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DBMS > DataChemist vs. Microsoft Azure Data Explorer

System Properties Comparison DataChemist vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameDataChemist  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsFully managed big data interactive analytics platform
Primary database modelGraph DBMSRelational DBMS
Secondary database modelsRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#305  Overall
#31  Graph DBMS
Score1.94
Rank#118  Overall
#61  Relational DBMS
Websitewww.datachemist.comazure.microsoft.com/­services/­data-explorer
Technical documentationwww.datachemist.com/­images/­uploads/­general/­Evolving_MeaningfulValuefromEnterpriseData.pdfdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperDataChemist Ltd.Microsoft
Initial release20182019
Current release1.0, 2018
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageProlog
Server operating systemsLinuxhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.noyes
SQL infoSupport of SQLSQL-like query language (WOQL)Kusto Query Language (KQL), SQL subset
APIs and other access methodsOWL
RESTful HTTP API
WOQL (DataChemist Query Language)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesJavaScript
Python
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyesYes. Languages: KQL, Python, R
TriggersyesTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.
Partitioning methods infoMethods for storing different data on different nodesGraph PartitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesJournaling Streamsyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRole-based access controlAzure Active Directory Authentication

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More resources
DataChemistMicrosoft Azure Data Explorer
Recent citations in the news

DataChemist wants to make sense of big-picture intelligence in the data analytics 'arms race'
7 March 2019, Fora.ie

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Tánaiste Simon Coveney Launches DataChemist, Trinity College Dublin Technology Spin-out
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16 August 2019, The Jerusalem Post

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20 February 2019, eWeek

provided by Google News

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