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DBMS > Amazon DocumentDB vs. BigchainDB vs. GridGain vs. MonetDB

System Properties Comparison Amazon DocumentDB vs. BigchainDB vs. GridGain vs. MonetDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonGridGain  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGridGain is an in-memory computing platform, built on Apache IgniteA relational database management system that stores data in columns
Primary database modelDocument storeDocument storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.79
Rank#212  Overall
#36  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.bigchaindb.comwww.gridgain.comwww.monetdb.org
Technical documentationaws.amazon.com/­documentdb/­resourcesbigchaindb.readthedocs.io/­en/­latestwww.gridgain.com/­docs/­index.htmlwww.monetdb.org/­Documentation
DeveloperGridGain Systems, Inc.MonetDB BV
Initial release2019201620072004
Current releaseGridGain 8.5.1Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoMozilla Public License 2.0
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 languagePythonJava, C++, .NetC
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, R
Triggersnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factoryes (replicated cache)none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesyesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBBigchainDBGridGainMonetDB
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