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DBMS > Amazon SimpleDB vs. Apache Phoenix vs. Hive vs. Prometheus vs. Quasardb

System Properties Comparison Amazon SimpleDB vs. Apache Phoenix vs. Hive vs. Prometheus vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  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 HBasedata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSTime Series 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­simpledbphoenix.apache.orghive.apache.orgprometheus.ioquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbphoenix.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­master
DeveloperAmazonApache Software FoundationApache Software Foundation infoinitially developed by Facebookquasardb
Initial release20072014201220152009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaJavaGoC++
Server operating systemshostedLinux
Unix
Windows
All OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesNumeric data onlyyes infointeger and binary
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.nono infoImport of XML data possibleno
Secondary indexesyes infoAll columns are indexed automaticallyyesyesnoyes infowith tags
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyes infouser defined functions and integration of map-reducenono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factoryes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
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-tenancyAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trail

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Amazon SimpleDBApache PhoenixHivePrometheusQuasardb
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