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DBMS > Amazon SimpleDB vs. Apache Drill vs. Apache Phoenix vs. FoundationDB vs. RocksDB

System Properties Comparison Amazon SimpleDB vs. Apache Drill vs. Apache Phoenix vs. FoundationDB vs. RocksDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFoundationDB  Xexclude from comparisonRocksDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseOrdered key-value store. Core features are complimented by layers.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websiteaws.amazon.com/­simpledbdrill.apache.orgphoenix.apache.orggithub.com/­apple/­foundationdbrocksdb.org
Technical documentationdocs.aws.amazon.com/­simpledbdrill.apache.org/­docsphoenix.apache.orgapple.github.io/­foundationdbgithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazonApache Software FoundationApache Software FoundationFoundationDBFacebook, Inc.
Initial release20072012201420132013
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20196.2.28, November 20209.4.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoBSD
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 languageJavaC++C++
Server operating systemshostedLinux
OS X
Windows
Linux
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or datenoyesyesno infosome layers support typingno
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 automaticallynoyesnono
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantyessupported in specific SQL layer onlyno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JDBCC++ API
Java API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsin SQL-layer onlyno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate Consistency or Eventual ConsistencyLinearizable consistency
Foreign keys infoReferential integritynononoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynono

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More resources
Amazon SimpleDBApache DrillApache PhoenixFoundationDBRocksDB
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