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DBMS > Amazon Redshift vs. Datomic vs. Oracle Berkeley DB vs. RethinkDB

System Properties Comparison Amazon Redshift vs. Datomic vs. Oracle Berkeley DB vs. RethinkDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWidely used in-process key-value storeDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.86
Rank#33  Overall
#19  Relational DBMS
Score1.86
Rank#124  Overall
#61  Relational DBMS
Score2.78
Rank#100  Overall
#19  Key-value stores
#3  Native XML DBMS
Score3.19
Rank#94  Overall
#17  Document stores
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlrethinkdb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrethinkdb.com/­docs
DeveloperAmazon (based on PostgreSQL)CognitectOracle infooriginally developed by Sleepycat, which was acquired by OracleThe Linux Foundation infosince July 2017
Initial release2012201219942009
Current release0.9.5951, July 201918.1.40, May 20202.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infocommercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infostring, binary, float, bool, date, geometry
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 editionno
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
.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 infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsno
TriggersnoBy using transaction functionsyes infoonly for the SQL APIClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersnoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes infousers and table-level permissions

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More resources
Amazon RedshiftDatomicOracle Berkeley DBRethinkDB
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