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DBMS > Hazelcast vs. LevelDB vs. Sphinx vs. UniData,UniVerse

System Properties Comparison Hazelcast vs. LevelDB vs. Sphinx vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonLevelDB  Xexclude from comparisonSphinx  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA widely adopted in-memory data gridEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen 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 storeKey-value 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
Score5.72
Rank#59  Overall
#6  Key-value stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Score2.25
Rank#112  Overall
#2  Multivalue DBMS
Websitehazelcast.comgithub.com/­google/­leveldbsphinxsearch.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhazelcast.org/­imdg/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsphinxsearch.com/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperHazelcastGoogleSphinx Technologies Inc.Rocket Software
Initial release2008201120011985
Current release5.3.6, November 20231.23, February 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonooptional
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
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)yes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary 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++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++ 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 Servicesnonoyes
Triggersyes infoEventsnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapnonenoneSource-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 AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednonoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes 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.yes
User concepts infoAccess controlRole-based access controlnonoAccess rights according to SQL-standard and operating system based

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More resources
HazelcastLevelDBSphinxUniData,UniVerse
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