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DBMS > Amazon SimpleDB vs. Couchbase vs. Databricks

System Properties Comparison Amazon SimpleDB vs. Couchbase vs. Databricks

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.
Primary database modelKey-value storeDocument storeDocument store
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score16.59
Rank#36  Overall
#5  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.couchbase.comwww.databricks.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.couchbase.comdocs.databricks.com
DeveloperAmazonCouchbase, Inc.Databricks
Initial release200720112013
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, Go and Erlang
Server operating systemshostedLinux
OS X
Windows
hosted
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyes
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
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnoSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use caseswith Databricks SQL
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
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
Python
R
Scala
Server-side scripts infoStored proceduresnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++user defined functions and aggregates
Triggersnoyes infovia the TAP protocol
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoincluding cross data center replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
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 Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID
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.yes infoEphemeral bucketsno
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.
More information provided by the system vendor
Amazon SimpleDBCouchbase infoOriginally called MembaseDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon SimpleDBCouchbase infoOriginally called MembaseDatabricks
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Recent citations in the news

A Place for Everything – Amazon SimpleDB
14 December 2007, AWS Blog

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed ...
12 November 2013, TechCrunch

Amazon SimpleDB Management in Eclipse
22 July 2009, AWS Blog

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25 March 2009, All Things Distributed

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