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DBMS > Amazon SimpleDB vs. Brytlyt vs. HarperDB vs. OceanBase

System Properties Comparison Amazon SimpleDB vs. Brytlyt vs. HarperDB vs. OceanBase

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonHarperDB  Xexclude from comparisonOceanBase  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 PostgreSQLUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Wide column store
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
Score0.55
Rank#248  Overall
#38  Document stores
Score1.66
Rank#147  Overall
#68  Relational DBMS
Websiteaws.amazon.com/­simpledbbrytlyt.iowww.harperdb.ioen.oceanbase.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.brytlyt.iodocs.harperdb.io/­docsen.oceanbase.com/­docs/­oceanbase-database
DeveloperAmazonBrytlytHarperDBOceanBase infopreviously Alibaba and Ant Group
Initial release2007201620172010
Current release5.0, August 20233.1, August 20214.3.0, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableOpen Source infoCommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDANode.jsC++
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Linux
Data schemeschema-freeyesdynamic schemayes
Typing infopredefined data types such as float or datenoyesyes infoJSON data typesyes
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.noyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoyesSQL-like data manipulation statementsyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLCustom Functions infosince release 3.1PL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infothe nodes on which a table resides can be definedMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
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 and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon SimpleDBBrytlytHarperDBOceanBase
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