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DBMS > Amazon DocumentDB vs. Blueflood vs. GridDB vs. Tibero

System Properties Comparison Amazon DocumentDB vs. Blueflood vs. GridDB vs. Tibero

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBlueflood  Xexclude from comparisonGridDB  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable TimeSeries DBMS based on CassandraScalable in-memory time series database optimized for IoT and Big DataA secure RDBMS, designed for easy portability from Oracle
Primary database modelDocument storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websiteaws.amazon.com/­documentdbblueflood.iogriddb.netus.tmaxsoft.com/­products/­tibero
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­rax-maas/­blueflood/­wikidocs.griddb.nettechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperRackspaceToshiba CorporationTmaxSoft
Initial release2019201320132003
Current release5.1, August 20226, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
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 languageJavaC++C and Assembler
Server operating systemshostedLinux
OS X
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnononoPersistent Stored Procedure (PSM)
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on CassandraSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesno infoplanned for next version
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users can be defined per databasefine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
Amazon DocumentDBBluefloodGridDBTibero
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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More resources
Amazon DocumentDBBluefloodGridDBTibero
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