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DBMS > HugeGraph vs. InterSystems IRIS vs. Microsoft Azure AI Search vs. Sphinx vs. VoltDB

System Properties Comparison HugeGraph vs. InterSystems IRIS vs. Microsoft Azure AI Search vs. Sphinx vs. VoltDB

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Search engineSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comwww.voltdb.com
Technical documentationhugegraph.apache.org/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clslearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsdocs.voltdb.com
DeveloperBaiduInterSystemsMicrosoftSphinx Technologies Inc.VoltDB Inc.
Initial release20182018201520012010
Current release0.92023.3, June 2023V13.5.1, February 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java, C++
Server operating systemsLinux
macOS
Unix
AIX
Linux
macOS
Ubuntu
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeyesdepending on used data modelyesyesyes
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.noyesno
Secondary indexesyes infoalso supports composite index and range indexyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesnoSQL-like query language (SphinxQL)yes infoonly a subset of SQL 99
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIProprietary protocolJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGroovy
Java
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesnonoJava
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers, roles and permissionsyesyes infousing Azure authenticationnoUsers and roles with access to stored procedures
More information provided by the system vendor
HugeGraphInterSystems IRISMicrosoft Azure AI SearchSphinxVoltDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
HugeGraphInterSystems IRISMicrosoft Azure AI SearchSphinxVoltDB
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