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DBMS > CrateDB vs. MonetDB vs. Quasardb vs. Realm

System Properties Comparison CrateDB vs. MonetDB vs. Quasardb vs. Realm

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonMonetDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionDistributed Database based on LuceneA relational database management system that stores data in columnsDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Websitecratedb.comwww.monetdb.orgquasar.airealm.io
Technical documentationcratedb.com/­docswww.monetdb.org/­Documentationdoc.quasar.ai/­masterrealm.io/­docs
DeveloperCrateMonetDB BVquasardbRealm, acquired by MongoDB in May 2019
Initial release2013200420092014
Current release5.8.1, August 2024Dec2023 (11.49), December 20233.14.1, January 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoMozilla Public License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportFreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyes infoSQL 2003 with some extensionsSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes, in SQL, C, Rnono inforuns within the applications so server-side scripts are unnecessary
Triggersnoyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelnone infoSource-replica replication available in experimental statusSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes infoIn-Memory realm
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes

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CrateDBMonetDBQuasardbRealm
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