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DBMS > Amazon Redshift vs. Apache Impala vs. Hive vs. Oracle vs. RocksDB

System Properties Comparison Amazon Redshift vs. Apache Impala vs. Hive vs. Oracle vs. RocksDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonHive  Xexclude from comparisonOracle  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for Hadoopdata warehouse software for querying and managing large distributed datasets, built on HadoopWidely used RDBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score1234.27
Rank#1  Overall
#1  Relational DBMS
Score4.00
Rank#84  Overall
#11  Key-value stores
Websiteaws.amazon.com/­redshiftimpala.apache.orghive.apache.orgwww.oracle.com/­databaserocksdb.org
Technical documentationdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­en/­databasegithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoinitially developed by FacebookOracleFacebook, Inc.
Initial release20122013201219802013
Current release4.1.0, June 20223.1.3, April 202223c, September 20238.11.4, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++JavaC and C++C++
Server operating systemshostedLinuxAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Data schemeyesyesyesyes infoSchemaless in JSON and XML columnsschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesrestrictedyesyesyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBCC++
Java
PHP
Python
C
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
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reduceyes infouser defined functions and integration of map-reducePL/SQL infoalso stored procedures in Java possibleno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factorMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infoquery execution via MapReduceno infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoisolation level can be parameterizedyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and rolesfine grained access rights according to SQL-standardno

More information provided by the system vendor

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More resources
Amazon RedshiftApache ImpalaHiveOracleRocksDB
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