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DBMS > DataFS vs. ObjectBox vs. Solr vs. Vitess

System Properties Comparison DataFS vs. ObjectBox vs. Solr vs. Vitess

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonObjectBox  Xexclude from comparisonSolr  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA widely used distributed, scalable search engine based on Apache LuceneScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelObject oriented DBMSObject oriented DBMS
Vector DBMS
Search engineRelational DBMS
Secondary database modelsGraph DBMSTime Series DBMSSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitenewdatabase.comgithub.com/­objectbox
objectbox.io
solr.apache.orgvitess.io
Technical documentationdev.mobiland.com/­Overview.xspdocs.objectbox.iosolr.apache.org/­resources.htmlvitess.io/­docs
DeveloperMobiland AGObjectBox LimitedApache Software FoundationThe Linux Foundation, PlanetScale
Initial release2018201720062013
Current release1.1.263, October 20224.0 (May 2024)9.6.1, May 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0, commercial licenses available
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 languageC and C++JavaGo
Server operating systemsWindowsAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Docker
Linux
macOS
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyes infosupports customizable data types and automatic typingyes
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.nonoyes
Secondary indexesnoyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceyes infowith proprietary extensions
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Proprietary native APIJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJava pluginsyes infoproprietary syntax
Triggersno, except callback-events from server when changes happenednoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesData sync between devices allowing occasional connected databases to work completely offlineyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlWindows-ProfileyesyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
DataFSObjectBoxSolrVitess
News

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

Vector search: making sense of search queries
29 May 2024

Python on-device Vector and Object Database for Local AI
28 May 2024

Evolution of search: traditional vs vector search
23 May 2024

On-device Vector Database for Dart/Flutter
21 May 2024

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More resources
DataFSObjectBoxSolrVitess
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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

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13 December 2018, TechCrunch

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