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DBMS > Firebase Realtime Database vs. Geode vs. RocksDB vs. TimescaleDB

System Properties Comparison Firebase Realtime Database vs. Geode vs. RocksDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGeode  Xexclude from comparisonRocksDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeKey-value storeKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score1.51
Rank#147  Overall
#25  Key-value stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasegeode.apache.orgrocksdb.orgwww.timescale.com
Technical documentationfirebase.google.com/­docs/­databasegeode.apache.org/­docsgithub.com/­facebook/­rocksdb/­wikidocs.timescale.com
DeveloperGoogle infoacquired by Google 2014Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Facebook, Inc.Timescale
Initial release2012200220132017
Current release1.1, February 20179.4.0, June 20242.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like query language (OQL)noyes infofull PostgreSQL SQL syntax
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
C++ API
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
JavaScript
Objective-C
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Go
Java
Perl
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersCallbacks are triggered when data changesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication with hot standby and reads on replicas info
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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodeyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights per client and object definablenofine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseGeodeRocksDBTimescaleDB
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