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DBMS > FatDB vs. Hazelcast vs. Realm vs. UniData,UniVerse

System Properties Comparison FatDB vs. Hazelcast vs. Realm vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHazelcast  Xexclude from comparisonRealm  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A widely adopted in-memory data gridA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument store
Key-value store
Key-value storeDocument storeMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.66
Rank#48  Overall
#6  Key-value stores
Score9.29
Rank#50  Overall
#8  Document stores
Score4.19
Rank#81  Overall
#2  Multivalue DBMS
Websitehazelcast.comrealm.iowww.rocketsoftware.com/­products/­rocket-u2
Technical documentationhazelcast.org/­imdg/­docsrealm.io/­docswww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperFatCloudHazelcastRealm, acquired by MongoDB in May 2019Rocket Software
Initial release2012200820141985
Current release4.2, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial
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 languageC#JavaC
Server operating systemsWindowsAll OS with a Java VMAndroid
Backend: server-less
iOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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 indexesyesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languagenoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infovia applicationsyes infoEvent Listeners, Executor Servicesno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersyes infovia applicationsyes infoEventsyes infoChange Listenersyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoReplicated MapnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate 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 datanoone or two-phase-commit; repeatable reads; read commitedACIDACID infoconfigurable
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.yesyes infoIn-Memory realm
User concepts infoAccess controlno infoCan implement custom security layer via applicationsRole-based access controlyesAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
FatDBHazelcastRealmUniData,UniVerse
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Mobile Consumer Apps First-Line Worker Apps
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsUsed by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
Realm database is licensed under the Apache License v2.0.
» more

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FatDBHazelcastRealmUniData,UniVerse
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