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DBMS > DataChemist vs. Google BigQuery

System Properties Comparison DataChemist vs. Google BigQuery

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Editorial information provided by DB-Engines
NameDataChemist  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsLarge scale data warehouse service with append-only tables
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
Score24.47
Rank#28  Overall
#16  Relational DBMS
Websitewww.datachemist.comcloud.google.com/­bigquery
Technical documentationwww.datachemist.com/­images/­uploads/­general/­Evolving_MeaningfulValuefromEnterpriseData.pdfcloud.google.com/­bigquery/­docs
DeveloperDataChemist Ltd.Google
Initial release20182010
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.nono
Secondary indexesno
SQL infoSupport of SQLSQL-like query language (WOQL)yes
APIs and other access methodsOWL
RESTful HTTP API
WOQL (DataChemist Query Language)
RESTful HTTP/JSON API
Supported programming languagesJavaScript
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScript
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying data
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 controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)

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More resources
DataChemistGoogle BigQuery
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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

Dublin start-up chosen to work on global peace initiative
7 January 2019, The Irish Times

'If data is the new oil, DataChemist is the refinery'
27 August 2018, RTÉ News

Tánaiste Simon Coveney Launches DataChemist, Trinity College Dublin Technology Spin-out
28 August 2018, Irish Tech News

Why the Graph Database Can Bring New Efficiencies to the Grid
25 June 2019, Transmission & Distribution World

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23 March 2016, ZDNet

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