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DBMS > Amazon SimpleDB vs. HugeGraph vs. OceanBase vs. Riak TS

System Properties Comparison Amazon SimpleDB vs. HugeGraph vs. OceanBase vs. Riak TS

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonOceanBase  Xexclude from comparisonRiak TS  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 ScioreA fast-speed and highly-scalable Graph DBMSA distributed, high available RDBMS compatible with Oracle and MySQLRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelKey-value storeGraph DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­hugegraph
hugegraph.apache.org
en.oceanbase.com
Technical documentationdocs.aws.amazon.com/­simpledbhugegraph.apache.org/­docsen.oceanbase.com/­docs/­oceanbase-databasewww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAmazonBaiduOceanBase infopreviously Alibaba and Ant GroupOpen Source, formerly Basho Technologies
Initial release2007201820102015
Current release0.94.3.0, April 20243.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoCommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Erlang
Server operating systemshostedLinux
macOS
Unix
LinuxLinux
OS X
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyesno
Secondary indexesyes infoAll columns are indexed automaticallyyes infoalso supports composite index and range indexyesrestricted
SQL infoSupport of SQLnonoyesyes, limited
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
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
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeErlang
Triggersnonoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication using Paxosselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDno
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users, roles and permissionsAccess rights for users, groups and roles according to SQL-standardno

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More resources
Amazon SimpleDBHugeGraphOceanBaseRiak TS
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