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DBMS > Amazon SimpleDB vs. Atos Standard Common Repository vs. Kdb vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon SimpleDB vs. Atos Standard Common Repository vs. Kdb vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
This system has been discontinued and will be removed 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 ScioreHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeDocument store
Key-value store
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­simpledbatos.net/en/convergence-creators/portfolio/standard-common-repositorykx.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.aws.amazon.com/­simpledbcode.kx.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAmazonAtos Convergence CreatorsKx Systems, a division of First Derivatives plcMicrosoft
Initial release200720162000 infokdb was released 2000, kdb+ in 20032016
Current release17033.6, May 2018
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC++
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
hosted
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or datenooptionalyesyes
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 indexesyes infoAll columns are indexed automaticallyyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoSQL-like query language (q)yes
APIs and other access methodsRESTful HTTP APILDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnonouser defined functionsTransact SQL
Triggersnoyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infocell divisionhorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationrights management via user accountsyes
More information provided by the system vendor
Amazon SimpleDBAtos Standard Common RepositoryKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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More resources
Amazon SimpleDBAtos Standard Common RepositoryKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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