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DBMS > Sphinx vs. Splunk vs. WakandaDB

System Properties Comparison Sphinx vs. Splunk vs. WakandaDB

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonSplunk  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesAnalytics Platform for Big DataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineSearch engineObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.06
Rank#61  Overall
#6  Search engines
Score89.68
Rank#14  Overall
#2  Search engines
Score0.06
Rank#374  Overall
#17  Object oriented DBMS
Websitesphinxsearch.comwww.splunk.comwakanda.github.io
Technical documentationsphinxsearch.com/­docsdocs.splunk.com/­Documentation/­Splunkwakanda.github.io/­doc
DeveloperSphinx Technologies Inc.Splunk Inc.Wakanda SAS
Initial release200120032012
Current release3.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availablecommercial infoLimited free edition and free developer edition availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaScript
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or datenoyesyes
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.yesno
Secondary indexesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language (SphinxQL)no infoSplunk Search Processing Language for search commandsno
APIs and other access methodsProprietary protocolHTTP RESTRESTful HTTP API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAccess rights for users and rolesyes

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More resources
SphinxSplunkWakandaDB
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