Autonomous AI JSON Database

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.

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.

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-scaling

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

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.

Auto-failover

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.

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.

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.

Automated patching

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

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.