DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Kinetica vs. MongoDB vs. TimescaleDB

System Properties Comparison Kinetica vs. MongoDB vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMongoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSDocument storeTime Series DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#193  Overall
#93  Relational DBMS
Score421.12
Rank#5  Overall
#1  Document stores
Score1.79
Rank#117  Overall
#8  Time Series DBMS
Websitewww.kinetica.comwww.mongodb.comwww.timescale.com
Technical documentationwww.kinetica.com/­docsdocs.mongodb.com/­manualdocs.timescale.com
DeveloperKineticaMongoDB, IncTimescale
Initial release201220092017
Current release6.04.2, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC, C++C++C
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Connector for BIyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
KineticaMongoDBTimescaleDB
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
1.8 million+ downloads, 7,500+ Github stars
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Apache 2 and Timescale License (TSL); Product matrix here ; information on pricing...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
KineticaMongoDBTimescaleDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL moves up one rank at the expense of MongoDB
1 September 2016, Paul Andlinger

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

Kinetica Active Analytics Platform Incorporates NVIDIA RAPIDS for Predictive Analytics
13 November 2019, Database Trends and Applications

The Kinetica Active Analytics Platform and RAPIDS Now Available on Oracle Cloud Infrastructure to Accelerate Predictive Data Analytics Performance
19 November 2019, Yahoo Finance

White paper: Inside Kinetica
6 December 2019, ITWeb

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
16 November 2019, News Hours Today

provided by Google News

MongoDB tops third quarter expectations
9 December 2019, ZDNet

MongoDB stock rallies as results, outlook top Street view
9 December 2019, MarketWatch

MongoDB Earnings, Revenue Beat Estimates, Stock Climbs
9 December 2019, Investor's Business Daily

MongoDB (MDB) Reports Q3 Loss, Tops Revenue Estimates
9 December 2019, Nasdaq

MongoDB EPS beats by $0.02, beats on revenue
9 December 2019, Seeking Alpha

provided by Google News

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

The First Complete Life-Cycle Database Management Solution for TimescaleDB
16 April 2019, PRNewswire

provided by Google News

Job opportunities

Principal Solutions Engineer (Federal)
Kinetica DB, Arlington, VA

Machine Learning Engineer
BAIN & COMPANY, Los Angeles, CA

Senior Data Engineer
General Dynamics Information Technology, Falls Church, VA

BI Data Analytics SME
Oasys Inc., Huntsville, AL

MySQL Database Engineer - Americas - remote
Percona, Remote

Full-Stack Developer
ThirstySprout, Remote

Full Stack Web Developer
COLSA, Huntsville, AL

Mid Level Full Stack Developer with Top Secret
OneGlobe LLC, Washington, DC

Full Stack Developer
IBM, Research Triangle Park, NC

Full-Stack Software Engineering Lead
National Oilwell Varco, Houston, TX

Principal Engineer - Data Pipeline
Tagup Inc., Somerville, MA

Data Engineer, Energy Platform
Shell, Houston, TX

Engineering Intern
ST Engineering iDirect, Herndon, VA

Systems Reliability Engineer
PacketFabric, Culver City, CA

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Present your product here