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DBMS > Prometheus vs. Tarantool vs. Titan

System Properties Comparison Prometheus vs. Tarantool vs. Titan

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Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonTarantool  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionOpen-source TimeSeries DBMS and monitoring systemIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSKey-value storeGraph 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
Websiteprometheus.iowww.tarantool.iotitan.thinkaurelius.com
Technical documentationprometheus.io/­docswww.tarantool.io/­en/­docgithub.com/­thinkaurelius/­titan/­wiki
DeveloperVKAurelius, owned by DataStax
Initial release201520082012
Current release2.4.2, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache license, version 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
Unix
Windows
Data schemeyesschema-free, schema definition possibleyes
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 possibleno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoFull-featured ANSI SQL supportno
APIs and other access methodsRESTful HTTP/JSON APIOpen binary protocolJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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
Clojure
Java
Python
Server-side scripts infoStored proceduresnoLua, C and SQL stored proceduresyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingHash sharding based on virtual bucketsyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes, with SQLyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyes, regular snapshots on disk, write ahead loggingyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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 persistence
User concepts infoAccess controlnoAccess rights for users and rolesUser authentification and security via Rexster Graph Server

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More resources
PrometheusTarantoolTitan
DB-Engines blog posts

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

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Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

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Recent citations in the news

Consider Grafana vs. Prometheus for your time-series tools
18 October 2021, TechTarget

Time Series Databases Software Market Size, Scope, Growth Opportunities, Trends by Manufacturers And Forecast to 2029 – Shanghaiist
8 August 2022, Shanghaiist

My Prometheus is Overwhelmed! Help!
24 July 2021, hackernoon.com

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13 April 2016, Opensource.com

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Graph Database Market Trends, Size, Share, Growth, Industry Analysis, Advance Technology and Forecast 202
29 July 2022, Benzinga

Beyond Titan: The Evolution of DataStax's New Graph Database
21 June 2016, Datanami

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3 February 2015, VentureBeat

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16 July 2020, eWeek

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22 January 2018, ZDNet

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