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DBMS > AgensGraph vs. Databricks vs. EsgynDB vs. Microsoft Azure SQL Database vs. RDF4J

System Properties Comparison AgensGraph vs. Databricks vs. EsgynDB vs. Microsoft Azure SQL Database vs. RDF4J

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLThe 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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDatabase as a Service offering with high compatibility to Microsoft SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
Relational DBMS
Document store
Relational DBMS
Relational DBMSRelational DBMSRDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitebitnine.net/­agensgraphwww.databricks.comwww.esgyn.cnazure.microsoft.com/­en-us/­products/­azure-sql/­databaserdf4j.org
Technical documentationbitnine.net/­documentationdocs.databricks.comdocs.microsoft.com/­en-us/­azure/­azure-sqlrdf4j.org/­documentation
DeveloperBitnine Global Inc.DatabricksEsgynMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162013201520102004
Current release2.1, December 2018V12
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, JavaC++Java
Server operating systemsLinux
OS X
Windows
hostedLinuxhostedLinux
OS X
Unix
Windows
Data schemedepending on used data modelFlexible Schema (defined schema, partial schema, schema free)yesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyeswith Databricks SQLyesyesno
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
Java
JavaScript
Python
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesJava Stored ProceduresTransact SQLyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication between multi datacentersyes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
AgensGraphDatabricksEsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureRDF4J infoformerly known as Sesame
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AgensGraphDatabricksEsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureRDF4J infoformerly known as Sesame
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