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DBMS > Amazon Redshift vs. BigObject vs. Cachelot.io vs. Datomic vs. RethinkDB

System Properties Comparison Amazon Redshift vs. BigObject vs. Cachelot.io vs. Datomic vs. RethinkDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonDatomic  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for real-time computations and queriesIn-memory caching systemDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websiteaws.amazon.com/­redshiftbigobject.iocachelot.iowww.datomic.comrethinkdb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.bigobject.iodocs.datomic.comrethinkdb.com/­docs
DeveloperAmazon (based on PostgreSQL)BigObject, Inc.CognitectThe Linux Foundation infosince July 2017
Initial release20122015201520122009
Current release1.0.6735, June 20232.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoSimplified BSD Licensecommercial infolimited edition freeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Java, ClojureC++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
All OS with a Java VMLinux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes 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.nonononono
Secondary indexesrestrictedyesnoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
Memcached protocolRESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Clojure
Java
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 PythonLuanoyes infoTransaction Functions
TriggersnononoBy using transaction functionsClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone infoBut extensive use of caching in the application peersSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynonenoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesnoyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes inforecommended only for testing and developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardnononoyes infousers and table-level permissions

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More resources
Amazon RedshiftBigObjectCachelot.ioDatomicRethinkDB
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