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DBMS > Amazon Aurora vs. Ehcache vs. Impala

System Properties Comparison Amazon Aurora vs. Ehcache vs. Impala

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEhcache  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA widely adopted Java cache with tiered storage optionsAnalytic DBMS for Hadoop
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.74
Rank#45  Overall
#29  Relational DBMS
Score6.09
Rank#65  Overall
#8  Key-value stores
Score18.46
Rank#39  Overall
#24  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.ehcache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.ehcache.org/­documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperAmazonTerracotta Inc, owned by Software AGCloudera
Initial release201520092013
Current release3.9.6, September 20214.0.0, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Data schemeyesschema-freeyes
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.yesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JCacheJDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduce
Triggersyesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby using Terracotta Serverselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Amazon AuroraEhcacheImpala
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Recent citations in the news

Amazon RDS Introduces Readable Standby Instances in Multi-AZ Deployments
1 January 2022, InfoQ.com

Cloudflare Introduces Support for Relational Database Connections Through Workers
20 January 2022, InfoQ.com

Amazon Aurora Supports MySQL 8.0
28 November 2021, InfoQ.com

Amazon Aurora Supports PostgreSQL 13
5 September 2021, InfoQ.com

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13 September 2011, InfoQ.com

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Cloudera Boosts Hadoop App Development On Impala
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