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DBMS > 4D vs. Blazegraph vs. GridGain vs. Microsoft Azure Synapse Analytics

System Properties Comparison 4D vs. Blazegraph vs. GridGain vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBlazegraph  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionApplication development environment with integrated database management systemHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.GridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.4d.comblazegraph.comwww.gridgain.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdeveloper.4d.comwiki.blazegraph.comwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analytics
Developer4D, IncBlazegraphGridGain Systems, Inc.Microsoft
Initial release1984200620072016
Current releasev20, April 20232.1.5, March 2019GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++
Server operating systemsOS X
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyes
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.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyesyesyes (compute grid and cache interceptors can be used instead)Transact SQL
Triggersyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in Graphsnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.noyes
User concepts infoAccess controlUsers and groupsSecurity and Authentication via Web Application Container (Tomcat, Jetty)Security Hooks for custom implementationsyes

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More resources
4D infoformer name: 4th DimensionBlazegraphGridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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