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DBMS > 4D vs. Microsoft Azure Data Explorer vs. Teradata Aster vs. TerminusDB vs. Trafodion

System Properties Comparison 4D vs. Microsoft Azure Data Explorer vs. Teradata Aster vs. TerminusDB vs. Trafodion

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTrafodion  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemFully managed big data interactive analytics platformPlatform for big data analytics on multistructured data sources and typesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMS infocolumn orientedRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.4d.comazure.microsoft.com/­services/­data-explorerterminusdb.comtrafodion.apache.org
Technical documentationdeveloper.4d.comdocs.microsoft.com/­en-us/­azure/­data-explorerterminusdb.github.io/­terminusdb/­#trafodion.apache.org/­documentation.html
Developer4D, IncMicrosoftTeradataDataChemist Ltd.Apache Software Foundation, originally developed by HP
Initial release19842019200520182014
Current releasev20, April 2023cloud service with continuous releases11.0.0, January 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageProlog, RustC++, Java
Server operating systemsOS X
Windows
hostedLinuxLinuxLinux
Data schemeyesFixed schema with schema-less datatypes (dynamic)Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyesyes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-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.yesyesyes infoin Aster File Storenono
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLyes infoclose to SQL 92Kusto Query Language (KQL), SQL subsetyesSQL-like query language (WOQL)yes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Java
Python
R
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesYes, possible languages: KQL, Python, RR packagesyesJava Stored Procedures
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Journaling Streamsyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyes infoSQL Map-Reduce Frameworknoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
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 groupsAzure Active Directory Authenticationfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionMicrosoft Azure Data ExplorerTeradata AsterTerminusDB infoformer name was DataChemistTrafodion
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