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DBMS > Amazon Redshift vs. Apache Impala vs. Badger vs. Oracle vs. Rockset

System Properties Comparison Amazon Redshift vs. Apache Impala vs. Badger vs. Oracle vs. Rockset

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonOracle  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Widely used RDBMSA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSDocument 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
Relational DBMS
Search engine
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
Score0.20
Rank#325  Overall
#49  Key-value stores
Score1234.27
Rank#1  Overall
#1  Relational DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Websiteaws.amazon.com/­redshiftimpala.apache.orggithub.com/­dgraph-io/­badgerwww.oracle.com/­databaserockset.com
Technical documentationdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.oracle.com/­en/­databasedocs.rockset.com
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsOracleRockset
Initial release20122013201719802019
Current release4.1.0, June 202223c, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++GoC and C++C++
Server operating systemshostedLinuxBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
hosted
Data schemeyesyesschema-freeyes infoSchemaless in JSON and XML columnsschema-free
Typing infopredefined data types such as float or dateyesyesnoyesdynamic typing
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.nononoyesno infoingestion from XML files supported
Secondary indexesrestrictedyesnoyesall fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsnoyes infowith proprietary extensionsRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBCGoC
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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reducenoPL/SQL infoalso stored procedures in Java possibleno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding, horizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate ConsistencyEventual 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 parameterizedno
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.yesnonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon RedshiftApache ImpalaBadgerOracleRockset
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