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DBMS > ObjectBox vs. Sphinx vs. Splice Machine vs. SQream DB vs. XTDB

System Properties Comparison ObjectBox vs. Sphinx vs. Splice Machine vs. SQream DB vs. XTDB

Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQream DB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Sparka GPU-based, columnar RDBMS for big data analytics workloadsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelObject oriented DBMSSearch engineRelational DBMSRelational DBMSDocument store
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
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteobjectbox.iosphinxsearch.comsplicemachine.comsqream.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.objectbox.iosphinxsearch.com/­docssplicemachine.com/­how-it-worksdocs.sqream.comwww.xtdb.com/­docs
DeveloperObjectBox LimitedSphinx Technologies Inc.Splice MachineSQream TechnologiesJuxt Ltd.
Initial release20172001201420172019
Current release3.5.1, February 20233.1, March 20212022.1.6, December 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++JavaC++, CUDA, Haskell, Java, ScalaClojure
Server operating systemsAndroid
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Typesyes, extensible-data-notation format
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.nono
Secondary indexesyesyes infofull-text index on all search fieldsyesnoyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)yesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsProprietary native APIProprietary protocolJDBC
Native Spark Datasource
ODBC
.Net
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresnonoyes infoJavauser defined functions in Pythonno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and servernoneMulti-source replication
Source-replica replication
noneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ObjectBoxSphinxSplice MachineSQream DBXTDB infoformerly named Crux
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

Vector Databases for Edge AI
9 August 2023

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

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More resources
ObjectBoxSphinxSplice MachineSQream DBXTDB infoformerly named Crux
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