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DBMS > Ehcache vs. Google Cloud Firestore vs. KeyDB vs. Kingbase

System Properties Comparison Ehcache vs. Google Cloud Firestore vs. KeyDB vs. Kingbase

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKeyDB  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelKey-value storeDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.50
Rank#257  Overall
#119  Relational DBMS
Websitewww.ehcache.orgfirebase.google.com/­products/­firestoregithub.com/­Snapchat/­KeyDB
keydb.dev
www.kingbase.com.cn
Technical documentationwww.ehcache.org/­documentationfirebase.google.com/­docs/­firestoredocs.keydb.dev
DeveloperTerracotta Inc, owned by Software AGGoogleEQ Alpha Technology Ltd.BeiJing KINGBASE Information technologies inc.
Initial release2009201720191999
Current release3.10.0, March 2022V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and Java
Server operating systemsAll OS with a Java VMhostedLinuxLinux
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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
Secondary indexesnoyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnononoStandard with numerous extensions
APIs and other access methodsJCacheAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesJavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud FunctionsLuauser defined functions
Triggersyes infoCache Event Listenersyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceyesOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.simple password-based access control and ACLfine grained access rights according to SQL-standard

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More resources
EhcacheGoogle Cloud FirestoreKeyDBKingbase
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