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DBMS > Amazon SimpleDB vs. Dgraph vs. Ehcache vs. Google Cloud Spanner vs. MarkLogic

System Properties Comparison Amazon SimpleDB vs. Dgraph vs. Ehcache vs. Google Cloud Spanner vs. MarkLogic

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDgraph  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMarkLogic  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 ScioreDistributed and scalable native Graph DBMSA widely adopted Java cache with tiered storage optionsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Operational and transactional Enterprise NoSQL database
Primary database modelKey-value storeGraph DBMSKey-value storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websiteaws.amazon.com/­simpledbdgraph.iowww.ehcache.orgcloud.google.com/­spannerwww.marklogic.com
Technical documentationdocs.aws.amazon.com/­simpledbdgraph.io/­docswww.ehcache.org/­documentationcloud.google.com/­spanner/­docsdocs.marklogic.com
DeveloperAmazonDgraph Labs, Inc.Terracotta Inc, owned by Software AGGoogleMarkLogic Corp.
Initial release20072016200920172001
Current release3.10.0, March 202211.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercial inforestricted free version is available
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 languageGoJavaC++
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyes
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyesyes
SQL infoSupport of SQLnononoyes infoQuery statements complying to ANSI 2011yes infoSQL92
APIs and other access methodsRESTful HTTP APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCachegRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononoyes infovia XQuery or JavaScript
Triggersnonoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyesSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via Raftyes infoby using Terracotta ServerMulti-source replication with 3 replicas for regional instances.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDyes infosupports JTA and can work as an XA resourceACID infoStrict serializable isolationACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoPlanned for future releasesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control at the document and subdocument levels

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More resources
Amazon SimpleDBDgraphEhcacheGoogle Cloud SpannerMarkLogic
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