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DBMS > GridDB vs. Microsoft Azure Cosmos DB vs. SpaceTime

System Properties Comparison GridDB vs. Microsoft Azure Cosmos DB vs. SpaceTime

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataGlobally distributed, horizontally scalable, multi-model database serviceSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Spatial DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.23
Rank#159  Overall
#11  Time Series DBMS
Score40.22
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#354  Overall
#5  Spatial DBMS
Websitegriddb.netazure.microsoft.com/­services/­cosmos-dbwww.mireo.hr/­spacetime
Technical documentationdocs.griddb.netdocs.microsoft.com/­azure/­cosmos-db
DeveloperToshiba CorporationMicrosoftMireo
Initial release201320142020
Current release4.6, February 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinuxhostedLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infoJSON typesyes
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.nono
Secondary indexesyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageA subset of ANSI SQL is implemented
APIs and other access methodsProprietary protocolDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
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
C#
C++
Python
Server-side scripts infoStored proceduresnoJavaScriptno
TriggersyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceReal-time block device replication (DRBD)
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*no
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 Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelyes
More information provided by the system vendor
GridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSpaceTime
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
GridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSpaceTime
Recent citations in the news

Microsoft Announces Intelligent Data Platform For Database Integration
24 May 2022, TechDecisions

An Introduction and Tutorial for Azure Cosmos DB
25 February 2022, InfoQ.com

Microsoft fixes cross-account vulns in Azure Database for PostgreSQL service
28 April 2022, The Register

NoSQL Software Market Is Likely to Experience a Tremendous Growth in Near Future | MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase – Carbon Valley Farmer and Miner
25 May 2022, Carbon Valley Farmer and Miner

Researchers discover critical flaw in Azure Cosmos DB
27 August 2021, TechTarget

provided by Google News

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