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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Blazegraph vs. FatDB

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. Blazegraph vs. FatDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A .NET NoSQL DBMS that can integrate with and extend SQL Server.
Primary database modelDocument storeRelational DBMSGraph DBMS
RDF store
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Websiteaws.amazon.com/­documentdbphoenix.apache.orgblazegraph.com
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgwiki.blazegraph.com
DeveloperApache Software FoundationBlazegraphFatCloud
Initial release2019201420062012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoextended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemshostedLinux
Unix
Windows
Linux
OS X
Windows
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoRDF literal typesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSPARQL is used as query languageno infoVia inetgration in SQL Server
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
Server-side scripts infoStored proceduresnouser defined functionsyesyes infovia applications
Triggersnononoyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
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
yesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancySecurity and Authentication via Web Application Container (Tomcat, Jetty)no infoCan implement custom security layer via applications

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More resources
Amazon DocumentDBApache PhoenixBlazegraphFatDB
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