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DBMS > 4D vs. Microsoft Azure Synapse Analytics vs. SiteWhere vs. Trafodion vs. TypeDB

System Properties Comparison 4D vs. Microsoft Azure Synapse Analytics vs. SiteWhere vs. Trafodion vs. TypeDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSiteWhere  Xexclude from comparisonTrafodion  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerM2M integration platform for persisting/querying time series dataTransactional SQL-on-Hadoop DBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.4d.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­sitewhere/­sitewheretrafodion.apache.orgtypedb.com
Technical documentationdeveloper.4d.comdocs.microsoft.com/­azure/­synapse-analyticssitewhere1.sitewhere.io/­index.htmltrafodion.apache.org/­documentation.htmltypedb.com/­docs
Developer4D, IncMicrosoftSiteWhereApache Software Foundation, originally developed by HPVaticle
Initial release19842016201020142016
Current releasev20, April 20232.3.0, February 20192.26.3, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0Open Source infoGPL Version 3, 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 languageC++JavaC++, JavaJava
Server operating systemsOS X
Windows
hostedLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyesyespredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesnoyesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
ODBC
HTTP RESTADO.NET
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages4D proprietary IDE
PHP
C#
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesTransact SQLJava Stored Proceduresno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningSharding infobased on HBaseShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesselectable replication factor infobased on HBaseyes, via HBaseMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBaseyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
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.nononono
User concepts infoAccess controlUsers and groupsyesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
4D infoformer name: 4th DimensionMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiteWhereTrafodionTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
4D infoformer name: 4th DimensionMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiteWhereTrafodionTypeDB infoformerly named Grakn
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