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DBMS > Amazon DocumentDB vs. FeatureBase vs. Google BigQuery vs. MySQL

System Properties Comparison Amazon DocumentDB vs. FeatureBase vs. Google BigQuery vs. MySQL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Large scale data warehouse service with append-only tablesWidely used open source RDBMS
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.featurebase.comcloud.google.com/­bigquerywww.mysql.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.featurebase.comcloud.google.com/­bigquery/­docsdev.mysql.com/­doc
DeveloperMolecula and Pilosa Open Source ContributorsGoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release2019201720101995
Current release2022, May 20228.4.0, April 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageGoC and C++
Server operating systemshostedLinux
macOS
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLnoSQL queriesyesyes infowith proprietary extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesno infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept infono user groups or roles

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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More resources
Amazon DocumentDBFeatureBaseGoogle BigQueryMySQL
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