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DBMS > Amazon Aurora vs. Apache Impala vs. Datomic vs. OpenQM

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Datomic vs. OpenQM

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.datomic.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldocs.datomic.com
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectRocket Software, originally Martin Phillips
Initial release2015201320121993
Current release4.1.0, June 20221.0.7075, December 20233.4-12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, Clojure
Server operating systemshostedLinuxAll OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyes
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.yesnonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnono
APIs and other access methodsADO.NET
JDBC
ODBC
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/ODBCClojure
Java
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsyes
TriggersyesnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone infoBut extensive use of caching in the application peersyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornone infoBut extensive use of caching in the application peersyes
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 integrityyesnonono
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 persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and development
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights can be defined down to the item level

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More resources
Amazon AuroraApache ImpalaDatomicOpenQM infoalso called QM
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