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DBMS > Hazelcast vs. OrigoDB vs. Sphinx vs. VoltDB

System Properties Comparison Hazelcast vs. OrigoDB vs. Sphinx vs. VoltDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA fully ACID in-memory object graph databaseOpen 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 modelKey-value storeDocument store
Object oriented DBMS
Search engineRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitehazelcast.comorigodb.comsphinxsearch.comwww.voltdb.com
Technical documentationhazelcast.org/­imdg/­docsorigodb.com/­docssphinxsearch.com/­docsdocs.voltdb.com
DeveloperHazelcastRobert Friberg et alSphinx Technologies Inc.VoltDB Inc.
Initial release20082009 infounder the name LiveDB20012010
Current release5.3.6, November 20233.5.1, February 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen SourceOpen 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++Java, C++
Server operating systemsAll OS with a Java VMLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnoyes
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 strategyno infocan be achieved using .NET
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)yes infoonly a subset of SQL 99
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Proprietary protocolJava API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.NetC++ 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 proceduresyes infoEvent Listeners, Executor ServicesyesnoJava
Triggersyes infoEventsyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynodepending on modelnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes 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.yesyes
User concepts infoAccess controlRole-based access controlRole based authorizationnoUsers and roles with access to stored procedures

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More resources
HazelcastOrigoDBSphinxVoltDB
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