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DBMS > Amazon Redshift vs. Impala vs. Oracle vs. Realm

System Properties Comparison Amazon Redshift vs. Impala vs. Oracle vs. Realm

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonImpala  Xexclude from comparisonOracle  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopWidely used RDBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.78
Rank#31  Overall
#19  Relational DBMS
Score15.07
Rank#36  Overall
#22  Relational DBMS
Score1336.07
Rank#1  Overall
#1  Relational DBMS
Score7.97
Rank#45  Overall
#8  Document stores
Websiteaws.amazon.com/­redshiftwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.oracle.com/­databaserealm.io
Technical documentationdocs.aws.amazon.com/­redshiftwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.oracle.com/­en/­databaserealm.io/­docs
DeveloperAmazon (based on PostgreSQL)ClouderaOracleRealm, acquired by MongoDB in May 2019
Initial release2012201319802014
Current release3.3.0, August 201919c, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source
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 languageCC++C and C++
Server operating systemshostedLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsyes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBCC
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reducePL/SQL infoalso stored procedures in Java possibleno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infowith the optional Oracle Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMaster-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Amazon RedshiftImpalaOracleRealm
Specific characteristicsOracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is a multi-model...
» more
Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesRealm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Typical application scenariosMobile Consumer Apps First-Line Worker Apps
» more
Key customersCathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsUsed by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsOracle Database Cloud Services Customers can choose from a wide range of database...
» more
Realm database is licensed under the Apache License v2.0.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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DBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
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Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
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DBHawk: a web-based Oracle database management and self-service BI software.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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More resources
Amazon RedshiftImpalaOracleRealm
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