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DBMS > JaguarDB vs. ObjectBox vs. Riak KV vs. Sadas Engine vs. Splice Machine

System Properties Comparison JaguarDB vs. ObjectBox vs. Riak KV vs. Sadas Engine vs. Splice Machine

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonObjectBox  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsExtremely fast embedded database for small devices, IoT and MobileDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Vector DBMS
Object oriented DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.jaguardb.comobjectbox.iowww.sadasengine.comsplicemachine.com
Technical documentationwww.jaguardb.com/­support.htmldocs.objectbox.iowww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsplicemachine.com/­how-it-works
DeveloperDataJaguar, Inc.ObjectBox LimitedOpenSource, formerly Basho TechnologiesSADAS s.r.l.Splice Machine
Initial release20152017200920062014
Current release3.3 July 20233.2.0, December 20228.03.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open Source infoApache License 2.0Open Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesC and C++ErlangC++Java
Server operating systemsLinuxAndroid
iOS
Linux
macOS
Windows
Linux
OS X
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesyesrestrictedyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnonoyesyes
APIs and other access methodsJDBC
ODBC
Proprietary native APIHTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoErlangnoyes infoJava
Triggersnonoyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infono "single point of failure"horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationonline/offline synchronization between client and serverselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storedyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlrights management via user accountsyesyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
JaguarDBObjectBoxRiak KVSadas EngineSplice Machine
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More resources
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