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- #NOSQL MANAGER FOR MONGODB 使用 FULL#
- #NOSQL MANAGER FOR MONGODB 使用 SOFTWARE#
- #NOSQL MANAGER FOR MONGODB 使用 CODE#
#NOSQL MANAGER FOR MONGODB 使用 SOFTWARE#
Auto-repairingįixes hardware and software faults by continuously monitoring and predicting failures.
#NOSQL MANAGER FOR MONGODB 使用 FULL#
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. The memory configuration, data formats, indexes, and access structures are automatically optimized to improve performance. Auto-tuningĬonfigures and tunes databases automatically even as data and schema change over time. Scales compute resources automatically without any downtime to meet performance requirements and lower costs with pay-per-use pricing. Learn why customers choose Oracle Autonomous JSON Database over MongoDB Atlasĭeploys fault-tolerant and highly available document databases in minutes.Consolidation of application platforms to Oracle makes unified user management easy to execute and maintain. MongoDB applications on Autonomous JSON Database use Oracle's enterprise-class security features on MongoDB collections for comprehensive security management and monitoring. 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. 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. Low-code application development with APEX 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. This enables users to take advantage of parallel scalability and cross-collection query capabilities while analyzing JSON data. Unlike MongoDB, Autonomous JSON Database fully supports SQL. 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. Easy MongoDB migrationĭata 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. Developers can build MongoDB applications on a laptop and deploy them on Autonomous JSON Database. With Oracle Database API for MongoDB, developers can continue to build MongoDB applications on Autonomous JSON Database using MongoDB drivers, tools, and frameworks.
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Native support for MongoDB drivers, tools, and frameworks
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Read the technical brief to see how a fully managed, converged database in the cloud is a great choice for your applications (PDF).Infographic: How Oracle Autonomous JSON Database Revolutionizes App Development (PDF).
#NOSQL MANAGER FOR MONGODB 使用 CODE#
No-code/Low-code developmentīuilt-in Oracle APEX, a low code application development platform enables developers to rapidly build JSON-centric applications with 98% less code.
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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. Transform an Autonomous JSON Database into an Autonomous Database with no downtime, and expand applications to run large-scale, enterprise-class workloads. 1-click conversion to Autonomous Database Full SQL supportĮnables developers to analyze JSON data with all the power of standard SQL, including cross-collection queries, parallel scalability, and advanced analytic functions. Provides no limitation on index key lengths or number of indexes per collection and supports full document indexing. 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. Choice of APIs, language, and toolsĪccelerate 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. 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.