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DBMS > Amazon Neptune vs. Apache Drill vs. Apache Phoenix vs. FoundationDB vs. Postgres-XL

System Properties Comparison Amazon Neptune vs. Apache Drill vs. Apache Phoenix vs. FoundationDB vs. Postgres-XL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFoundationDB  Xexclude from comparisonPostgres-XL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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, reliable graph database built for the cloudSchema-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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­neptunedrill.apache.orgphoenix.apache.orggithub.com/­apple/­foundationdbwww.postgres-xl.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdrill.apache.org/­docsphoenix.apache.orgapple.github.io/­foundationdbwww.postgres-xl.org/­documentation
DeveloperAmazonApache Software FoundationApache Software FoundationFoundationDB
Initial release20172012201420132014 infosince 2012, originally named StormDB
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20196.2.28, November 202010 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMozilla public license
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
macOS
Data schemeschema-freeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesyesyesno infosome layers support typingyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantyessupported in specific SQL layer onlyyes infodistributed, parallel query execution
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsin SQL-layer onlyuser defined functions
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restDepending 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 sourceyesno
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-tenancynofine grained access rights according to SQL-standard

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Amazon NeptuneApache DrillApache PhoenixFoundationDBPostgres-XL
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