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DBMS > Geode vs. IRONdb vs. Realm vs. Sadas Engine vs. Sphinx

System Properties Comparison Geode vs. IRONdb vs. Realm vs. Sadas Engine vs. Sphinx

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonIRONdb  Xexclude from comparisonRealm  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeTime Series DBMSDocument storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score7.60
Rank#52  Overall
#9  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegeode.apache.orgwww.circonus.com/solutions/time-series-database/realm.iowww.sadasengine.comsphinxsearch.com
Technical documentationgeode.apache.org/­docsdocs.circonus.com/irondb/category/getting-startedrealm.io/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Circonus LLC.Realm, acquired by MongoDB in May 2019SADAS s.r.l.Sphinx Technologies Inc.
Initial release20022017201420062001
Current release1.1, February 2017V0.10.20, January 20188.03.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Sourcecommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxAndroid
Backend: server-less
iOS
Windows
AIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesno
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 indexesnonoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like query language (Circonus Analytics Query Language: CAQL)noyesSQL-like query language (SphinxQL)
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
HTTP APIJDBC
ODBC
Proprietary protocol
Proprietary protocol
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsyes, in Luano inforuns within the applications so server-side scripts are unnecessarynono
Triggersyes infoCache Event Listenersnoyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationconfigurable replication factor, datacenter awarenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realmyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights per client and object definablenoyesAccess rights for users, groups and roles according to SQL-standardno

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More resources
GeodeIRONdbRealmSadas EngineSphinx
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