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DBMS > IBM Db2 Event Store vs. InfluxDB vs. Kingbase vs. NSDb

System Properties Comparison IBM Db2 Event Store vs. InfluxDB vs. Kingbase vs. NSDb

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInfluxDB  Xexclude from comparisonKingbase  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesDBMS for storing time series, events and metricsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelEvent Store
Time Series DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.influxdata.com/­products/­influxdb-overviewwww.kingbase.com.cnnsdb.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.influxdata.com/­influxdbnsdb.io/­Architecture
DeveloperIBMBeiJing KINGBASE Information technologies inc.
Initial release2017201319992017
Current release2.02.7.6, April 2024V8.0, August 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++GoC and JavaJava, Scala
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X infothrough Homebrew
Linux
Windows
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes: int, bigint, decimal, string
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 indexesnonoyesall fields are automatically indexed
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query languageStandard with numerous extensionsSQL-like query language
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
gRPC
HTTP REST
WebSocket
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Scala
Server-side scripts infoStored proceduresyesnouser defined functionsno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyhorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationselectable replication factor infoin enterprise version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engine
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
IBM Db2 Event StoreInfluxDBKingbaseNSDb
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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More resources
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