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DBMS > Hazelcast vs. Microsoft Azure Table Storage vs. NCache vs. Realm

System Properties Comparison Hazelcast vs. Microsoft Azure Table Storage vs. NCache vs. Realm

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNCache  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA Wide Column Store for rapid development using massive semi-structured datasetsOpen-Source and Enterprise in-memory Key-Value StoreA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value storeWide column storeKey-value storeDocument store
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
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.94
Rank#195  Overall
#29  Key-value stores
Score7.60
Rank#52  Overall
#9  Document stores
Websitehazelcast.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.alachisoft.com/­ncacherealm.io
Technical documentationhazelcast.org/­imdg/­docswww.alachisoft.com/­resources/­docsrealm.io/­docs
DeveloperHazelcastMicrosoftAlachisoftRealm, acquired by MongoDB in May 2019
Initial release2008201220052014
Current release5.3.6, November 20235.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoEnterprise Edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#, .NET, .NET Core, Java
Server operating systemsAll OS with a Java VMhostedLinux
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeschema-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 strategynonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.no
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIIDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnono infosupport for stored procedures with SQL-Server CLRno inforuns within the applications so server-side scripts are unnecessary
Triggersyes infoEventsnoyes infoNotificationsyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedoptimistic lockingoptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyesyes infoIn-Memory realm
User concepts infoAccess controlRole-based access controlAccess rights based on private key authentication or shared access signaturesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)yes
More information provided by the system vendor
HazelcastMicrosoft Azure Table StorageNCacheRealm
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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HazelcastMicrosoft Azure Table StorageNCacheRealm
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