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DBMS > Amazon Aurora vs. Apache Impala vs. Faircom EDGE vs. SwayDB

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Faircom EDGE vs. SwayDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Key-value store
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
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.faircom.com/­products/­faircom-edgeswaydb.simer.au
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaFairCom CorporationSimer Plaha
Initial release2015201319792018
Current release4.1.0, June 2022V3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoRestricted, free version availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++Scala
Server operating systemshostedLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesno
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.yesnoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infoANSI SQL queriesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
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#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes info.Net, JavaScript, C/C++no
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingFile partitioning infoCustomizable business rules for partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes infoSynchronous and asynchronous realtime replication based on transaction logsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
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.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no

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More resources
Amazon AuroraApache ImpalaFaircom EDGE infoformerly c-treeEDGESwayDB
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