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DBMS > Amazon SimpleDB vs. Apache Phoenix vs. HugeGraph vs. Riak TS vs. Sadas Engine

System Properties Comparison Amazon SimpleDB vs. Apache Phoenix vs. HugeGraph vs. Riak TS vs. Sadas Engine

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHugeGraph  Xexclude from comparisonRiak TS  Xexclude from comparisonSadas Engine  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 scale-out RDBMS with evolutionary schema built on Apache HBaseA fast-speed and highly-scalable Graph DBMSRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeRelational DBMSGraph DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteaws.amazon.com/­simpledbphoenix.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.sadasengine.com
Technical documentationdocs.aws.amazon.com/­simpledbphoenix.apache.orghugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazonApache Software FoundationBaiduOpen Source, formerly Basho TechnologiesSADAS s.r.l.
Initial release20072014201820152006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.93.0.0, September 20228.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Sourcecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlangC++
Server operating systemshostedLinux
Unix
Windows
Linux
macOS
Unix
Linux
OS X
AIX
Linux
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infoalso supports composite index and range indexrestrictedyes
SQL infoSupport of SQLnoyesnoyes, limitedyes
APIs and other access methodsRESTful HTTP APIJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobsErlangno
Triggersnononoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationvia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno infolinks between datasets can be storedyes
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 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.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionsnoAccess rights for users, groups and roles according to SQL-standard

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Amazon SimpleDBApache PhoenixHugeGraphRiak TSSadas Engine
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