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DBMS > Amazon Aurora vs. Amazon SimpleDB vs. Oracle Berkeley DB vs. YottaDB

System Properties Comparison Amazon Aurora vs. Amazon SimpleDB vs. Oracle Berkeley DB vs. YottaDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreWidely used in-process key-value storeA fast and solid embedded Key-value store
Primary database modelRelational DBMSKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
Secondary database modelsDocument storeRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.88
Rank#133  Overall
#23  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­simpledbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlyottadb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­simpledbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlyottadb.com/­resources/­documentation
DeveloperAmazonAmazonOracle infooriginally developed by Sleepycat, which was acquired by OracleYottaDB, LLC
Initial release2015200719942001
Current release18.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemshostedhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Docker
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonono
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.yesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyes infoAll columns are indexed automaticallyyesno
SQL infoSupport of SQLyesnoyes infoSQL interfaced based on SQLite is availableby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Erlang
Java
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
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesnono
Triggersyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoSharding must be implemented in the applicationnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers and groups based on OS-security mechanisms

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More resources
Amazon AuroraAmazon SimpleDBOracle Berkeley DBYottaDB
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