Oracle Autonomous JSON Database is a cloud document database service that makes it simple to develop JSON-centric applications. It features NoSQL-style document APIs (Oracle SODA and Oracle Database API for MongoDB), serverless scaling, high performance ACID transactions, comprehensive security, and low pay-per-use pricing. Autonomous JSON Database automates provisioning, configuring, tuning, scaling, patching, encrypting, and repairing of databases, eliminating database management and delivering 99.95% availability.
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Run MongoDB workloads on Oracle Cloud Infrastructure (OCI) by migrating applications written for MongoDB to Oracle Autonomous JSON Database. Developers can continue to use MongoDB's open source tools and drivers using the new API for MongoDB.
Get the best of both JSON and relational models. With Oracle Database 23ai, developers can choose the data format that maximizes the benefits for each use case and get the benefits of both relational and document.
Read how Oracle’s Sauce Video migrated its MongoDB Atlas-based solution to Autonomous JSON Database on OCI to achieve scalability and eliminate manual administration efforts on multiple vendor services.
Open-source NoSQL-style document APIs enable developers to create JSON-centric applications in minutes without worrying about data models or writing complex code that can takes hours.
Accelerate application development in popular programming languages and platforms such as Java, Python, and Node.js with flexibility of REST API, CLI, IDE extensions, and web interface access.
Supports new native binary JSON document file sizes of up to 32 MB and is highly optimized for fast reads and partial updates.
Provides no limitation on index key lengths or number of indexes per collection and supports full document indexing.
Enables developers to analyze JSON data with all the power of standard SQL, including cross-collection queries, parallel scalability, and advanced analytic functions.
Transform an Autonomous JSON Database into an Autonomous Database with no downtime, and expand applications to run large-scale, enterprise-class workloads. Migration from Autonomous JSON Database to Autonomous Transaction Processing enables the full use of any converged database features such as JSON Relational Duality and AI Vector Search, as well as relational, spatial, XML, and other data types.
Built-in Oracle APEX, a low code application development platform enables developers to rapidly build JSON-centric applications with 98% less code.
With Oracle Database API for MongoDB, developers can continue to build MongoDB applications on Autonomous JSON Database using MongoDB drivers, tools, and frameworks. Developers can build MongoDB applications on a laptop and deploy them on Autonomous JSON Database.
Data in on-premises MongoDB or MongoDB Atlas can be easily migrated to Autonomous JSON Database with import/export tools that are familiar to MongoDB developers. After the data migration, existing MongoDB applications will continue to run with a simple change of the connection string, often without the need for additional coding rewrites or changes.
Unlike MongoDB, Autonomous JSON Database fully supports SQL. This enables users to take advantage of parallel scalability and cross-collection query capabilities while analyzing JSON data. Developers and data scientists can do more with their JSON data using SQL queries, such as creating joins between different JSON collections, joining JSON collections with relational tables, and generating new sets of JSON data as a MongoDB collection.
Not only do developers have access to familiar tools and frameworks, they can also rapidly develop new JSON-centric applications using Oracle APEX Application Development, a fully managed, low-code application development platform built into Oracle Autonomous Database.
Migrating MongoDB applications to Autonomous JSON Database provides access to additional capabilities, such as spatial processing of GeoJSON data, full document indexing with Oracle Text search, machine learning, full ACID transaction support across documents and collections, mapping of JSON data to relational views, PL/SQL with JSON extensions and SODA support, and more.
MongoDB applications on Autonomous JSON Database use Oracle's enterprise-class security features on MongoDB collections for comprehensive security management and monitoring. Consolidation of application platforms to Oracle makes unified user management easy to execute and maintain.
Deploys fault-tolerant and highly available document databases in minutes.
Scales compute resources automatically without any downtime to meet performance requirements and lower costs with pay-per-use pricing.
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. Read/Write requests are immediately redirected to healthy devices maintaining database performance.
Automatic encryption of the entire database and backups with customer-created and owned encryption keys protects at-rest and in-motion data.
Database patches and upgrades are automatically applied without interrupting database operations to maximize security for crucial customer data.
Oracle Data Safe, included with Autonomous JSON Database, makes it easy to discover sensitive data, evaluate security risks, mask sensitive data, and implement and monitor security controls.
Elastic scaling of compute and storage resources independently without downtime, combined with per-second billing creates a pay-per-use pricing model.
Autonomous JSON Database is priced at less than 25% of Oracle’s full-fledged Autonomous Database and offers the same autonomous operations and high availability.
ZDNet: Oracle Autonomous JSON Database adds MongoDB support
Read the ZDNet articleSearch Data Management: Oracle Autonomous cloud database gains MongoDB API support
Read the Search Data Management articleKuppingerCole Analysts: SQL vs. NoSQL? Why not both?
Read the KuppingerCole blog (PDF)Build rich, immersive experiences for mobile apps.
Deliver engaging personalized customer experiences and provide real-time recommendations on multiple digital properties.
Develop content management and product catalog services that handle a wide variety of attributes and metadata.
Create integrated applications for clickstream, monitoring, logging, and sensor systems to process billions of inserts and retrievals a second, generating new insights without compromising data accuracy.
Build payment processing services with a consistent view of data and data integrity without impacting application performance.
Product |
Unit Price |
Unit |
Oracle Autonomous JSON Database Warehouse–ECPU |
ECPU per hour |
|
Oracle Transaction Processing Exadata Storage for ECPU |
Gigabyte storage capacity per month |
|
Oracle Autonomous Database Backup Storage |
Gigabyte storage capacity per month |
|
Oracle Autonomous Database–Developer |
Instance per hour |
With Autonomous Database and its latest innovations, it’s now easier and faster for you to build apps that use AI-powered human language interfaces and human-centric data. Welcome to the future of enterprise application development with GenDev’s AI-centric infrastructure—it’s here today, ready to transform the way you innovate.
Read the complete postExplore Oracle Help Center for product documentation and other resources to deploy Autonomous JSON Database.
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