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DBMS > Hazelcast vs. IBM Db2 Event Store vs. LokiJS vs. Sphinx vs. UniData,UniVerse

System Properties Comparison Hazelcast vs. IBM Db2 Event Store vs. LokiJS vs. Sphinx vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLokiJS  Xexclude from comparisonSphinx  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use casesIn-memory JavaScript DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeEvent Store
Time Series DBMS
Document storeSearch engineMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitehazelcast.comwww.ibm.com/­products/­db2-event-storegithub.com/­techfort/­LokiJSsphinxsearch.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-storetechfort.github.io/­LokiJSsphinxsearch.com/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperHazelcastIBMSphinx Technologies Inc.Rocket Software
Initial release20082017201420011985
Current release5.3.6, November 20232.03.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availableOpen SourceOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaScriptC++C
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnonooptional
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 indexesyesnoyes infovia viewsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageyes infothrough the embedded Spark runtimenoSQL-like query language (SphinxQL)yes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JavaScript APIProprietary protocolJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesyesView functions in JavaScriptnoyes
Triggersyes infoEventsnoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapActive-active shard replicationnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistencynone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednono infoatomic operations within a single collection possiblenoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardnonoAccess rights according to SQL-standard and operating system based

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HazelcastIBM Db2 Event StoreLokiJSSphinxUniData,UniVerse
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