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DBMS > Amazon DocumentDB vs. BoltDB vs. Kinetica vs. mSQL

System Properties Comparison Amazon DocumentDB vs. BoltDB vs. Kinetica vs. mSQL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBoltDB  Xexclude from comparisonKinetica  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn embedded key-value store for Go.Fully vectorized database across both GPUs and CPUsmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­boltdb/­boltwww.kinetica.comhughestech.com.au/­products/­msql
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.kinetica.com
DeveloperKineticaHughes Technologies
Initial release2019201320121994
Current release7.1, August 20214.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++C
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
GoC++
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users and roles on table levelno

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More resources
Amazon DocumentDBBoltDBKineticamSQL infoMini SQL
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