DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > GBase vs. MongoDB vs. mSQL vs. RocksDB vs. Sphinx

System Properties Comparison GBase vs. MongoDB vs. mSQL vs. RocksDB vs. Sphinx

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonMongoDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRocksDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructuremSQL (Mini SQL) is a simple and lightweight RDBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.gbase.cnwww.mongodb.comhughestech.com.au/­products/­msqlrocksdb.orgsphinxsearch.com
Technical documentationwww.mongodb.com/­docs/­manualgithub.com/­facebook/­rocksdb/­wikisphinxsearch.com/­docs
DeveloperGeneral Data Technology Co., Ltd.MongoDB, IncHughes TechnologiesFacebook, Inc.Sphinx Technologies Inc.
Initial release20042009199420132001
Current releaseGBase 8a, GBase 8s, GBase 8c6.0.7, June 20234.4, October 20218.11.4, April 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial infofree licenses can be providedOpen Source infoBSDOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageC, Java, PythonC++CC++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-free infoAlthough 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.yesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesnono
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnono
Secondary indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLStandard with numerous extensionsRead-only SQL queries via the MongoDB Atlas SQL InterfaceA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
C API
JDBC
ODBC
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JDBC
ODBC
C++ API
Java API
Proprietary protocol
Supported programming languagesC#Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C
C++
Delphi
Java
Perl
PHP
Tcl
C
C++
Go
Java
Perl
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsJavaScriptnonono
Triggersyesyes infoin MongoDB Atlas onlynono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.nonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
noneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
none
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2noyes
User concepts infoAccess controlyesAccess rights for users and rolesnonono
More information provided by the system vendor
GBaseMongoDBmSQL infoMini SQLRocksDBSphinx
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat 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

CData: Connect to Big Data & NoSQL through standard Drivers.
» more
Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GBaseMongoDBmSQL infoMini SQLRocksDBSphinx
DB-Engines blog posts

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

show all

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Ecosystem enrichment: MongoDB's path to success
7 May 2024, SiliconANGLE News

MongoDB.local NYC: Charting enterprise AI transformation
7 May 2024, SiliconANGLE News

MongoDB unveils an AI app building program for the enterprise
1 May 2024, VentureBeat

MongoDB CEO Dev Ittycheria talks AI hype and the database evolution as he crosses 10-year mark
28 April 2024, TechCrunch

Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock | Amazon Web ...
2 May 2024, AWS Blog

provided by Google News

Make Your MySQL Server More Secure With These 7 Steps - MUO
1 December 2022, MakeUseOf

Writing a Web Service in Perl
9 July 2003, PCQuest

Higher Education PS rules out ghost students before PAC - Zambia
29 November 2018, diggers.news

provided by Google News

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

Linux 6.9 Drives AMD 4th Gen EPYC Performance Even Higher For Some Workloads
29 March 2024, Phoronix

Power your Kafka Streams application with Amazon MSK and AWS Fargate | Amazon Web Services
10 August 2021, AWS Blog

Intel Linux Optimizations Help AMD EPYC "Genoa" Improve Scaling To 384 Threads
6 April 2023, Phoronix

provided by Google News

Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose
2 February 2024, Towards Data Science

Manticore is a Faster Alternative to Elasticsearch in C++
25 July 2022, hackernoon.com

Perplexity AI: From Its Use To Operation, Everything You Need To Know About Googles Newest Challenger
11 January 2024, Free Press Journal

The Pirate Bay was recently down for over a week due to a DDoS attack
29 October 2019, The Hacker News

How to Build 600+ Links in One Month
4 September 2020, Search Engine Journal

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Present your product here