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DBMS > Amazon Aurora vs. Apache Impala vs. BoltDB vs. Drizzle vs. Ehcache

System Properties Comparison Amazon Aurora vs. Apache Impala vs. BoltDB vs. Drizzle vs. Ehcache

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted Java cache with tiered storage options
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.76
Rank#224  Overall
#32  Key-value stores
Score5.23
Rank#68  Overall
#8  Key-value stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orggithub.com/­boltdb/­boltwww.ehcache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentation
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AG
Initial release20152013201320082009
Current release4.1.0, June 20227.2.4, September 20123.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available
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++GoC++Java
Server operating systemshostedLinuxBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
All OS with a Java VM
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBCJCache
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/ODBCGoC
C++
Java
PHP
Java
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenonono
Triggersyesnonono infohooks for callbacks inside the server can be used.yes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneShardingSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneMulti-source replication
Source-replica replication
yes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infousing a tiered cache-storage approach
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
Amazon AuroraApache ImpalaBoltDBDrizzleEhcache
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