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DBMS > Hazelcast vs. HugeGraph vs. ITTIA vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison Hazelcast vs. HugeGraph vs. ITTIA vs. Microsoft Azure AI Search vs. Sphinx

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparisonITTIA  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMSEdge Time Series DBMS with Real-Time Stream ProcessingSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeGraph DBMSTime Series DBMSSearch engineSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websitehazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
www.ittia.comazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationhazelcast.org/­imdg/­docshugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperHazelcastBaiduITTIA L.L.C.MicrosoftSphinx Technologies Inc.
Initial release20082018200720152001
Current release5.3.6, November 20230.98.7V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++C++
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesno
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesyes infoalso supports composite index and range indexyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoyesnoSQL-like query language (SphinxQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP APIProprietary protocol
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
C
C++
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobsyesnono
Triggersyes infoEventsnononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBaseyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlRole-based access controlUsers, roles and permissionsDatabase file passwordsyes infousing Azure authenticationno

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More resources
HazelcastHugeGraphITTIAMicrosoft Azure AI SearchSphinx
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