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DBMS > Citus vs. Riak TS vs. Sadas Engine vs. SiriDB vs. Sphinx

System Properties Comparison Citus vs. Riak TS vs. Sadas Engine vs. SiriDB vs. Sphinx

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonRiak TS  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.50
Rank#140  Overall
#69  Relational DBMS
Score0.33
Rank#264  Overall
#19  Time Series DBMS
Score0.00
Rank#354  Overall
#143  Relational DBMS
Score0.10
Rank#319  Overall
#29  Time Series DBMS
Score8.00
Rank#52  Overall
#5  Search engines
Websitewww.citusdata.comriak.com/­products/­riak-tswww.sadasengine.comsiridb.netsphinxsearch.com
Technical documentationdocs.citusdata.comwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.siridb.netsphinxsearch.com/­docs
DeveloperBasho TechnologiesSADAS s.r.l.Transceptor TechnologySphinx Technologies Inc.
Initial release20102015200620172001
Current release8.1, December 20188.03.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Sourcecommercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
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 languageCErlangC++CC++
Server operating systemsLinuxLinux
OS X
AIX
Linux
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyes infoNumeric datano
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 functionalitynonono
Secondary indexesyesrestrictedyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
HTTP APIProprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.JavaScript and Erlangnonono
Triggersyesyes infopre-commit hooks and post-commit hooksnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factornoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between datasets can be storedyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsno

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More resources
CitusRiak TSSadas EngineSiriDBSphinx
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