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DBMS > Amazon DocumentDB vs. Apache Drill vs. Apache Phoenix vs. Cachelot.io vs. FoundationDB

System Properties Comparison Amazon DocumentDB vs. Apache Drill vs. Apache Phoenix vs. Cachelot.io vs. FoundationDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCachelot.io  Xexclude from comparisonFoundationDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseIn-memory caching systemOrdered key-value store. Core features are complimented by layers.
Primary database modelDocument storeDocument store
Relational DBMS
Relational DBMSKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Websiteaws.amazon.com/­documentdbdrill.apache.orgphoenix.apache.orgcachelot.iogithub.com/­apple/­foundationdb
Technical documentationaws.amazon.com/­documentdb/­resourcesdrill.apache.org/­docsphoenix.apache.orgapple.github.io/­foundationdb
DeveloperApache Software FoundationApache Software FoundationFoundationDB
Initial release20192012201420152013
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20196.2.28, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoSimplified BSD LicenseOpen Source infoApache 2.0
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
FreeBSD
Linux
OS X
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesyesnono infosome layers support typing
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 indexesyesnoyesnono
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantyesnosupported in specific SQL layer only
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
JDBCMemcached protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsnoin SQL-layer only
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual ConsistencynoneLinearizable consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononoin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlAccess rights for users and rolesDepending 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 DocumentDBApache DrillApache PhoenixCachelot.ioFoundationDB
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