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DBMS > Databend vs. HugeGraph vs. ObjectBox vs. Realm vs. SQLite

System Properties Comparison Databend vs. HugeGraph vs. ObjectBox vs. Realm vs. SQLite

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHugeGraph  Xexclude from comparisonObjectBox  Xexclude from comparisonRealm  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA fast-speed and highly-scalable Graph DBMSExtremely fast embedded database for small devices, IoT and MobileA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSGraph DBMSObject oriented DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­hugegraph
hugegraph.apache.org
objectbox.iorealm.iowww.sqlite.org
Technical documentationdocs.databend.comhugegraph.apache.org/­docsdocs.objectbox.iorealm.io/­docswww.sqlite.org/­docs.html
DeveloperDatabend LabsBaiduObjectBox LimitedRealm, acquired by MongoDB in May 2019Dwayne Richard Hipp
Initial release20212018201720142000
Current release1.0.59, April 20230.93.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache License 2.0Open SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaC and C++C
Server operating systemshosted
Linux
macOS
Linux
macOS
Unix
Android
iOS
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
server-less
Data schemeyesyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonononono
Secondary indexesnoyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLyesnononoyes infoSQL-92 is not fully supported
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary native APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Groovy
Java
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnono inforuns within the applications so server-side scripts are unnecessaryno
Triggersnononoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseonline/offline synchronization between client and servernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realmyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesUsers, roles and permissionsyesyesno
More information provided by the system vendor
DatabendHugeGraphObjectBoxRealmSQLite
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