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DBMS > Blazegraph vs. Databricks vs. FileMaker vs. MarkLogic vs. PostGIS

System Properties Comparison Blazegraph vs. Databricks vs. FileMaker vs. MarkLogic vs. PostGIS

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonMarkLogic  Xexclude from comparisonPostGIS  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.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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Operational and transactional Enterprise NoSQL databaseSpatial extension of PostgreSQL
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websiteblazegraph.comwww.databricks.comwww.claris.com/­filemakerwww.progress.com/­marklogicpostgis.net
Technical documentationwiki.blazegraph.comdocs.databricks.comwww.claris.com/­resources/­documentationwww.progress.com/­marklogic/­documentationpostgis.net/­documentation
DeveloperBlazegraphDatabricksClaris infoa subsidiary of AppleMarkLogic Corp.
Initial release20062013198320012005
Current release2.1.5, March 201919.4.1, November 202111.0, December 20223.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialcommercial inforestricted free version is availableOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsLinux
OS X
Windows
hostediOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infoSchema can be enforcedyes
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 formatyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagewith Databricks SQLyes infovia pluginsyes infoSQL92yes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Python
R
Scala
PHPC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyesyes infovia XQuery or JavaScriptuser defined functions
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication, warm standby infosince Version 14yesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infocan act as a resource manager in an XA/JTA transactionACID
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.noyes, with Range Indexesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)simple rights management via user accounts and connection to external directory servicesRole-based access control at the document and subdocument levelsyes infobased on PostgreSQL
More information provided by the system vendor
BlazegraphDatabricksFileMakerMarkLogicPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BlazegraphDatabricksFileMakerMarkLogicPostGIS
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