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Autonomous JSON Database

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.

Announcing Oracle Database API for MongoDB

Run MongoDB workloads on Oracle Cloud Infrastructure 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.

Oracle Database API for Mongo DB: Bigger than just an API

"Autonomous Database is the key to the API that MongoDB cannot match," according to the Forbes analysis covering the new Oracle Database API for MongoDB.

Improve productivity and accelerate time to production with Autonomous JSON Database

Constellation Research reports on the benefits of Oracle Database API for MongoDB, developed based on feedback from customers looking to migrate from MongoDB to Autonomous JSON Database to gain converged database capabilities.

5 reasons why Oracle Autonomous JSON Database is better.

Why choose Autonomous 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 Database

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.

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 JSON Database using MongoDB drivers, tools, and frameworks. Developers can build MongoDB applications on a laptop and deploy them on Autonomous JSON Database.

Easy MongoDB migration

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.

Use SQL with JSON documents

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.

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 Database.

Expanded application capabilities

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.

Enterprise-class security

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.


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.


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 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 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 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 JSON Database is priced at less than 25% of Oracle’s full-fledged Autonomous 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.


Get started with Oracle Autonomous JSON Database for free.

See what top industry analysts are saying about Autonomous JSON Database

ZDNet: Oracle Autonomous JSON Database adds MongoDB support

ZDNet: Oracle Autonomous JSON Database adds MongoDB support

Read the ZDNet article
Search Data Management: Oracle Autonomous cloud database gains MongoDB API support

Search Data Management: Oracle Autonomous cloud database gains MongoDB API support

Read the Search Data Management article
KuppingerCole Analysts: SQL vs NoSQL? Why not both?

KuppingerCole Analysts: SQL vs. NoSQL? Why not both?

Read the KuppingerCole blog (PDF)

Oracle Autonomous JSON Database use cases

  • Mobile applications

    Build rich, immersive experiences for mobile apps.

  • Applications with dynamic personalized experiences

    Deliver engaging personalized customer experiences and provide real-time recommendations on multiple digital properties.

  • Content and catalog management

    Develop content management and product catalog services that handle a wide variety of attributes and metadata.

  • Integrated IoT applications

    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.

  • Digital payment applications

    Build payment processing services with a consistent view of data and data integrity without impacting application performance.

Autonomous JSON Database pricing

Oracle Autonomous JSON Database

Product
 
Comparison Price
( /vCPU)*
Unit Price
Unit
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.

February 15, 2022

At Last, MongoDB Developers Get Full Autonomous Capabilities

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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