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DBMS > TimescaleDB vs. TinkerGraph

System Properties Comparison TimescaleDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameTimescaleDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.72
Rank#89  Overall
#5  Time Series DBMS
Score0.18
Rank#292  Overall
#27  Graph DBMS
Websitewww.timescale.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.timescale.com
DeveloperTimescale
Initial release20172009
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or datenumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with hot standby and reads on replicas infonone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesno
Durability infoSupport for making data persistentyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
TimescaleDBTinkerGraph
Specific characteristicsTimescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosDevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
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Key customersTransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsWith over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsTimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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More resources
TimescaleDBTinkerGraph
Recent citations in the news

Understanding Hyperfunctions in TimescaleDB
11 August 2021, CDOTrends

Timescale grabs $40M Series B as it goes all in on cloud version of time series database
5 May 2021, TechCrunch

Timescale Launches Industry's First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale
29 October 2020, Business Wire

Timescale scales out and sets its sights on analytics
17 June 2021, ZDNet

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

provided by Google News

Gremlin, a Language for Working with Graphs
15 January 2010, InfoQ.com

provided by Google News

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