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DBMS > IBM Db2 vs. InfluxDB vs. Microsoft Azure Data Explorer vs. NSDb vs. PouchDB

System Properties Comparison IBM Db2 vs. InfluxDB vs. Microsoft Azure Data Explorer vs. NSDb vs. PouchDB

Editorial information provided by DB-Engines
NameIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonNSDb  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionCommon in IBM host environments, 2 different versions for host and Windows/LinuxDBMS for storing time series, events and metricsFully managed big data interactive analytics platformScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBTime Series DBMSRelational DBMS infocolumn orientedTime Series DBMSDocument store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS infowith GEO packageDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.ibm.com/­products/­db2www.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­data-explorernsdb.iopouchdb.com
Technical documentationwww.ibm.com/­docs/­en/­db2docs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­data-explorernsdb.io/­Architecturepouchdb.com/­guides
DeveloperIBMMicrosoftApache Software Foundation
Initial release1983 infohost version2013201920172012
Current release12.1, October 20162.7.6, April 2024cloud service with continuous releases7.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree version is availableOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++GoJava, ScalaJavaScript
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X infothrough Homebrew
hostedLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeFixed schema with schema-less datatypes (dynamic)schema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes: int, bigint, decimal, stringno
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.noyesnono
Secondary indexesyesnoall fields are automatically indexedall fields are automatically indexedyes infovia views
SQL infoSupport of SQLyesSQL-like query languageKusto Query Language (KQL), SQL subsetSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP API
JSON over UDP
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
HTTP REST
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyesnoYes, possible languages: KQL, Python, RnoView functions in JavaScript
Triggersyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)selectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsAzure Active Directory Authenticationno
More information provided by the system vendor
IBM Db2 infoformerly named DB2 or IBM Database 2InfluxDBMicrosoft Azure Data ExplorerNSDbPouchDB
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
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