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DBMS > Amazon DynamoDB vs. Couchbase vs. Greenplum vs. Oracle Berkeley DB vs. Trafodion

System Properties Comparison Amazon DynamoDB vs. Couchbase vs. Greenplum vs. Oracle Berkeley DB vs. Trafodion

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonGreenplum  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Widely used in-process key-value storeTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Key-value store
Document storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score16.59
Rank#36  Overall
#5  Document stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­dynamodbwww.couchbase.comgreenplum.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmltrafodion.apache.org
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.couchbase.comdocs.greenplum.orgdocs.oracle.com/­cd/­E17076_05/­html/­index.htmltrafodion.apache.org/­documentation.html
DeveloperAmazonCouchbase, Inc.Pivotal Software Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software Foundation, originally developed by HP
Initial release20122011200519942014
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20237.0.0, September 202318.1.40, May 20202.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoApache 2.0Open Source infocommercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, Go and ErlangC, Java, C++ (depending on the Berkeley DB edition)C++, Java
Server operating systemshostedLinux
OS X
Windows
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yes infosince Version 4.2yes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesyesyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsRESTful HTTP APICLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C
Java
Perl
Python
R
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++yesnoJava Stored Procedures
Triggersyes infoby integration with AWS Lambdayes infovia the TAP protocolyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic ShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoincluding cross data center replication
Source-replica replication
Source-replica replicationSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
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 regionACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infoEphemeral bucketsnoyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.fine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBCouchbase infoOriginally called MembaseGreenplumOracle Berkeley DBTrafodion
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