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DBMS > GBase vs. Vertica

System Properties Comparison GBase vs. Vertica

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
GBase seems to be discontinued and will be removed from the DB-Engines ranking
DescriptionAn analytical database for business intelligence with large customers in China.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.17
Rank#30  Overall
#18  Relational DBMS
Websitewww.gbase.cnwww.vertica.com
Technical documentationwww.vertica.com/­documentation/­vertica
DeveloperVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2005
Current releaseGBase 8aVertica 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.
Server operating systemsLinux
Data schemeyes 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.yes
Secondary indexesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes 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 languagesC++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
GBaseVertica 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
GBaseVertica infoVertica Analytics Platform
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