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DBMS > Apache Phoenix vs. Blazegraph vs. FileMaker vs. Spark SQL vs. Warp 10

System Properties Comparison Apache Phoenix vs. Blazegraph vs. FileMaker vs. Spark SQL vs. Warp 10

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonFileMaker  Xexclude from comparisonSpark SQL  Xexclude from comparisonWarp 10  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Spark SQL is a component on top of 'Spark Core' for structured data processingTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitephoenix.apache.orgblazegraph.comwww.claris.com/­filemakerspark.apache.org/­sqlwww.warp10.io
Technical documentationphoenix.apache.orgwiki.blazegraph.comwww.claris.com/­resources/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationBlazegraphClaris infoa subsidiary of AppleApache Software FoundationSenX
Initial release20142006198320142015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 201919.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availablecommercialOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScalaJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free
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 formatnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesSPARQL is used as query languageyes infovia pluginsSQL-like DML and DDL statementsno
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
PHPJava
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesyesnoyes infoWarpScript
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark CoreSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replication, warm standby infosince Version 14noneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
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.yesnoyes
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)simple rights management via user accounts and connection to external directory servicesnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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Apache PhoenixBlazegraphFileMakerSpark SQLWarp 10
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