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DBMS > Amazon DynamoDB vs. Amazon Redshift vs. Graphite vs. Oracle Berkeley DB

System Properties Comparison Amazon DynamoDB vs. Amazon Redshift vs. Graphite vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonGraphite  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudLarge scale data warehouse service for use with business intelligence toolsData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperWidely used in-process key-value store
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­redshiftgithub.com/­graphite-project/­graphite-webwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.aws.amazon.com/­redshiftgraphite.readthedocs.iodocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonAmazon (based on PostgreSQL)Chris DavisOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2012201220061994
Current release18.1.40, May 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCPythonC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedhostedLinux
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesrestrictednoyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
HTTP API
Sockets
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCJavaScript (Node.js)
Python
.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
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonnono
Triggersyes infoby integration with AWS Lambdanonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistencynone
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemnono
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 regionACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolocking
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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardnono

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More resources
Amazon DynamoDBAmazon RedshiftGraphiteOracle Berkeley DB
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