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DBMS > Graph Engine vs. Riak KV vs. Solr vs. Trafodion

System Properties Comparison Graph Engine vs. Riak KV vs. Solr vs. Trafodion

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonRiak KV  Xexclude from comparisonSolr  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed, fault tolerant key-value storeA widely used distributed, scalable search engine based on Apache LuceneTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
Key-value store
Key-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.graphengine.iosolr.apache.orgtrafodion.apache.org
Technical documentationwww.graphengine.io/­docs/­manualwww.tiot.jp/­riak-docs/­riak/­kv/­latestsolr.apache.org/­resources.htmltrafodion.apache.org/­documentation.html
DeveloperMicrosoftOpenSource, formerly Basho TechnologiesApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2010200920062014
Current release3.2.0, December 20229.5.0, February 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CErlangJavaC++, Java
Server operating systems.NETLinux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesnoyes infosupports customizable data types and automatic typingyes
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 indexesrestrictedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceyes
APIs and other access methodsRESTful HTTP APIHTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesErlangJava pluginsJava Stored Procedures
Triggersnoyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyes, using Riak Securityyesfine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityRiak KVSolrTrafodion
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