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DBMS > Amazon SimpleDB vs. Memgraph vs. Oracle Berkeley DB vs. Realm vs. STSdb

System Properties Comparison Amazon SimpleDB vs. Memgraph vs. Oracle Berkeley DB vs. Realm vs. STSdb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonMemgraph  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRealm  Xexclude from comparisonSTSdb  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 ScioreAn open source graph database built for real-time streaming and compatible with Neo4jWidely used in-process key-value storeA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#145  Overall
#24  Key-value stores
Score3.09
Rank#105  Overall
#7  Graph DBMS
Score2.80
Rank#112  Overall
#20  Key-value stores
#3  Native XML DBMS
Score7.70
Rank#52  Overall
#9  Document stores
Score0.13
Rank#344  Overall
#51  Key-value stores
Websiteaws.amazon.com/­simpledbmemgraph.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrealm.iogithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­simpledbmemgraph.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrealm.io/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAmazonMemgraph LtdOracle infooriginally developed by Sleepycat, which was acquired by OracleRealm, acquired by MongoDB in May 2019STS Soft SC
Initial release20072017199420142011
Current release18.1.40, May 20204.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infoFree license availableOpen Source infocommercial license availableOpen SourceOpen Source infoGPLv2, commercial license available
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 and C++C, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemshostedLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
Windows
Data schemeschema-freeschema-free and schema-optionalschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes infoprimitive types and user defined types (classes)
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyes infoAll columns are indexed automaticallyyesyesno
SQL infoSupport of SQLnonoyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsRESTful HTTP APIBolt protocol
Cypher query language
.NET Client API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.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
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
Java
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyes infoonly for the SQL APIyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infodynamic graph partitioningnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACID infowith snapshot isolationACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users, roles and permissionsnoyesno
More information provided by the system vendor
Amazon SimpleDBMemgraphOracle Berkeley DBRealmSTSdb
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon SimpleDBMemgraphOracle Berkeley DBRealmSTSdb
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