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DBMS > Amazon SimpleDB vs. Drizzle vs. etcd vs. Faircom EDGE

System Properties Comparison Amazon SimpleDB vs. Drizzle vs. etcd vs. Faircom EDGE

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDrizzle  Xexclude from comparisonetcd  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  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.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed reliable key-value storeFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments
Primary database modelKey-value storeRelational DBMSKey-value storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Websiteaws.amazon.com/­simpledbetcd.io
github.com/­etcd-io/­etcd
www.faircom.com/­products/­faircom-edge
Technical documentationdocs.aws.amazon.com/­simpledbetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperAmazonDrizzle project, originally started by Brian AkerFairCom Corporation
Initial release200720081979
Current release7.2.4, September 20123.4, August 2019V3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2.0commercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoANSI C, C++
Server operating systemshostedFreeBSD
Linux
OS X
FreeBSD
Linux
Windows infoexperimental
Android
Linux infoARM, x86
Raspbian
Windows
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesnoyes, ANSI Standard SQL Types
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.noyes
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes infoANSI SQL queries
APIs and other access methodsRESTful HTTP APIJDBCgRPC
JSON over HTTP
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C++
Java
PHP
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresnononoyes info.Net, JavaScript, C/C++
Triggersnono infohooks for callbacks inside the server can be used.yes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnoyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQL
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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Pluggable authentication mechanisms infoe.g. LDAP, HTTPnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
Amazon SimpleDBDrizzleetcdFaircom EDGE infoformerly c-treeEDGE
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