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DBMS > Prometheus vs. SingleStore vs. Valentina Server vs. Warp 10

System Properties Comparison Prometheus vs. SingleStore vs. Valentina Server vs. Warp 10

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Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonValentina Server  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source Time Series DBMS and monitoring systemMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeObject-relational database and reports serverTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Websiteprometheus.iowww.singlestore.comwww.valentina-db.netwww.warp10.io
Technical documentationprometheus.io/­docsdocs.singlestore.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwww.warp10.io/­content/­02_Getting_started
DeveloperSingleStore Inc.Paradigma SoftwareSenX
Initial release2015201319992015
Current release8.5, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availablecommercialOpen Source infoApache License 2.0
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageGoC++, GoJava
Server operating systemsLinux
Windows
Linux info64 bit version requiredLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyes
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 possiblenono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysyesno
APIs and other access methodsRESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ODBCHTTP API
Jupyter
WebSocket
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyesyes infoWarpScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationSource-replica replication infostores two copies of each physical data partition on two separate nodesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoFine grained access control via users, groups and rolesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
PrometheusSingleStore infoformer name was MemSQLValentina ServerWarp 10
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
PrometheusSingleStore infoformer name was MemSQLValentina ServerWarp 10
DB-Engines blog posts

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9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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