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DBMS > DataFS vs. GreptimeDB vs. Kdb vs. TinkerGraph

System Properties Comparison DataFS vs. GreptimeDB vs. Kdb vs. TinkerGraph

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKdb  Xexclude from comparisonTinkerGraph  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.An open source Time Series DBMS built for increased scalability, high performance and efficiencyHigh performance Time Series DBMSA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Graph DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitenewdatabase.comgreptime.comkx.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdev.mobiland.com/­Overview.xspdocs.greptime.comcode.kx.com
DeveloperMobiland AGGreptime Inc.Kx Systems, a division of First Derivatives plc
Initial release201820222000 infokdb was released 2000, kdb+ in 20032009
Current release1.1.263, October 20223.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree 32-bit versionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustqJava
Server operating systemsWindowsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesnoyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLnoyesSQL-like query language (q)no
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC
HTTP API
JDBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Groovy
Java
Server-side scripts infoStored proceduresPythonuser defined functionsno
Triggersno, except callback-events from server when changes happenedyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlWindows-ProfileSimple rights management via user accountsrights management via user accountsno
More information provided by the system vendor
DataFSGreptimeDBKdbTinkerGraph
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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tick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
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kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
upon request
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DataFSGreptimeDBKdbTinkerGraph
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