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DBMS > Blazegraph vs. Databricks vs. FatDB vs. FileMaker vs. Vitess

System Properties Comparison Blazegraph vs. Databricks vs. FatDB vs. FileMaker vs. Vitess

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatabricks  Xexclude from comparisonFatDB  Xexclude from comparisonFileMaker  Xexclude from comparisonVitess  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.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A .NET NoSQL DBMS that can integrate with and extend SQL Server.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Document store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteblazegraph.comwww.databricks.comwww.claris.com/­filemakervitess.io
Technical documentationwiki.blazegraph.comdocs.databricks.comwww.claris.com/­resources/­documentationvitess.io/­docs
DeveloperBlazegraphDatabricksFatCloudClaris infoa subsidiary of AppleThe Linux Foundation, PlanetScale
Initial release20062013201219832013
Current release2.1.5, March 201919.4.1, November 202115.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Go
Server operating systemsLinux
OS X
Windows
hostedWindowsiOS infoclient part only
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyes 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.yesyes infoA http query request can return the data in XML format
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagewith Databricks SQLno infoVia inetgration in SQL Serveryes infovia pluginsyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Python
R
Scala
C#PHPAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes infovia applicationsyesyes infoproprietary syntax
Triggersnoyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factorSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.noyes
User concepts infoAccess controlSecurity 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 servicesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
BlazegraphDatabricksFatDBFileMakerVitess
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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