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DBMS > Cachelot.io vs. Dragonfly vs. Firebase Realtime Database vs. Geode vs. TimesTen

System Properties Comparison Cachelot.io vs. Dragonfly vs. Firebase Realtime Database vs. Geode vs. TimesTen

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDragonfly  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeode  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionIn-memory caching systemA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceCloud-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 processesAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelKey-value storeKey-value storeDocument storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.44
Rank#255  Overall
#38  Key-value stores
Score13.60
Rank#39  Overall
#6  Document stores
Score1.51
Rank#147  Overall
#25  Key-value stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitecachelot.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
firebase.google.com/­products/­realtime-databasegeode.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.dragonflydb.io/­docsfirebase.google.com/­docs/­databasegeode.apache.org/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperDragonflyDB team and community contributorsGoogle infoacquired by Google 2014Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20152023201220021998
Current release1.0, March 20231.1, February 2017Release 22.1
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoBSL 1.1commercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsFreeBSD
Linux
OS X
LinuxhostedAll OS with a Java VM infothe JDK (8 or later) is also requiredIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freescheme-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLnononoSQL-like query language (OQL)yes
APIs and other access methodsMemcached protocolProprietary protocol infoRESP - REdis Serialization ProtocolAndroid
iOS
JavaScript API
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
JavaScript
Objective-C
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnoLualimited functionality with using 'rules'user defined functionsPL/SQL
Triggersnopublish/subscribe channels provide some trigger functionalityCallbacks are triggered when data changesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsyesyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoPassword-based authenticationyes, based on authentication and database rulesAccess rights per client and object definablefine grained access rights according to SQL-standard

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More resources
Cachelot.ioDragonflyFirebase Realtime DatabaseGeodeTimesTen
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