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DBMS > Datomic vs. MonetDB vs. ObjectBox vs. Qdrant

System Properties Comparison Datomic vs. MonetDB vs. ObjectBox vs. Qdrant

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMonetDB  Xexclude from comparisonObjectBox  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA relational database management system that stores data in columnsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Vector DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websitewww.datomic.comwww.monetdb.orggithub.com/­objectbox
objectbox.io
github.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.datomic.comwww.monetdb.org/­Documentationdocs.objectbox.ioqdrant.tech/­documentation
DeveloperCognitectMonetDB BVObjectBox LimitedQdrant
Initial release2012200420172021
Current release1.0.7180, July 2024Dec2023 (11.49), December 20234.0 (May 2024)
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMozilla Public License 2.0Bindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache Version 2.0
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 languageJava, ClojureCC and C++Rust
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesNumbers, Strings, Geo, Boolean
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 indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnono
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary native APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesClojure
Java
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, in SQL, C, Rno
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding via remote tablesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnone infoSource-replica replication available in experimental statusData sync between devices allowing occasional connected databases to work completely offlineCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesKey-based authentication
More information provided by the system vendor
DatomicMonetDBObjectBoxQdrant
News

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17 September 2024

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11 September 2024

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24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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DatomicMonetDBObjectBoxQdrant
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