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DBMS > Blazegraph vs. FileMaker vs. Kinetica vs. Riak KV

System Properties Comparison Blazegraph vs. FileMaker vs. Kinetica vs. Riak KV

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFileMaker  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-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.Fully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value store
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score48.81
Rank#21  Overall
#15  Relational DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score4.95
Rank#76  Overall
#9  Key-value stores
Websiteblazegraph.comwww.claris.com/­filemakerwww.kinetica.com
Technical documentationwiki.blazegraph.comwww.claris.com/­resources/­documentationdocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBlazegraphClaris infoa subsidiary of AppleKineticaOpenSource, formerly Basho Technologies
Initial release2006198320122009
Current release2.1.5, March 201919.4.1, November 20217.1, August 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Erlang
Server operating systemsLinux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
LinuxLinux
OS X
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesno
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.yes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLSPARQL is used as query languageyes infovia pluginsSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
PHPC++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesyesuser defined functionsErlang
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14Source-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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 infoGPU vRAM or System RAM
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)simple rights management via user accounts and connection to external directory servicesAccess rights for users and roles on table levelyes, using Riak Security

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More resources
BlazegraphFileMakerKineticaRiak KV
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