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DBMS > Hazelcast vs. OrientDB vs. Sphinx vs. TDSQL for MySQL vs. Trafodion

System Properties Comparison Hazelcast vs. OrientDB vs. Sphinx vs. TDSQL for MySQL vs. Trafodion

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonOrientDB  Xexclude from comparisonSphinx  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely adopted in-memory data gridMulti-model DBMS (Document, Graph, Key/Value)Open source search engine for searching in data from different sources, e.g. relational databasesA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Transactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Search engineRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitehazelcast.comorientdb.orgsphinxsearch.comwww.tencentcloud.com/­products/­dcdbtrafodion.apache.org
Technical documentationhazelcast.org/­imdg/­docswww.orientdb.com/­docs/­last/­index.htmlsphinxsearch.com/­docswww.tencentcloud.com/­document/­product/­1042trafodion.apache.org/­documentation.html
DeveloperHazelcastOrientDB LTD; CallidusCloud; SAPSphinx Technologies Inc.TencentApache Software Foundation, originally developed by HP
Initial release20082010200120132014
Current release5.3.6, November 20233.2.29, March 20243.5.1, February 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2Open Source infoGPL version 2, commercial licence availablecommercialOpen Source infoApache 2.0
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++C++, Java
Server operating systemsAll OS with a Java VMAll OS with a Java JDK (>= JDK 6)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hostedLinux
Data schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyesyes
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language, no joinsSQL-like query language (SphinxQL)yesyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Proprietary protocolJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.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#
C++
Java
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesJava, JavascriptnoyesJava Stored Procedures
Triggersyes infoEventsHooksnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replicationnoneMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocould be achieved with distributed queriesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole-based access controlAccess rights for users and roles; record level security configurablenoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
HazelcastOrientDBSphinxTDSQL for MySQLTrafodion
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