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DBMS > RethinkDB vs. Solr vs. Splunk vs. Sqrrl

System Properties Comparison RethinkDB vs. Solr vs. Splunk vs. Sqrrl

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Editorial information provided by DB-Engines
NameRethinkDB  Xexclude from comparisonSolr  Xexclude from comparisonSplunk  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionDBMS for the Web with a mechanism to push updated query results to applications in realtime.A widely used distributed, scalable search engine based on Apache LuceneAnalytics Platform for Big DataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeSearch engineSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#106  Overall
#19  Document stores
Score44.28
Rank#24  Overall
#3  Search engines
Score88.71
Rank#14  Overall
#2  Search engines
Websiterethinkdb.comsolr.apache.orgwww.splunk.comsqrrl.com
Technical documentationrethinkdb.com/­docssolr.apache.org/­resources.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperThe Linux Foundation infosince July 2017Apache Software FoundationSplunk Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2009200620032012
Current release2.4.1, August 20209.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2commercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyes infostring, binary, float, bool, date, geometryyes infosupports customizable data types and automatic typingyesyes
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.noyesyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSolr Parallel SQL Interfaceno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresJava pluginsyesno
TriggersClient-side triggers through changefeedsyes infoUser configurable commands triggered on index changesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding inforange basedShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsoptimistic lockingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes infoMVCC basedyesyesyes
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.noyesno
User concepts infoAccess controlyes infousers and table-level permissionsyesAccess rights for users and rolesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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RethinkDBSolrSplunkSqrrl
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