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DBMS > Kuzu vs. Netezza vs. OrientDB vs. Sphinx vs. Splice Machine

System Properties Comparison Kuzu vs. Netezza vs. OrientDB vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameKuzu  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrientDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn embeddable property Graph DBMS built for query speed and scalabilityData warehouse and analytics appliance part of IBM PureSystemsMulti-model DBMS (Document, Graph, Key/Value)Open 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 Spark
Primary database modelGraph DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#402  Overall
#41  Graph DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitekuzudb.comwww.ibm.com/­products/­netezzaorientdb.orgsphinxsearch.comsplicemachine.com
Technical documentationdocs.kuzudb.comwww.orientdb.com/­docs/­last/­index.htmlsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperIBMOrientDB LTD; CallidusCloud; SAPSphinx Technologies Inc.Splice Machine
Initial release20222000201020012014
Current release0.4.2, May 20243.2.29, March 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT licensecommercialOpen Source infoApache version 2Open Source infoGPL version 2, commercial licence 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++Java
Server operating systemsserver-lessLinux infoincluded in applianceAll OS with a Java JDK (>= JDK 6)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesSQL-like query language, no joinsSQL-like query language (SphinxQL)yes
APIs and other access methodsCLI Client
Cypher Query Language
JDBC
ODBC
OLE DB
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript
Python
Rust
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesJava, Javascriptnoyes infoJava
TriggersnonoHooksnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queriesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptAccess rights for users and roles; record level security configurablenoAccess rights for users, groups and roles according to SQL-standard

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More resources
KuzuNetezza infoAlso called PureData System for Analytics by IBMOrientDBSphinxSplice Machine
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