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DBMS > Amazon SimpleDB vs. Apache Phoenix vs. HugeGraph vs. KairosDB vs. Sadas Engine

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

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHugeGraph  Xexclude from comparisonKairosDB  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 DBMSDistributed Time Series DBMS based on Cassandra or H2SADAS 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
Score1.88
Rank#139  Overall
#24  Key-value stores
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.71
Rank#230  Overall
#20  Time Series DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Websiteaws.amazon.com/­simpledbphoenix.apache.orggithub.com/­hugegraph
hugegraph.apache.org
github.com/­kairosdb/­kairosdbwww.sadasengine.com
Technical documentationdocs.aws.amazon.com/­simpledbphoenix.apache.orghugegraph.apache.org/­docskairosdb.github.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazonApache Software FoundationBaiduSADAS s.r.l.
Initial release20072014201820132006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.91.2.2, November 20188.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree trial version available
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 languageJavaJavaJavaC++
Server operating systemshostedLinux
Unix
Windows
Linux
macOS
Unix
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexnoyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsRESTful HTTP APIJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
Graphite protocol
HTTP REST
Telnet API
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
Java
JavaScript infoNode.js
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobsnono
Triggersnonononono
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 HBaseSharding infobased on Cassandrahorizontal 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 factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationvia hugegraph-sparknono
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 Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnoyes
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.yesyesnoyes 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 permissionssimple password-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon SimpleDBApache PhoenixHugeGraphKairosDBSadas Engine
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