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DBMS > OushuDB vs. Prometheus vs. SingleStore vs. Warp 10

System Properties Comparison OushuDB vs. Prometheus vs. SingleStore vs. Warp 10

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Editorial information provided by DB-Engines
NameOushuDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningOpen-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 typeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series 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
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.oushu.com/­product/­oushuDBprometheus.iowww.singlestore.comwww.warp10.io
Technical documentationwww.oushu.com/­documentationprometheus.io/­docsdocs.singlestore.comwww.warp10.io/­content/­02_Getting_started
DeveloperOushuSingleStore Inc.SenX
Initial release201520132015
Current release4.0.1, August 20208.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition availableOpen 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 systemsLinuxLinux
Windows
Linux info64 bit version requiredLinux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLFull-featured ANSI SQL supportnoyes infobut no triggers and foreign keysno
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C++
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoyesyes infoWarpScript
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding 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 methodsHadoop integrationnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlKerberos, SSL and role based accessnoFine grained access control via users, groups and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
OushuDBPrometheusSingleStore infoformer name was MemSQLWarp 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
OushuDBPrometheusSingleStore infoformer name was MemSQLWarp 10
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SingleStore: The Increasing Momentum of Multi-Model Database Systems
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