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DBMS > ObjectBox vs. Quasardb vs. Riak KV vs. Sphinx

System Properties Comparison ObjectBox vs. Quasardb vs. Riak KV vs. Sphinx

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelObject oriented DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteobjectbox.ioquasar.aisphinxsearch.com
Technical documentationdocs.objectbox.iodoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latestsphinxsearch.com/­docs
DeveloperObjectBox LimitedquasardbOpenSource, formerly Basho TechnologiesSphinx Technologies Inc.
Initial release2017200920092001
Current release3.14.1, January 20243.2.0, December 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPL version 2, commercial licence 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++C++ErlangC++
Server operating systemsAndroid
iOS
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynono
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 indexesyesyes infowith tagsrestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsProprietary native APIHTTP APIHTTP API
Native Erlang Interface
Proprietary protocol
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashingSharding infono "single point of failure"Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverSource-replica replication with selectable replication factorselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlyesCryptographically strong user authentication and audit trailyes, using Riak Securityno
More information provided by the system vendor
ObjectBoxQuasardbRiak KVSphinx
News

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

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9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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