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DBMS > Amazon Aurora vs. Apache Impala vs. Drizzle vs. IBM Db2 warehouse vs. SAP SQL Anywhere

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Drizzle vs. IBM Db2 warehouse vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-based data warehousing serviceRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score1.34
Rank#166  Overall
#76  Relational DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.ibm.com/­products/­db2/­warehousewww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerIBMSAP infoformerly Sybase
Initial release20152013200820141992
Current release4.1.0, June 20227.2.4, September 201217, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedLinuxFreeBSD
Linux
OS X
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnono infoImport/export of XML data possibleyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infowith proprietary extensionsyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBCC
C++
Java
PHP
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoPL/SQL, SQL PLyes, in C/C++, Java, .Net or Perl
Triggersyesnono infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
yesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon AuroraApache ImpalaDrizzleIBM Db2 warehouse infoformerly named IBM dashDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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