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DBMS > Amazon Aurora vs. Apache Impala vs. Axibase vs. Drizzle vs. SWC-DB

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Axibase vs. Drizzle vs. SWC-DB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonAxibase  Xexclude from comparisonDrizzle  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 HadoopScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSWide column store
Secondary database modelsDocument storeDocument storeTime Series DBMS
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
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgaxibase.com/­docs/­atsd/­financegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.html
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaAxibase CorporationDrizzle project, originally started by Brian AkerAlex Kashirin
Initial release20152013201320082020
Current release4.1.0, June 2022155857.2.4, September 20120.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoGNU GPLOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++
Server operating systemshostedLinuxLinuxFreeBSD
Linux
OS X
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoshort, integer, long, float, double, decimal, stringyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languageyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBCProprietary protocol
Thrift
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/ODBCGo
Java
PHP
Python
R
Ruby
C
C++
Java
PHP
C++
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyesnono
Triggersyesnoyesno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
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, HTTP

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More resources
Amazon AuroraApache ImpalaAxibaseDrizzleSWC-DB infoSuper Wide Column Database
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