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DBMS > DataFS vs. Geode vs. Solr vs. YottaDB

System Properties Comparison DataFS vs. Geode vs. Solr vs. YottaDB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGeode  Xexclude from comparisonSolr  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA widely used distributed, scalable search engine based on Apache LuceneA fast and solid embedded Key-value store
Primary database modelObject oriented DBMSKey-value storeSearch engineKey-value store
Secondary database modelsGraph DBMSSpatial DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitenewdatabase.comgeode.apache.orgsolr.apache.orgyottadb.com
Technical documentationdev.mobiland.com/­Overview.xspgeode.apache.org/­docssolr.apache.org/­resources.htmlyottadb.com/­resources/­documentation
DeveloperMobiland AGOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software FoundationYottaDB, LLC
Initial release2018200220062001
Current release1.1.263, October 20221.1, February 20179.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsWindowsAll OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Docker
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingno
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.nonoyesno
Secondary indexesnonoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query language (OQL)Solr Parallel SQL Interfaceby using the Octo plugin
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Java Client API
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsJava plugins
Triggersno, except callback-events from server when changes happenedyes infoCache Event Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeoptimistic lockingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyesyes
User concepts infoAccess controlWindows-ProfileAccess rights per client and object definableyesUsers and groups based on OS-security mechanisms

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More resources
DataFSGeodeSolrYottaDB
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