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DBMS > Bangdb vs. InfluxDB vs. Kinetica vs. Microsoft Azure SQL Database

System Properties Comparison Bangdb vs. InfluxDB vs. Kinetica vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUsDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitebangdb.comwww.influxdata.com/­products/­influxdb-overviewwww.kinetica.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.bangdb.comdocs.influxdata.com/­influxdbdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperSachin Sinha, BangDBKineticaMicrosoft
Initial release2012201320122010
Current releaseBangDB 2.0, October 20212.7.6, April 20247.1, August 2021V12
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT-License; commercial enterprise version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++GoC, C++C++
Server operating systemsLinuxLinux
OS X infothrough Homebrew
Linuxhosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsNumeric data and Stringsyesyes
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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
.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
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsTransact SQL
Triggersyes, Notifications (with Streaming only)noyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infoin enterprise version onlySource-replica replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes infoDepending on used storage engineyes infoGPU vRAM or System RAM
User concepts infoAccess controlyes (enterprise version only)simple rights management via user accountsAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbInfluxDBKineticaMicrosoft Azure SQL Database infoformerly SQL Azure
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BangdbInfluxDBKineticaMicrosoft Azure SQL Database infoformerly SQL Azure
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