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DBMS > Amazon SimpleDB vs. Brytlyt vs. Hive vs. Ignite vs. SQream DB

System Properties Comparison Amazon SimpleDB vs. Brytlyt vs. Hive vs. Ignite vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonSQream DB  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 PostgreSQLdata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteaws.amazon.com/­simpledbbrytlyt.iohive.apache.orgignite.apache.orgsqream.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.brytlyt.iocwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsdocs.sqream.com
DeveloperAmazonBrytlytApache Software Foundation infoinitially developed by FacebookApache Software FoundationSQream Technologies
Initial release20072016201220152017
Current release5.0, August 20233.1.3, April 2022Apache Ignite 2.62022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJavaC++, Java, .NetC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes, 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.yes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.Net
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)user defined functions in Python
Triggersnoyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factoryes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yes
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 rights for users, groups and rolesSecurity Hooks for custom implementations

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More resources
Amazon SimpleDBBrytlytHiveIgniteSQream DB
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