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DBMS > Vertica vs. XAP

System Properties Comparison Vertica vs. XAP

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Editorial information provided by DB-Engines
NameVertica infoVertica Analytics Platform  Xexclude from comparisonXAP  Xexclude from comparison
DescriptionColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performanceHigh performant in-memory data grid for mission critical applications. Insight Edge from the same company extends XAP for AI/ML support, BI and other interfaces
Primary database modelRelational DBMSDocument store
Key-value store infoValues are user defined objects
Secondary database modelsDocument storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.92
Rank#31  Overall
#18  Relational DBMS
Score1.01
Rank#170  Overall
#27  Document stores
#31  Key-value stores
Websitewww.vertica.comwww.gigaspaces.com/­products/­xap
Technical documentationwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htmdocs.gigaspaces.com/­latest/­landing.html
DeveloperVertica / Micro Focus infoprior to that Hewlett PackardGigaspaces Technologies
Initial release20052000
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
14.5.0, June 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud serviceno infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platformno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Data schemeyes infoUnstructured data can be stored in specific Flex-Tablesschema-free
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.yesno infoXML can be used for describing objects metadata
Secondary indexesno infoThe concept of 'projections' can be used instead of indexes.yes
SQL infoSupport of SQLyes infonearly full SQL99 without support for indexes and triggersSQL-like query language and DML statements
APIs and other access methodsADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC++
Java
Perl
Python
R
.Net
C++
Java
Server-side scripts infoStored proceduresyesyes
Triggersnoyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoSegmentation, Projection Segmentation, Hash SegmentationSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoCluster level and Object level replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infowith Vertica Connector for Hadoopyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyesno
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashRole-based access control
More information provided by the system vendor
Vertica infoVertica Analytics PlatformXAP
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
Vertica infoVertica Analytics PlatformXAP
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