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

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

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonPrometheus  Xexclude from comparisonValentina Server  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityOpen-source Time Series DBMS and monitoring systemObject-relational database and reports serverTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
prometheus.iowww.valentina-db.netwww.warp10.io
Technical documentationdocs.databend.comprometheus.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwww.warp10.io/­content/­02_Getting_started
DeveloperDatabend LabsParadigma SoftwareSenX
Initial release2021201519992015
Current release1.0.59, April 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen 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.
Implementation languageRustGoJava
Server operating systemshosted
Linux
macOS
Linux
Windows
Linux
OS X
Windows
Linux
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.nono infoImport of XML data possibleno
Secondary indexesnonoyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP/JSON APIODBCHTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesyes infoWarpScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby Federationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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DatabendPrometheusValentina ServerWarp 10
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