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DBMS > Amazon DynamoDB vs. BigchainDB vs. MonetDB vs. Oracle Coherence

System Properties Comparison Amazon DynamoDB vs. BigchainDB vs. MonetDB vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA relational database management system that stores data in columnsOracles in-memory data grid solution
Primary database modelDocument store
Key-value store
Document storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.76
Rank#216  Overall
#36  Document stores
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score1.90
Rank#127  Overall
#21  Key-value stores
Websiteaws.amazon.com/­dynamodbwww.bigchaindb.comwww.monetdb.orgwww.oracle.com/­java/­coherence
Technical documentationdocs.aws.amazon.com/­dynamodbbigchaindb.readthedocs.io/­en/­latestwww.monetdb.org/­Documentationdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperAmazonMonetDB BVOracle
Initial release2012201620042007
Current releaseDec2023 (11.49), December 202314.1, August 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoAGPL v3Open Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonCJava
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeyesschema-free
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLnonoyes infoSQL 2003 with some extensionsno
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JCache
JPA
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Haskell
Java
JavaScript
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresnoyes, in SQL, C, Rno
Triggersyes infoby integration with AWS Lambdayesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone infoSource-replica replication available in experimental statusyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infooptionally
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 roles can be defined via the AWS Identity and Access Management (IAM)yesfine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authentication

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More resources
Amazon DynamoDBBigchainDBMonetDBOracle Coherence
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