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DBMS > InfluxDB vs. Kinetica vs. NSDb vs. TypeDB

System Properties Comparison InfluxDB vs. Kinetica vs. NSDb vs. TypeDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.kinetica.comnsdb.iotypedb.com
Technical documentationdocs.influxdata.com/­influxdbdocs.kinetica.comnsdb.io/­Architecturetypedb.com/­docs
DeveloperKineticaVaticle
Initial release2013201220172016
Current release2.7.6, April 20247.1, August 20212.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++Java, ScalaJava
Server operating systemsLinux
OS X infothrough Homebrew
LinuxLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes: int, bigint, decimal, stringyes
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.nononono
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
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
Java
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
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 RAMno
User concepts infoAccess controlsimple rights management via user accountsAccess rights for users and roles on table levelyes infoat REST API level; other APIs in progress
More information provided by the system vendor
InfluxDBKineticaNSDbTypeDB infoformerly named Grakn
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
InfluxDBKineticaNSDbTypeDB infoformerly named Grakn
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

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14 March 2024, Business Wire

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
5 April 2024, VentureBeat

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Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

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An Enterprise Data Stack Using TypeDB | by Daniel Crowe
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Speedb Goes Open Source With Its Speedb Data Engine, A Drop-in Replacement for RocksDB
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Modelling Biomedical Data for a Drug Discovery Knowledge Graph
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