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DBMS > H2 vs. MongoDB vs. QuestDB vs. RocksDB

System Properties Comparison H2 vs. MongoDB vs. QuestDB vs. RocksDB

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonMongoDB  Xexclude from comparisonQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSDocument storeTime Series DBMSKey-value store
Secondary database modelsSpatial DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.72
Rank#49  Overall
#31  Relational DBMS
Score489.64
Rank#5  Overall
#1  Document stores
Score1.51
Rank#148  Overall
#11  Time Series DBMS
Score4.26
Rank#89  Overall
#16  Key-value stores
Websitewww.h2database.comwww.mongodb.comquestdb.iorocksdb.org
Technical documentationwww.h2database.com/­html/­main.htmldocs.mongodb.com/­manualquestdb.io/­docs/­introductiongithub.com/­facebook/­rocksdb/­wiki
DeveloperThomas MuellerMongoDB, IncQuestDB LimitedFacebook, Inc.
Initial release2005200920142013
Current release2.1.210, January 20226.0.1, August 20227.3.1, June 2022
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.
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Implementation languageJavaC++JavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
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.yes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesno
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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesRead-only SQL queries via the MongoDB Connector for BISQL-like query languageno
APIs and other access methodsJDBC
ODBC
proprietary protocol using JSONHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
C++ API
Java API
Supported programming languagesJavaActionscript 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
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 infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsJavaScriptnono
Triggersyesyes infoin MongoDB Atlas onlynono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Configurable consistency for N replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationACID for single-table writesyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes infothrough memory mapped filesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
H2MongoDBQuestDBRocksDB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Relational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Apache 2.0.
» more
News

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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.

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More resources
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