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DBMS > HugeGraph vs. Netezza vs. Oracle Coherence vs. Sphinx vs. Splice Machine

System Properties Comparison HugeGraph vs. Netezza vs. Oracle Coherence vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSData warehouse and analytics appliance part of IBM PureSystemsOracles in-memory data grid solutionOpen 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 DBMSKey-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­netezzawww.oracle.com/­java/­coherencesphinxsearch.comsplicemachine.com
Technical documentationhugegraph.apache.org/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencesphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperBaiduIBMOracleSphinx Technologies Inc.Splice Machine
Initial release20182000200720012014
Current release0.914.1, August 20233.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen 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 languageJavaJavaC++Java
Server operating systemsLinux
macOS
Unix
Linux infoincluded in applianceAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
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 indexesyes infoalso supports composite index and range indexyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesnoSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesGroovy
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Java
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 proceduresasynchronous Gremlin script jobsyesnonoyes infoJava
Triggersnonoyes infoLive Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingSharding 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 nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyes, with selectable consistency levelnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDconfigurablenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infooptionallyyes 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.yesyesyes
User concepts infoAccess controlUsers, roles and permissionsUsers with fine-grained authorization conceptauthentification to access the cache via certificates or http basic authenticationnoAccess rights for users, groups and roles according to SQL-standard

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More resources
HugeGraphNetezza infoAlso called PureData System for Analytics by IBMOracle CoherenceSphinxSplice Machine
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