Autonomous AI JSON Database

Simple document APIs

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.

Choice of APIs, language, and tools

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.

Large Native JSON documents

Supports new native binary JSON document file sizes of up to 32 MB, 2X the size of MongoDB Atlas and is highly optimized for fast reads and partial updates.

Indexing without limitation

Provides no limitation on index key lengths or number of indexes per collection and supports full document indexing.

Full SQL support

Enables developers to analyze JSON data with all the power of standard SQL, including cross-collection queries, parallel scalability, and advanced analytic functions.

1-click conversion to Autonomous AI Transaction Processing

Transform an Autonomous AI JSON Database into an Autonomous AI Database with no downtime, and expand applications to run large-scale, enterprise-class workloads. Migration from Autonomous AI JSON Database to Autonomous AI 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.

No-code/Low-code development

Built-in Oracle APEX, a low code application development platform enables developers to rapidly build JSON-centric applications with 98% less code.

Native support for MongoDB drivers, tools, and frameworks

With Oracle Database API for MongoDB, developers can continue to build MongoDB applications on Autonomous AI JSON Database using MongoDB drivers, tools, and frameworks. Developers can build MongoDB applications on a laptop and deploy them on Autonomous AI JSON Database.

• Watch a demo on using MongoDB Compass with an Oracle AI Database (2:46)

Easy MongoDB migration

Data in on-premises MongoDB or MongoDB Atlas can be easily migrated to Autonomous AI 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.

Use SQL with JSON documents

Unlike MongoDB, Autonomous AI 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.

Low-code application development with APEX

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 AI Database.

Expanded application capabilities

Migrating MongoDB applications to Autonomous AI 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.

Enterprise-class security

MongoDB applications on Autonomous AI 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.

Auto-provisioning

Deploys fault-tolerant and highly available document databases in minutes.

Auto-scaling

Scales compute resources automatically without any downtime to meet performance requirements and lower costs with pay-per-use pricing.

Auto-tuning

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.

Automated backups

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.

Auto-repairing

Fixes hardware and software faults by continuously monitoring and predicting failures. Read/Write requests are immediately redirected to healthy devices maintaining database performance.

• Read Omdia Research Report: Autonomous AI JSON Database Frees Developers to Do What They Do Best (PDF)


• Read IDC First Take: Autonomous JSON Reduces Human Management to Near Zero (PDF)


• Read WinterCorp Research Report: Autonomous JSON is an Enormous Success (PDF)

2X better performance than MongoDB Atlas

Get up to 2X throughput on the industry standard YCSB benchmark compared to MongoDB Atlas.

Transactional consistency without the performance trade-off

Oracle AI Database’s guaranteed ACID transactions and read consistency on multi-document and multi-collection operations ensure transactions are consistent without compromising application performance.

Native binary JSON representation

Autonomous AI JSON Database uses a native binary JSON format (OSON) designed for faster query performance, more efficient updates, and reduced storage sizes. OSON is highly compressed, providing 2.7X the document size compression as compared to MongoDB BSON, and 3X compression as compared to JSON.

Runs on Oracle Exadata hardware

Oracle Exadata’s scale-out architecture delivers high performance, scale, and availability for your database. JSON support is integrated into Oracle Exadata to significantly speed up JSON document processing.

Always-on encryption

Automatic encryption of the entire database and backups with customer-created and owned encryption keys protects at-rest and in-motion data.

Automated patching

Database patches and upgrades are automatically applied without interrupting database operations to maximize security for crucial customer data.

Security of sensitive data

Oracle Data Safe, included with Autonomous AI JSON Database, makes it easy to discover sensitive data, evaluate security risks, mask sensitive data, and implement and monitor security controls.

Pay-per-use

Elastic scaling of compute and storage resources independently without downtime, combined with per-second billing creates a pay-per-use pricing model.

Low-price option for JSON-centric applications

Autonomous AI JSON Database is priced at less than 25% of Oracle’s full-fledged Autonomous AI Database and offers the same autonomous operations and high availability.

Low cost

30% lower pricing than comparable MongoDB Atlas service for the same memory, CPU and storage reduces customer cost.