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

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

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHarperDB  Xexclude from comparisonHugeGraph  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 ScioreUltra-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 fast-speed and highly-scalable Graph DBMSRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelKey-value storeDocument storeGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.harperdb.iogithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.harperdb.io/­docshugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAmazonHarperDBBaiduOpen Source, formerly Basho Technologies
Initial release2007201720182015
Current release3.1, August 20210.93.0.0, September 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaErlang
Server operating systemshostedLinux
OS X
Linux
macOS
Unix
Linux
OS X
Data schemeschema-freedynamic schemayesschema-free
Typing infopredefined data types such as float or datenoyes infoJSON data typesyesno
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infoalso supports composite index and range indexrestricted
SQL infoSupport of SQLnoSQL-like data manipulation statementsnoyes, limited
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.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
Groovy
Java
Python
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 proceduresnoCustom Functions infosince release 3.1asynchronous Gremlin script jobsErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
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 clusteryes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno 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 applicationAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
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)Access rights for users and rolesUsers, roles and permissionsno

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More resources
Amazon SimpleDBHarperDBHugeGraphRiak TS
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