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DBMS > OpenQM vs. Vertica

System Properties Comparison OpenQM vs. Vertica

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#269  Overall
#11  Multivalue DBMS
Score19.90
Rank#35  Overall
#21  Relational DBMS
Websitewww.openqm.comwww.vertica.com
Technical documentationwww.openqm.com/­support/­documentationwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperMartin PhillipsVertica / Micro Focus infoprior to that Hewlett Packard
Initial release19932005
Current release3.4-12Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeyes infowith some exceptionsyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes
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.yesyes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
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 persistentyesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
OpenQM infoalso called QMVertica 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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More resources
OpenQM infoalso called QMVertica infoVertica Analytics Platform
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