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DBMS > Riak TS vs. Solr vs. Sphinx vs. TinkerGraph

System Properties Comparison Riak TS vs. Solr vs. Sphinx vs. TinkerGraph

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Editorial information provided by DB-Engines
NameRiak TS  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSSearch engineSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitesolr.apache.orgsphinxsearch.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestsolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperOpen Source, formerly Basho TechnologiesApache Software FoundationSphinx Technologies Inc.
Initial release2015200620012009
Current release3.0.0, September 20229.6.1, May 20243.5.1, February 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen 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 languageErlangJavaC++Java
Server operating systemsLinux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or datenoyes infosupports customizable data types and automatic typingnoyes
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.noyesno
Secondary indexesrestrictedyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes, limitedSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsHTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
Proprietary protocolTinkerPop 3
Supported programming languagesC 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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Groovy
Java
Server-side scripts infoStored proceduresErlangJava pluginsnono
Triggersyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityno infolinks between datasets can be storednonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.optional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoyesnono

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Riak TSSolrSphinxTinkerGraph
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