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

DBMS > BoltDB vs. Drizzle vs. Kinetica vs. MongoDB vs. OmniSci

System Properties Comparison BoltDB vs. Drizzle vs. Kinetica vs. MongoDB vs. OmniSci

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonMongoDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GPU-accelerated database for real-time analysis of large and streaming datasetsOne of the most popular document storesA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#193  Overall
#32  Key-value stores
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score412.09
Rank#5  Overall
#1  Document stores
Score2.08
Rank#105  Overall
#52  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.kinetica.comwww.mongodb.comwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.mongodb.com/­manualwww.omnisci.com/­docs/­latest
DeveloperDrizzle project, originally started by Brian AkerKineticaMongoDB, IncMapD Technologies, Inc.
Initial release20132008201220092016
Current release7.2.4, September 20126.04.0.10, May 2019V4
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercialOpen 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 Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono 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 in minutes.
Implementation languageGoC++C, C++C++C++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesschema-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 datenoyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.nonono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
proprietary protocol using JSONThrift
JDBC
ODBC
Supported programming languagesGoC
C++
Java
PHP
C++
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 infoinofficial driver
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
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonouser defined functionsJavaScriptno
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
Master-slave replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess 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
BoltDBDrizzleKineticaMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsMongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesBy offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosInternet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
» more
Market metrics40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» more
Licensing and pricing modelsMongoDB database server: Free Software Foundation's GNU AGPL v3.0. Commercial licenses...
» 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 partiesKnowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
» more

ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
» more

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

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

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

CData: Connect to Big Data & NoSQL through standard Drivers.
» 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
BoltDBDrizzleKineticaMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

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

Automate easier and build pipelines in Gaia
12 July 2018, JAXenter

Gartner Names Demisto 'Cool Vendor' in Security Ops & Vulnerability Mgt
15 May 2018, 107.180.56.147

New reports unveils more details about Key-Value Stores Market by 2025 with Top Key Players like PulteHomes, Horton, Lennar, Evergrande, Vanke, Country Garden, Poly, SUNAC, LongFor, Greenland, R&F, CFLD, CR Land, Green Town, Agile and Goodman
9 September 2019, Indian Columnist

provided by Google News

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

Global GPU Database Market Explored In Latest Research | Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia
13 October 2019, 12 Minute Book

Applying Active Analytics To Dynamic Replenishment
10 October 2019, Forbes

Emerging Growth on GPU Database Market 2019-2026: Leading Companies like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
26 September 2019, Market Research Scoop

Kinetica’s Active Analytics Platform is Powered by Oracle Cloud and Available in the Oracle Cloud Marketplace
8 October 2019, Yahoo Finance

provided by Google News

MongoDB: Not A Buy Yet
10 October 2019, Seeking Alpha

JetBrains blows hot for MongoDB in latest IntelliJ build
10 October 2019, DevClass

MongoDB Management Talks Growth Drivers, Operating Margin, and More
18 September 2019, The Motley Fool

Licence to grill: A year on, MongoDB's Eliot Horowitz talks to The Reg about SSPL
7 October 2019, The Register

MongoDB cloud chief explains the value add that Atlas brings for modern data companies
26 September 2019, Diginomica

provided by Google News

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2025 | Kinetica, Omnisci, Sqream
27 September 2019, Wheel Chronicle

Huge Demands for New Opportunities on Graphics Processing Unit Database Market 2028 Forecasts and Analysis with Top Key Players like – Zilliz, Brytlyt, Jedox AG, OmniSci
7 October 2019, Sound On Sound Fest

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Emerging Growth on GPU Database Market 2019-2026: Leading Companies like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
26 September 2019, Market Research Scoop

provided by Google News

Job opportunities

Machine Learning Engineer
BAIN & COMPANY, Los Angeles, CA

Sr. Software Engineer (Computer Vision/Data Visualization)
Kinetica DB, Arlington, VA

Full Stack Developer (with React & Networking)
Acestack LLC, Santa Clara, CA

Database Administrator
Computer Programs & Systems, Inc, Mobile, AL

Database Administrator
Honolulu Academy of Arts, Honolulu, HI

Entry-Level Full Stack Developer
IBM, San Jose, CA

Full Stack Java Developer
Medfusion Inc, Cary, NC

Senior Database Engineer
OmniSci, San Francisco, CA

Software Engineer - Backend Team
OmniSci, San Francisco, CA

Application Support Engineer (Eastern US)
OmniSci, Remote

Senior Compiler Engineer
OmniSci, San Francisco, CA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

jobs by Indeed




Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

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

Couchbase logo

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

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Present your product here