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DBMS > Amazon DocumentDB vs. Google BigQuery vs. IBM Cloudant vs. MariaDB vs. TDengine

System Properties Comparison Amazon DocumentDB vs. Google BigQuery vs. IBM Cloudant vs. MariaDB vs. TDengine

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMariaDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceLarge scale data warehouse service with append-only tablesDatabase as a Service offering based on Apache CouchDBMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.Time Series DBMS and big data platform
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­documentdbcloud.google.com/­bigquerywww.ibm.com/­products/­cloudantmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­bigquery/­docscloud.ibm.com/­docs/­Cloudantmariadb.com/­kb/­en/­librarydocs.tdengine.com
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
TDEngine, previously Taos Data
Initial release2019201020102009 infoFork of MySQL, which was first released in 19952019
Current release11.3.2, February 20243.0, August 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC and C++C
Server operating systemshostedhostedhostedFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
Windows
Data schemeschema-freeyesschema-freeyes infoDynamic columns are supportedyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
JDBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptView functions (Map-Reduce) in JavaScriptyes infoPL/SQL compatibility added with version 10.3no
Triggersnonoyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingseveral options for horizontal partitioning and ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoSince BigQuery is designed for querying datano infoatomic operations within a document possibleACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infonot for in-memory storage engineyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infowith MEMORY storage engine
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)Access rights for users can be defined per databasefine grained access rights according to SQL-standardyes
More information provided by the system vendor
Amazon DocumentDBGoogle BigQueryIBM CloudantMariaDBTDengine
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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