DBMS > MongoDB vs. Oracle vs. PostgreSQL vs. RocksDB vs. Rockset
System Properties Comparison MongoDB vs. Oracle vs. PostgreSQL vs. RocksDB vs. Rockset
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| Name | MongoDB Xexclude from comparison | Oracle Xexclude from comparison | PostgreSQL Xexclude from comparison | RocksDB Xexclude from comparison | Rockset Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure | Widely used RDBMS | Widely used open source RDBMS  Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | Embeddable persistent key-value store optimized for fast storage (flash and RAM) | A scalable, reliable search and analytics service in the cloud, built on RocksDB | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Document store | Relational DBMS | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Key-value store | Document store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Spatial DBMS Search engine integrated Lucene index, currently in MongoDB Atlas only.Time Series DBMS Time Series Collections introduced in Release 5.0Vector DBMS currently available in the MongoDB Atlas cloud service only | Document store Graph DBMS with Oracle Spatial and GraphRDF store with Oracle Spatial and GraphSpatial DBMS with Oracle Spatial and GraphVector DBMS since Oracle 23 | Document store Graph DBMS with Apache AgeSpatial DBMS Vector DBMS with pgvector extension | Relational DBMS Search engine | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | www.mongodb.com | www.oracle.com/database | www.postgresql.org | rocksdb.org | rockset.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | www.mongodb.com/docs/manual | docs.oracle.com/en/database | www.postgresql.org/docs | github.com/facebook/rocksdb/wiki | docs.rockset.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | MongoDB, Inc | Oracle | PostgreSQL Global Development Group www.postgresql.org/developer | Facebook, Inc. | Rockset | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2009 | 1980 | 1989 1989: Postgres, 1996: PostgreSQL | 2013 | 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 6.0.7, June 2023 | 23c, September 2023 | 16.3, May 2024 | 9.2.1, May 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available. | commercial restricted free version is available | Open Source BSD | Open Source BSD | commercial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no MongoDB available as DBaaS (MongoDB Atlas) | no | no | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Implementation language | C++ | C and C++ | C | C++ | C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | Linux OS X Solaris Windows | AIX HP-UX Linux OS X Solaris Windows z/OS | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Linux | hosted | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema. | yes Schemaless in JSON and XML columns | yes | schema-free | schema-free | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes string, integer, double, decimal, boolean, date, object_id, geospatial | yes | yes | no | dynamic typing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | yes | yes specific XML-type available, but no XML query functionality. | no | no ingestion from XML files supported | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | yes | yes | no | all fields are automatically indexed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | Read-only SQL queries via the MongoDB Atlas SQL Interface | yes with proprietary extensions | yes standard with numerous extensions | no | Read-only SQL queries, including JOINs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | GraphQL HTTP REST Prisma proprietary protocol using JSON | JDBC ODBC ODP.NET Oracle Call Interface (OCI) | ADO.NET JDBC native C library ODBC streaming API for large objects | C++ API Java API | HTTP REST | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | Actionscript unofficial driver C C# C++ Clojure unofficial driverColdFusion unofficial driverD unofficial driverDart unofficial driverDelphi unofficial driverErlang Go Groovy unofficial driverHaskell Java JavaScript Kotlin Lisp unofficial driverLua unofficial driverMatLab unofficial driverPerl PHP PowerShell unofficial driverProlog unofficial driverPython R unofficial driverRuby Rust Scala Smalltalk unofficial driverSwift | C C# C++ Clojure Cobol Delphi Eiffel Erlang Fortran Groovy Haskell Java JavaScript Lisp Objective C OCaml Perl PHP Python R Ruby Scala Tcl Visual Basic | .Net C C++ Delphi Java JDBCJavaScript (Node.js) Perl PHP Python Tcl | C C++ Go Java Perl Python Ruby | Go Java JavaScript (Node.js) Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | JavaScript | PL/SQL also stored procedures in Java possible | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | yes in MongoDB Atlas only | yes | yes | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime. | Sharding, horizontal partitioning | partitioning by range, list and (since PostgreSQL 11) by hash | horizontal partitioning | Automatic sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | Multi-source replication Source-replica replication | Source-replica replication other methods possible by using 3rd party extensions | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | yes | no can be realized in PL/SQL | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | Immediate Consistency | Immediate Consistency | Eventual Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | no typically not used, however similar functionality with DBRef possible | yes | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | Multi-document ACID Transactions with snapshot isolation | ACID isolation level can be parameterized | ACID | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes optional, enabled by default | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes In-memory storage engine introduced with MongoDB version 3.2 | yes Version 12c introduced the new option 'Oracle Database In-Memory' | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | Access rights for users and roles | fine grained access rights according to SQL-standard | fine grained access rights according to SQL-standard | no | Access rights for users and organizations can be defined via Rockset console | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MongoDB | Oracle | PostgreSQL | RocksDB | Rockset | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | MongoDB provides an integrated suite of cloud database and data services to accelerate... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | Built around the flexible document data model and unified API, MongoDB is a developer... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 3rd parties | CData: Connect to Big Data & NoSQL through standard Drivers. » more Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development. » more Studio 3T: The world's favorite IDE for working with MongoDB » more | Navicat for Oracle improves the efficiency and productivity of Oracle developers and administrators with a streamlined working environment. » more Devart ODBC driver for Oracle accesses Oracle databases from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32 and 64-bit Windows, macOS, and Linux. » more | Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development. » more CYBERTEC is your professional partner in PostgreSQL topics for over 20 years. As our main aim is to be your single-source all-in-one IT service provider, we offer a wide range of products and services. Visit our website for more details. » more Timescale: Calling all PostgreSQL users – the 2023 State of PostgreSQL survey is now open! Share your favorite extensions, preferred frameworks, community experiences, and more. Take the survey today! » more Redgate webinars: A series of key topics for new PostgreSQL users. » more Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance. » more SharePlex is the reliable and affordable data replication solution for PostgreSQL migrations, high availability and more. » more pgDash: In-Depth PostgreSQL Monitoring. » more Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools. » more Instaclustr: Fully Hosted & Managed PostgreSQL » more Navicat Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems. » more | Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads. » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MongoDB | Oracle | PostgreSQL | RocksDB | Rockset | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DB-Engines blog posts | Snowflake is the DBMS of the Year 2021 PostgreSQL is the DBMS of the Year 2020 PostgreSQL is the DBMS of the Year 2018 | MySQL is the DBMS of the Year 2019 The struggle for the hegemony in Oracle's database empire Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Conferences, events and webinars | Oracle Cloud World | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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