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DBMS > Hazelcast vs. LevelDB vs. MarkLogic vs. Sadas Engine vs. Valentina Server

System Properties Comparison Hazelcast vs. LevelDB vs. MarkLogic vs. Sadas Engine vs. Valentina Server

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonLevelDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparisonValentina Server  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 valuesOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsObject-relational database and reports server
Primary database modelKey-value storeKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.87
Rank#55  Overall
#6  Key-value stores
Score2.75
Rank#107  Overall
#19  Key-value stores
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score0.03
Rank#379  Overall
#156  Relational DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitehazelcast.comgithub.com/­google/­leveldbwww.marklogic.comwww.sadasengine.comwww.valentina-db.net
Technical documentationhazelcast.org/­imdg/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperHazelcastGoogleMarkLogic Corp.SADAS s.r.l.Paradigma Software
Initial release20082011200120061999
Current release5.3.6, November 20231.23, February 202111.0, December 20228.05.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDcommercial inforestricted free version is availablecommercial infofree trial version availablecommercial
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 languageJavaC++C++C++
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
OS X
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 strategynoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL92yesyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
ODBC
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
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnoyes infovia XQuery or JavaScriptnoyes
Triggersyes infoEventsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlRole-based access controlnoRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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HazelcastLevelDBMarkLogicSadas EngineValentina Server
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