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DBMS > Amazon SimpleDB vs. ClickHouse vs. Kinetica vs. MongoDB vs. Riak KV

System Properties Comparison Amazon SimpleDB vs. ClickHouse vs. Kinetica vs. MongoDB vs. Riak KV

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonClickHouse  Xexclude from comparisonKinetica  Xexclude from comparisonMongoDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreColumn-oriented Relational DBMS powering YandexFully vectorized database across both GPUs and CPUsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureDistributed, fault tolerant key-value store
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.18
Rank#117  Overall
#22  Key-value stores
Score10.63
Rank#45  Overall
#29  Relational DBMS
Score0.73
Rank#205  Overall
#101  Relational DBMS
Score496.50
Rank#5  Overall
#1  Document stores
Score5.59
Rank#66  Overall
#8  Key-value stores
Websiteaws.amazon.com/­simpledbclickhouse.techwww.kinetica.comwww.mongodb.comriak.com/­products/­riak-kv
Technical documentationdocs.aws.amazon.com/­simpledbclickhouse.tech/­docswww.kinetica.com/­docsdocs.mongodb.com/­manual
DeveloperAmazonYandex LLCKineticaMongoDB, IncBasho Technologies
Initial release20072016201220092009
Current releasev20.11.3.3-stable, November 20207.1, August 20215.0, July 20212.1.0, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen 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, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono 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: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC++C, C++C++Erlang
Server operating systemshostedFreeBSD
Linux
macOS
LinuxLinux
OS X
Solaris
Windows
Linux
OS X
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.schema-free
Typing infopredefined data types such as float or datenoyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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 indexesyes infoAll columns are indexed automaticallynoyesyesrestricted
SQL infoSupport of SQLnoClose to ANSI SQLSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsRESTful HTTP APIHTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONHTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
C++
Java
JavaScript (Node.js)
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonouser defined functionsJavaScriptJavaScript and Erlang
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoin MongoDB Atlas onlyyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynonoyesno infotypically not used, however similar functionality with DBRef possibleno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesAccess rights for users and roles on table levelAccess rights for users and rolesno
More information provided by the system vendor
Amazon SimpleDBClickHouseKineticaMongoDBRiak KV
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
MongoDB database server: Server-Side Public License (SSPL) . 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.

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More resources
Amazon SimpleDBClickHouseKineticaMongoDBRiak KV
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