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DBMS > Prometheus vs. Tarantool vs. Warp 10

System Properties Comparison Prometheus vs. Tarantool vs. Warp 10

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Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonTarantool  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source TimeSeries DBMS and monitoring systemIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.62
Rank#66  Overall
#3  Time Series DBMS
Score1.53
Rank#144  Overall
#27  Key-value stores
Score0.18
Rank#293  Overall
#25  Time Series DBMS
Websiteprometheus.iowww.tarantool.iowww.warp10.io
Technical documentationprometheus.io/­docswww.tarantool.io/­en/­docwww.warp10.io/­content/­02_Getting_started
DeveloperVKSenX
Initial release201520082015
Current release2.4.2, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++Java
Server operating systemsLinux
Windows
BSD
Linux
macOS
Linux
OS X
Windows
Data schemeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateNumeric data onlystring, double, decimal, uuid, integer, blob, booleanyes
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 indexesnoyesno
SQL infoSupport of SQLnoFull-featured ANSI SQL supportno
APIs and other access methodsRESTful HTTP/JSON APIOpen binary protocolHTTP API
Jupyter
WebSocket
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoLua, C and SQL stored proceduresyes infoWarpScript
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingHash sharding based on virtual bucketsSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes, with SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyes, regular snapshots on disk, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlnoAccess rights for users and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
PrometheusTarantoolWarp 10
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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