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DBMS > Hazelcast vs. MarkLogic vs. NCache vs. Sadas Engine

System Properties Comparison Hazelcast vs. MarkLogic vs. NCache vs. Sadas Engine

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMarkLogic  Xexclude from comparisonNCache  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA widely adopted in-memory data gridOperational and transactional Enterprise NoSQL databaseOpen-Source and Enterprise in-memory Key-Value StoreSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.94
Rank#195  Overall
#29  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitehazelcast.comwww.marklogic.comwww.alachisoft.com/­ncachewww.sadasengine.com
Technical documentationhazelcast.org/­imdg/­docsdocs.marklogic.comwww.alachisoft.com/­resources/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperHazelcastMarkLogic Corp.AlachisoftSADAS s.r.l.
Initial release2008200120052006
Current release5.3.6, November 202311.0, December 20225.3.3, April 20248.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availableOpen Source infoEnterprise Edition availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#, .NET, .NET Core, JavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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 strategyyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL92SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
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
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes infovia XQuery or JavaScriptno infosupport for stored procedures with SQL-Server CLRno
Triggersyes infoEventsyesyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyesyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACID infocan act as a resource manager in an XA/JTA transactionoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlRole-based access controlRole-based access control at the document and subdocument levelsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HazelcastMarkLogicNCacheSadas Engine
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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HazelcastMarkLogicNCacheSadas Engine
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