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DBMS > Amazon Aurora vs. Apache Impala vs. Apache Pinot vs. DataFS vs. MaxDB

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Apache Pinot vs. DataFS vs. MaxDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonApache Pinot  Xexclude from comparisonDataFS  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMSRelational DBMS
Secondary database modelsDocument storeDocument storeGraph DBMS
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
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgpinot.apache.orgnewdatabase.commaxdb.sap.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldocs.pinot.apache.orgdev.mobiland.com/­Overview.xspmaxdb.sap.com/­documentation
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation and contributorsMobiland AGSAP, acquired from Software AG (Adabas-D) in 1997
Initial release20152013201520181984
Current release4.1.0, June 20221.0.0, September 20231.1.263, October 20227.9.10.12, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial infoLimited community edition free
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 languageC++JavaC++
Server operating systemshostedLinuxAll OS with a Java JDK11 or higherWindowsAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
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.yesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languagenoyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
ODBC
WebDAV
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/ODBCGo
Java
Python
.Net
C
C#
C++
VB.Net
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes
Triggersyesnono, except callback-events from server when changes happenedyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningProprietary Sharding systemnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosWindows-Profilefine grained access rights according to SQL-standard

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More resources
Amazon AuroraApache ImpalaApache PinotDataFSMaxDB infoformerly named Adabas-D
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