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DBMS > Amazon Aurora vs. Apache Impala vs. Apache Phoenix vs. Databricks vs. SAP IQ

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Apache Phoenix vs. Databricks vs. SAP IQ

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDatabricks  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopA scale-out RDBMS with evolutionary schema built on Apache HBaseThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Columnar RDBMS optimized for Big Data analytics
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMS infocolumn-oriented
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgphoenix.apache.orgwww.databricks.comwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlphoenix.apache.orgdocs.databricks.comhelp.sap.com/­docs/­SAP_IQ
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationDatabricksSAP, formerly Sybase
Initial release20152013201420131994
Current release4.1.0, June 20225.0-HBase2, July 2018 and 4.15-HBase1, December 201916.1 SPS04, April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial
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++Java
Server operating systemshostedLinuxLinux
Unix
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)yes
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.yesnonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyeswith Databricks SQLyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBCJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
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#
C++
Go
Groovy
Java
PHP
Python
Scala
Python
R
Scala
C
C#
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceuser defined functionsuser defined functions and aggregatesyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingshared disk or shared nothing architectures with SAP IQ Multiplexer
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
yesSAP/Sybase Replication Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceHadoop integrationHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
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.yesnoyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraApache ImpalaApache PhoenixDatabricksSAP IQ infoformer name: Sybase IQ
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon AuroraApache ImpalaApache PhoenixDatabricksSAP IQ infoformer name: Sybase IQ
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