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DBMS > Amazon Aurora vs. Apache Impala vs. Drizzle vs. Interbase vs. JaguarDB

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Drizzle vs. Interbase vs. JaguarDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonInterbase  Xexclude from comparisonJaguarDB  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 HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Light-weight proven RDBMS infooriginally from BorlandPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Vector DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.embarcadero.com/­products/­interbasewww.jaguardb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldocs.embarcadero.com/­products/­interbasewww.jaguardb.com/­support.html
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerEmbarcaderoDataJaguar, Inc.
Initial release20152013200819842015
Current release4.1.0, June 20227.2.4, September 2012InterBase 2020, December 20193.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU GPLcommercialOpen Source infoGPL V3.0
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++C++CC++ infothe server part. Clients available in other languages
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Android
iOS
Linux
OS X
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoexport as XML data possibleno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infowith proprietary extensionsyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBCADO.NET
JDBC
ODBC
JDBC
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
All languages supporting JDBC/ODBCC
C++
Java
PHP
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoyes infoInterbase procedure and trigger languageno
Triggersyesnono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
Interbase Change ViewsMulti-source replication
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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardrights management via user accounts

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More resources
Amazon AuroraApache ImpalaDrizzleInterbaseJaguarDB
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