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DBMS > Amazon Aurora vs. Apache Impala vs. OrigoDB vs. Riak TS vs. Rockset

System Properties Comparison Amazon Aurora vs. Apache Impala vs. OrigoDB vs. Riak TS vs. Rockset

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonOrigoDB  Xexclude from comparisonRiak TS  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopA fully ACID in-memory object graph databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSDocument store
Secondary database modelsDocument storeDocument storeRelational DBMS
Search engine
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
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgorigodb.comrockset.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rockset.com
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaRobert Friberg et alOpen Source, formerly Basho TechnologiesRockset
Initial release201520132009 infounder the name LiveDB20152019
Current release4.1.0, June 20223.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open SourceOpen Sourcecommercial
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 languageC++C#ErlangC++
Server operating systemshostedLinuxLinux
Windows
Linux
OS X
hosted
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsnodynamic 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.yesnono infocan be achieved using .NETnono infoingestion from XML files supported
Secondary indexesyesyesyesrestrictedall fields are automatically indexed
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes, limitedRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
HTTP REST
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/ODBC.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyesErlangno
Triggersyesnoyes infoDomain Eventsyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnodepending on modelno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole based authorizationnoAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon AuroraApache ImpalaOrigoDBRiak TSRockset
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