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DBMS > Hazelcast vs. HugeGraph vs. Sphinx vs. Trafodion vs. Vitess

System Properties Comparison Hazelcast vs. HugeGraph vs. Sphinx vs. Trafodion vs. Vitess

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparisonSphinx  Xexclude from comparisonTrafodion  Xexclude from comparisonVitess  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 gridA fast-speed and highly-scalable Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesTransactional SQL-on-Hadoop DBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeGraph DBMSSearch 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
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitehazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
sphinxsearch.comtrafodion.apache.orgvitess.io
Technical documentationhazelcast.org/­imdg/­docshugegraph.apache.org/­docssphinxsearch.com/­docstrafodion.apache.org/­documentation.htmlvitess.io/­docs
DeveloperHazelcastBaiduSphinx Technologies Inc.Apache Software Foundation, originally developed by HPThe Linux Foundation, PlanetScale
Initial release20082018200120142013
Current release5.3.6, November 20230.93.5.1, February 20232.3.0, February 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses 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++C++, JavaGo
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Data schemeschema-freeyesyesyesyes
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 strategynono
Secondary indexesyesyes infoalso supports composite index and range indexyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)yesyes infowith proprietary extensions
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocolADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All languages supporting JDBC/ODBC/ADO.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobsnoJava Stored Proceduresyes infoproprietary syntax
Triggersyes infoEventsnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes, via HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoedges in graphnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.yesyesnoyes
User concepts infoAccess controlRole-based access controlUsers, roles and permissionsnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
HazelcastHugeGraphSphinxTrafodionVitess
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