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.
Discover how InfStones, an enterprise-grade PaaS blockchain infrastructure provider, was able to leverage Autonomous JSON Database to build a low-latency query service over billions of blockchain records.
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, 2X the size of MongoDB Atlas 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 Database for transaction processing and mixed workloads adds converged database capabilities, such as using relational data, spatial, XML, and more.
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.
Get up to 2X throughput on the industry standard YCSB benchmark compared to MongoDB Atlas.
Oracle Database’s guaranteed ACID transactions and read consistency on multi-document and multi-collection operations ensure transactions are consistent without compromising application performance.
Autonomous 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.
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.
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.
30% lower pricing than comparable MongoDB Atlas service for the same memory, CPU and storage reduces customer cost.
ZDNet: Oracle Autonomous JSON Database adds MongoDB supportRead the ZDNet article
Search Data Management: Oracle Autonomous cloud database gains MongoDB API supportRead the Search Data Management article
KuppingerCole Analysts: SQL vs. NoSQL? Why not both?Read the KuppingerCole blog (PDF)
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Oracle Autonomous JSON Database
OCPU per hour
Oracle Autonomous Transaction Processing - Exadata Storage
Terabyte storage capacity per month
*To make it easier to compare pricing across cloud service providers, Oracle web pages show both vCPU (virtual CPUs) prices and OCPU (Oracle CPU) prices for products with compute-based pricing. The products themselves, provisioning in the portal, billing, etc. continue to use OCPU (Oracle CPU) units. OCPUs represent physical CPU cores. Most CPU architectures, including x86, execute two threads per physical core, so 1 OCPU is the equivalent of 2 vCPUs for x86-based compute. The per-hour OCPU rate customers are billed at is therefore twice the vCPU price since they receive two vCPUs of compute power for each OCPU, unless it’s a sub-core instance such as preemptible instances. Additional details supporting the difference between OCPU vs. vCPU can be accessed here.
Carl Olofson, Research Vice President, Data Management Software, IDC
Maintaining JSON data in the multimodal Autonomous JSON Database, the same database that manages the related table data, overcomes the problem of managing two separate databases—a JSON database and a relational database. Autonomous JSON Database enables users to perform SQL queries over JSON documents while offering machine learning-driven self-tuning and self-healing capabilities that underpin Autonomous Database.Read the complete post
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