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DBMS > DataFS vs. Pinecone vs. Prometheus vs. Quasardb

System Properties Comparison DataFS vs. Pinecone vs. Prometheus vs. Quasardb

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonPinecone  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A managed, cloud-native vector databaseOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelObject oriented DBMSVector DBMSTime Series DBMSTime Series DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitenewdatabase.comwww.pinecone.ioprometheus.ioquasar.ai
Technical documentationdev.mobiland.com/­Overview.xspdocs.pinecone.io/­docs/­overviewprometheus.io/­docsdoc.quasar.ai/­master
DeveloperMobiland AGPinecone Systems, Incquasardb
Initial release2018201920152009
Current release1.1.263, October 20223.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsWindowshostedLinux
Windows
BSD
Linux
OS X
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-free
Typing infopredefined data types such as float or dateyesString, Number, BooleanNumeric data onlyyes infointeger and binary
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.nonono infoImport of XML data possibleno
Secondary indexesnonoyes infowith tags
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIRESTful HTTP/JSON APIHTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
Python.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnono
Triggersno, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlWindows-ProfilenoCryptographically strong user authentication and audit trail

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DataFSPineconePrometheusQuasardb
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