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DBMS > NSDb vs. Vertica

System Properties Comparison NSDb vs. Vertica

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#351  Overall
#36  Time Series DBMS
Score19.90
Rank#35  Overall
#21  Relational DBMS
Websitensdb.iowww.vertica.com
Technical documentationnsdb.io/­Architecturewww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20172005
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Scala
Server operating systemsLinux
macOS
Linux
Data schemeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyes
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 indexesall fields are automatically indexedno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languageyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesJava
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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 systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes
User concepts infoAccess controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
NSDbVertica 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
NSDbVertica infoVertica Analytics Platform
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