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DBMS > Prometheus vs. Quasardb vs. TimesTen

System Properties Comparison Prometheus vs. Quasardb vs. TimesTen

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Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.33
Rank#51  Overall
#3  Time Series DBMS
Score0.10
Rank#341  Overall
#29  Time Series DBMS
Score1.26
Rank#164  Overall
#76  Relational DBMS
Websiteprometheus.ioquasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationprometheus.io/­docsdoc.quasar.ai/­masterdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperquasardbOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201520091998
Current release3.14.1, January 2024Release 22.1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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++
Server operating systemsLinux
Windows
BSD
Linux
OS X
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateNumeric data onlyyes infointeger and binaryyes
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 indexesnoyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsRESTful HTTP/JSON APIHTTP APIODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnonoPL/SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
PrometheusQuasardbTimesTen
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