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DBMS > Amazon DynamoDB vs. eXtremeDB vs. Memcached vs. Microsoft Azure Cosmos DB vs. Sequoiadb

System Properties Comparison Amazon DynamoDB vs. eXtremeDB vs. Memcached vs. Microsoft Azure Cosmos DB vs. Sequoiadb

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudNatively in-memory DBMS with options for persistency, high-availability and clusteringIn-memory key-value store, originally intended for cachingGlobally distributed, horizontally scalable, multi-model database serviceNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Key-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.mcobject.comwww.memcached.orgazure.microsoft.com/­services/­cosmos-dbwww.sequoiadb.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.mcobject.com/­docs/­extremedb.htmgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­azure/­cosmos-dbwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAmazonMcObjectDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftSequoiadb Ltd.
Initial release20122001200320142013
Current release8.2, 20211.6.27, May 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoBSD licensecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC++
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
hostedLinux
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infoJSON typesyes infooid, date, timestamp, binary, regex
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.no infosupport of XML interfaces availableno
Secondary indexesyesyesnoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnoSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Proprietary protocolDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSON
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesnoJavaScriptJavaScript
Triggersyes infoby integration with AWS Lambdayes infoby defining eventsnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
none infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnonono
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 regionACIDnoMulti-item ACID transactions with snapshot isolation within a partitionDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights can be defined down to the item levelsimple password-based access control
More information provided by the system vendor
Amazon DynamoDBeXtremeDBMemcachedMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSequoiadb
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
Amazon DynamoDBeXtremeDBMemcachedMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSequoiadb
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