apps to large and sophisticated applications that are critical for business operation. Autonomous Transaction Processing service is available in both the Oracle public cloud and your own data center on Exadata Cloud@Customer.
Autonomous Transaction Processing ranks highest in all four categories in the 2020 Gartner Critical Capabilities for Cloud Database Management Systems for Operational Use Cases report.
Watch the video to see how Autonomous Transaction Processing delivers Oracle's multimodel converged database as a fully managed cloud service.
Deploys fault-tolerant and highly available databases in minutes.
Scales compute resources automatically to meet performance and throughput requirements without any downtime. Enables true pay-per-use experience with online dynamic scaling.
Configures and tunes databases automatically even as data and schema change over time. The memory configuration, data formats, indexes, and access structures are automatically optimized to improve performance.
Performs weekly full and daily incremental backups of the database in Oracle’s object storage and retains them for up to 60 days to restore and recover to any point in time.
Fixes hardware and software faults by continuously monitoring and predicting failures. Requests are immediately redirected to healthy devices, maintaining database performance.
Eliminates site downtime by maintaining a real-time remote copy of a production database and automatically switching from primary to remote copy using Autonomous Data Guard.
Natively supports multiple data types including document, graph, spatial, JSON, XML, and more for faster application development. Prevents data fragmentation and reduces data management hassles resulting from siloed data stores.
Provides database management REST APIs, web interface, and PL/SQL Gateway to REST-enable all your data for simpler and faster access.
Oracle’s low-code application development platform, APEX, is built into Autonomous Transaction Processing and eliminates 98% of hand coding. APEX empowers developers to rapidly build sophisticated applications.
Provides more than 30 ML algorithms, automated ML functions, and integration with open source Python and R to make it easy to build ML models and analytical dashboards without moving data out of the database.
Built-in data tools provide self-service data loading, data transformations, and business models, making it easy to load any data, run complex queries across multiple data types, build sophisticated analytical models, visualize information, deliver insights, and ease development of data-driven applications.
Create fast clones of the entire database or just the metadata, to quickly get started on new projects. Create clones from running database instances or a backup database.
Provides fully supported, multicloud solutions with fast interconnections to Microsoft Azure.
Provides automatic encryption for the entire database and for backups with encryption keys that you create and control. This ensures the data is always secure at rest and in motion.
Patches and upgrades databases for security vulnerabilities with zero downtime. Applications continue to run as patching occurs.
Enables database administrators to perform all administrative tasks without ever seeing customer data. Blocks access to OS or admin privileges to prevent phishing attacks.
Oracle Data Safe, included with Autonomous Transaction Processing, makes it easy to discover sensitive data, evaluate security risks, mask sensitive data, and implement and monitor security controls.
Logs all events with minimal impact on performance. You can monitor audits anytime for analysis, forensics, and compliance.
Delivers 80% lower latency and more than 5X throughput than other cloud providers by utilizing database-optimized hardware, automated tuning, and indexing.
Provides more than 99.95% availability using a combination of Oracle’s Gen 2 Cloud Infrastructure, Oracle RAC, Autonomous Data Guard, and daily automatic backups.
Oracle Flashback, provided with Autonomous Transaction Processing, instantly rewinds accidental changes to application schemas, protecting users from human errors. It supports recovery at all levels including row, transaction, and table—and across the entire database.
Wikibon finds Oracle Autonomous Database is 50% lower cost than AWSRead the report (PDF)
Constellation Research finds Oracle Database has 32% more capacity than the largest AWS offeringLearn more
dbInsight finds Oracle the first to deliver a self-driving database in both the cloud and on-premisesView the report (PDF)
Learn how customers are using Oracle Autonomous Database for faster transaction processing to transform their business.
Optimize and extend your custom and ISV applications for improved performance, availability, and security while reducing management complexity. Reduce total cost of ownership with autonomous operations.
Optimize and extend your Oracle applications such as PeopleSoft, JD Edwards, and Siebel while reducing management complexity. Get more value from your applications while reducing cost.
Build scalable, secure, data-driven applications with minimal coding using APEX, a low-code development tool that is built into Autonomous Transaction Processing.
Build microservice applications that utilize multiple database models and separate database containers while maintaining a common security, performance, and availability model.
Provide secure, governed, and high-performance self-service databases, while IT controls the budgeting, capacity planning, availability, security, and governance of data.
Deliver billions of inserts and retrievals a second with powerful analytics for key-value transactions such as IoT data, without the operational complexity of single-purpose databases.
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Common cloud industry practice is to define compute instances based on the number of virtual CPUs (vCPUs) they include. Each vCPU provides the capacity for one thread of execution. A vCPU does not provide a whole physical compute core, it’s part of a core. In contrast, Oracle’s x86 compute shapes use OCPUs which equate to physical CPU cores, each of which provides for two threads. To make it easier for customers to compare across cloud service providers, Oracle presents vCPU pricing on our web pages while billing is based on the number of OCPU time they consume. The per-hour OCPU rate customers are billed at is twice the vCPU price on the web pages since they receive two vCPUs of compute power instead of one.
In today’s world, the ability to quickly create value from different types of data increasingly provides businesses with a competitive edge. An excellent example of this is how responsive, personalized and portable a food delivery app might be. But how does a business become data-driven?Read the complete post
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