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DBMS > InfluxDB vs. Kinetica vs. Oracle Berkeley DB vs. TinkerGraph

System Properties Comparison InfluxDB vs. Kinetica vs. Oracle Berkeley DB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUsWidely used in-process key-value storeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score2.80
Rank#112  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.13
Rank#347  Overall
#33  Graph DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.kinetica.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.influxdata.com/­influxdbdocs.kinetica.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperKineticaOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2013201219942009
Current release2.7.5, January 20247.1, August 202118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infocommercial license availableOpen 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 languageGoC, C++C, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsLinux
OS X infothrough Homebrew
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesnoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
TinkerPop 3
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Groovy
Java
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesno
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.yes infoDepending on used storage engineyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlsimple rights management via user accountsAccess rights for users and roles on table levelnono
More information provided by the system vendor
InfluxDBKineticaOracle Berkeley DBTinkerGraph
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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