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DBMS > Amazon SimpleDB vs. Faircom EDGE vs. GeoSpock vs. IRONdb vs. VelocityDB

System Properties Comparison Amazon SimpleDB vs. Faircom EDGE vs. GeoSpock vs. IRONdb vs. VelocityDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonVelocityDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it 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 ScioreFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsSpatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSTime Series DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteaws.amazon.com/­simpledbwww.faircom.com/­products/­faircom-edgegeospock.comwww.circonus.com/solutions/time-series-database/velocitydb.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.circonus.com/irondb/category/getting-startedvelocitydb.com/­UserGuide
DeveloperAmazonFairCom CorporationGeoSpockCirconus LLC.VelocityDB Inc
Initial release2007197920172011
Current releaseV3, October 20202.0, September 2019V0.10.20, January 20187.x
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++Java, JavascriptC and C++C#
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
hostedLinuxAny that supports .NET
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesyes infotext, numeric, histogramsyes
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 indexesyes infoAll columns are indexed automaticallyyestemporal, categoricalnoyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsRESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBCHTTP API.Net
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++noyes, in Luano
TriggersnoyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationFile partitioning infoCustomizable business rules for partitioningAutomatic shardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
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.yesnonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users can be defined per tablenoBased on Windows Authentication

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More resources
Amazon SimpleDBFaircom EDGE infoformerly c-treeEDGEGeoSpockIRONdbVelocityDB
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