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DBMS > Prometheus vs. Sphinx vs. Splice Machine vs. SQream DB vs. Valentina Server

System Properties Comparison Prometheus vs. Sphinx vs. Splice Machine vs. SQream DB vs. Valentina Server

Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQream DB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOpen-source Time Series DBMS and monitoring systemOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Sparka GPU-based, columnar RDBMS for big data analytics workloadsObject-relational database and reports server
Primary database modelTime Series DBMSSearch engineRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteprometheus.iosphinxsearch.comsplicemachine.comsqream.comwww.valentina-db.net
Technical documentationprometheus.io/­docssphinxsearch.com/­docssplicemachine.com/­how-it-worksdocs.sqream.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperSphinx Technologies Inc.Splice MachineSQream TechnologiesParadigma Software
Initial release20152001201420171999
Current release3.5.1, February 20233.1, March 20212022.1.6, December 20225.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercialcommercial
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 languageGoC++JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateNumeric data onlynoyesyes, ANSI Standard SQL Typesyes
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.no infoImport of XML data possible
Secondary indexesnoyes infofull-text index on all search fieldsyesnoyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)yesyesyes
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocolJDBC
Native Spark Datasource
ODBC
.Net
JDBC
ODBC
ODBC
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes infoJavauser defined functions in Pythonyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
PrometheusSphinxSplice MachineSQream DBValentina Server
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