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DBMS > Ehcache vs. Firebase Realtime Database vs. mSQL vs. SingleStore

System Properties Comparison Ehcache vs. Firebase Realtime Database vs. mSQL vs. SingleStore

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA 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.mSQL (Mini SQL) is a simple and lightweight RDBMSMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score13.60
Rank#39  Overall
#6  Document stores
Score1.26
Rank#163  Overall
#74  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.ehcache.orgfirebase.google.com/­products/­realtime-databasehughestech.com.au/­products/­msqlwww.singlestore.com
Technical documentationwww.ehcache.org/­documentationfirebase.google.com/­docs/­databasedocs.singlestore.com
DeveloperTerracotta Inc, owned by Software AGGoogle infoacquired by Google 2014Hughes TechnologiesSingleStore Inc.
Initial release2009201219942013
Current release3.10.0, March 20224.4, October 20218.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infofree licenses can be providedcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++, Go
Server operating systemsAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux info64 bit version required
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infobut no triggers and foreign keys
APIs and other access methodsJCacheAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJavaJava
JavaScript
Objective-C
C
C++
Delphi
Java
Perl
PHP
Tcl
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyes
Triggersyes infoCache Event ListenersCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServernoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
noneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoyes, based on authentication and database rulesnoFine grained access control via users, groups and roles

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More resources
EhcacheFirebase Realtime DatabasemSQL infoMini SQLSingleStore infoformer name was MemSQL
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