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

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

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonatoti  Xexclude from comparisonRiak TS  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Riak 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 DBMSObject oriented DBMSTime Series DBMSDocument store
Secondary database modelsDocument storeDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgatoti.iorockset.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldocs.atoti.iowww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rockset.com
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaActiveViamOpen Source, formerly Basho TechnologiesRockset
Initial release2015201320152019
Current release4.1.0, June 20223.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infofree versions availableOpen 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++JavaErlangC++
Server operating systemshostedLinuxLinux
OS X
hosted
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnodynamic 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.yesnonono infoingestion from XML files supported
Secondary indexesyesyesrestrictedall fields are automatically indexed
SQL infoSupport of SQLyesSQL-like DML and DDL statementsMultidimensional Expressions (MDX)yes, limitedRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
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/ODBCC 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-reducePythonErlangno
Triggersyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding, horizontal partitioningShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable 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 integrityyesnono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon AuroraApache ImpalaatotiRiak TSRockset
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