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DBMS > Firebase Realtime Database vs. GeoSpock vs. Graph Engine vs. H2 vs. KeyDB

System Properties Comparison Firebase Realtime Database vs. GeoSpock vs. Graph Engine vs. H2 vs. KeyDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGeoSpock  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonKeyDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spatial and temporal data processing engine for extreme data scaleA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelDocument storeRelational DBMSGraph DBMS
Key-value store
Relational DBMSKey-value store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasegeospock.comwww.graphengine.iowww.h2database.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationfirebase.google.com/­docs/­databasewww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmldocs.keydb.dev
DeveloperGoogle infoacquired by Google 2014GeoSpockMicrosoftThomas MuellerEQ Alpha Technology Ltd.
Initial release2012201020052019
Current release2.0, September 20192.2.220, July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Javascript.NET and CJavaC++
Server operating systemshostedhosted.NETAll OS with a Java VMLinux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nonononono
Secondary indexesyestemporal, categoricalyesyes infoby using the Redis Search module
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBCRESTful HTTP APIJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
F#
Visual Basic
JavaC
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
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesJava Stored Procedures and User-Defined FunctionsLua
TriggersCallbacks are triggered when data changesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users can be defined per tablefine grained access rights according to SQL-standardsimple password-based access control and ACL

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More resources
Firebase Realtime DatabaseGeoSpockGraph Engine infoformer name: TrinityH2KeyDB
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