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DBMS > Citus vs. SiriDB vs. Sphinx vs. Splunk vs. SurrealDB

System Properties Comparison Citus vs. SiriDB vs. Sphinx vs. Splunk vs. SurrealDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonSiriDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplunk  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesAnalytics Platform for Big DataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSTime Series DBMSSearch engineSearch engineDocument store
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score89.10
Rank#14  Overall
#2  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.citusdata.comsiridb.comsphinxsearch.comwww.splunk.comsurrealdb.com
Technical documentationdocs.citusdata.comdocs.siridb.comsphinxsearch.com/­docsdocs.splunk.com/­Documentation/­Splunksurrealdb.com/­docs
DeveloperCesbitSphinx Technologies Inc.Splunk Inc.SurrealDB Ltd
Initial release20102017200120032022
Current release8.1, December 20183.5.1, February 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence availablecommercial infoLimited free edition and free developer edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++Rust
Server operating systemsLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoNumeric datanoyesyes
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.yes infospecific XML type available, but no XML query functionalitynoyes
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query language (SphinxQL)no infoSplunk Search Processing Language for search commandsSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIProprietary protocolHTTP RESTGraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsnoAccess rights for users and rolesyes, based on authentication and database rules

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More resources
CitusSiriDBSphinxSplunkSurrealDB
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