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DBMS > Amazon SimpleDB vs. Faircom EDGE vs. Microsoft Azure Synapse Analytics vs. SingleStore

System Properties Comparison Amazon SimpleDB vs. Faircom EDGE vs. Microsoft Azure Synapse Analytics vs. SingleStore

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
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 environmentsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­services/­synapse-analyticswww.singlestore.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­azure/­synapse-analyticsdocs.singlestore.com
DeveloperAmazonFairCom CorporationMicrosoftSingleStore Inc.
Initial release2007197920162013
Current releaseV3, October 20208.5, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C++C++, Go
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
hostedLinux info64 bit version required
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesyes
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.yesnono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesyesyes infobut no triggers and foreign keys
APIs and other access methodsRESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Java
PHP
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++Transact SQLyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationFile partitioning infoCustomizable business rules for partitioningSharding, horizontal partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
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
Foreign keys infoReferential integritynoyes infowhen using SQLno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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.yesFine grained access control via users, groups and roles

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More resources
Amazon SimpleDBFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSingleStore infoformer name was MemSQL
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