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DBMS > GridDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. MySQL vs. PostgreSQL

System Properties Comparison GridDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. MySQL vs. PostgreSQL

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataGlobally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasetsWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Wide column storeRelational DBMS infoKey/Value like access via memcached APIRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMSDocument store
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitegriddb.netazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tableswww.mysql.comwww.postgresql.org
Technical documentationdocs.griddb.netlearn.microsoft.com/­azure/­cosmos-dbdev.mysql.com/­docwww.postgresql.org/­docs
DeveloperToshiba CorporationMicrosoftMicrosoftOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20132014201219951989 info1989: Postgres, 1996: PostgreSQL
Current release5.1, August 20228.4.0, April 202416.3, May 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
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Implementation languageC++C and C++C
Server operating systemsLinuxhostedhostedFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infoJSON typesyesyesyes
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.nonoyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes infoAll properties auto-indexed by defaultnoyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languagenoyes infowith proprietary extensionsyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C#
C++
Java
JavaScript (Node.js)
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoJavaScriptnoyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersyesJavaScriptnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageMySQLPostgreSQL
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» 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
GridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageMySQLPostgreSQL
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