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DBMS > BoltDB vs. Ehcache vs. Firebase Realtime Database vs. Hazelcast vs. Linter

System Properties Comparison BoltDB vs. Ehcache vs. Firebase Realtime Database vs. Hazelcast vs. Linter

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonEhcache  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A widely adopted Java cache with tiered storage optionsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A widely adopted in-memory data gridRDBMS for high security requirements
Primary database modelKey-value storeKey-value storeDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#225  Overall
#31  Key-value stores
Score4.79
Rank#66  Overall
#8  Key-value stores
Score13.60
Rank#39  Overall
#6  Document stores
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.03
Rank#368  Overall
#156  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.ehcache.orgfirebase.google.com/­products/­realtime-databasehazelcast.comlinter.ru
Technical documentationwww.ehcache.org/­documentationfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docs
DeveloperTerracotta Inc, owned by Software AGGoogle infoacquired by Google 2014Hazelcastrelex.ru
Initial release20132009201220081990
Current release3.10.0, March 20225.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyes infothe object must implement a serialization strategyno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnononoSQL-like query languageyes
APIs and other access methodsJCacheAndroid
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesGoJavaJava
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'yes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyes infoCache Event ListenersCallbacks are triggered when data changesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta Serveryes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infosupports JTA and can work as an XA resourceyesone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoyes, based on authentication and database rulesRole-based access controlfine grained access rights according to SQL-standard

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More resources
BoltDBEhcacheFirebase Realtime DatabaseHazelcastLinter
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