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DBMS > Amazon Aurora vs. Drizzle vs. Faircom EDGE vs. OpenMLDB

System Properties Comparison Amazon Aurora vs. Drizzle vs. Faircom EDGE vs. OpenMLDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonOpenMLDB  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 AmazonMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorawww.faircom.com/­products/­faircom-edgeopenmldb.ai
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlopenmldb.ai/­docs/­zh/­main
DeveloperAmazonDrizzle project, originally started by Brian AkerFairCom Corporation4 Paradigm Inc.
Initial release2015200819792020
Current release7.2.4, September 2012V3, October 20202024-2 February 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercial infoRestricted, free version availableOpen Source
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++C++, Java, Scala
Server operating systemshostedFreeBSD
Linux
OS X
Android
Linux infoARM, x86
Raspbian
Windows
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)Fixed schema
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes infoANSI SQL queriesyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
SQLAlchemy
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
PHP
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyesnoyes info.Net, JavaScript, C/C++no
Triggersyesno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standard

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More resources
Amazon AuroraDrizzleFaircom EDGE infoformerly c-treeEDGEOpenMLDB
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