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DBMS > Apache Phoenix vs. Blazegraph vs. FatDB vs. FileMaker vs. SAP HANA

System Properties Comparison Apache Phoenix vs. Blazegraph vs. FatDB vs. FileMaker vs. SAP HANA

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparisonFileMaker  Xexclude from comparisonSAP HANA  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.
DescriptionA 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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.In-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitephoenix.apache.orgblazegraph.comwww.claris.com/­filemakerwww.sap.com/­products/­hana.html
Technical documentationphoenix.apache.orgwiki.blazegraph.comwww.claris.com/­resources/­documentationhelp.sap.com/­hana
DeveloperApache Software FoundationBlazegraphFatCloudClaris infoa subsidiary of AppleSAP
Initial release20142006201219832010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 201919.4.1, November 20212.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
WindowsiOS infoclient part only
Linux
OS X
Windows
Appliance or cloud-service
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyesyes
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSPARQL is used as query languageno infoVia inetgration in SQL Serveryes infovia pluginsyes
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#PHP
Server-side scripts infoStored proceduresuser defined functionsyesyes infovia applicationsyesSQLScript, R
Triggersnonoyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factorSource-replica replication, warm standby infosince Version 14yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess 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 applicationssimple rights management via user accounts and connection to external directory servicesyes

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More resources
Apache PhoenixBlazegraphFatDBFileMakerSAP HANA
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