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DBMS > Amazon SimpleDB vs. Brytlyt vs. HBase vs. TDSQL for MySQL

System Properties Comparison Amazon SimpleDB vs. Brytlyt vs. HBase vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonHBase  Xexclude from comparisonTDSQL for MySQL  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 ScioreScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWide-column store based on Apache Hadoop and on concepts of BigTableA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelKey-value storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­simpledbbrytlyt.iohbase.apache.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.aws.amazon.com/­simpledbdocs.brytlyt.iohbase.apache.org/­book.htmlwww.tencentcloud.com/­document/­product/­1042
DeveloperAmazonBrytlytApache Software Foundation infoApache top-level project, originally developed by PowersetTencent
Initial release2007201620082013
Current release5.0, August 20232.3.4, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAJava
Server operating systemshostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
hosted
Data schemeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyes infoCoprocessors in Javayes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDSingle row ACID (across millions of columns)ACID
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authorization concept

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More resources
Amazon SimpleDBBrytlytHBaseTDSQL for MySQL
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