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DBMS > DataChemist vs. Vertica

System Properties Comparison DataChemist vs. Vertica

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Editorial information provided by DB-Engines
NameDataChemist  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelGraph DBMSRelational DBMS
Secondary database modelsRDF storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#305  Overall
#31  Graph DBMS
Score23.80
Rank#29  Overall
#17  Relational DBMS
Websitewww.datachemist.comwww.vertica.com
Technical documentationwww.datachemist.com/­images/­uploads/­general/­Evolving_MeaningfulValuefromEnterpriseData.pdfwww.vertica.com/­documentation/­vertica
DeveloperDataChemist Ltd.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release20182005
Current release1.0, 2018Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageProlog
Server operating systemsLinuxLinux
Data schemeyesyes infoUnstructured data can be stored in specific Flex-Tables
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
Secondary indexesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query language (WOQL)yes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsOWL
RESTful HTTP API
WOQL (DataChemist Query Language)
Kafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScript
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesGraph PartitioningSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesJournaling StreamsMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoin-memory journalingyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
DataChemistVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DataChemistVertica infoVertica Analytics Platform
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

E.T. Hunt Shouldn't Be Limited to Earth-like Life, Scientists Say
5 August 2019, Space.com

provided by Google News

The Current State of Database Technology (VIDEO)
20 August 2019, Database Trends and Applications

F&S Whitepaper: How Vertica Helping FSIs Take on Big Data - and Win
29 July 2019, Database Trends and Applications

Microsoft and Informatica make coordinated data warehouse migration move
6 August 2019, ZDNet

You Can't Do Machine Learning Inside a Database. Can You?
1 April 2019, Datanami

GoodData Expands Its Open Cloud Strategy with Vertica Partnership
12 March 2019, GlobeNewswire

provided by Google News

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