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DBMS > NSDb vs. Sadas Engine vs. Vertica

System Properties Comparison NSDb vs. Sadas Engine vs. Vertica

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonSadas Engine  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#360  Overall
#37  Time Series DBMS
Score0.01
Rank#351  Overall
#146  Relational DBMS
Score20.57
Rank#35  Overall
#21  Relational DBMS
Websitensdb.iowww.sadasengine.comwww.vertica.com
Technical documentationnsdb.io/­Architecturewww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperSADAS s.r.l.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release201720062005
Current release8.0Vertica 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 infofree trial version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono 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, ScalaC++
Server operating systemsLinux
macOS
AIX
Linux
Windows
Linux
Data schemeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesyes
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.nonoyes
Secondary indexesall fields are automatically indexedyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languageyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesJava
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
NSDbSadas EngineVertica 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
NSDbSadas EngineVertica infoVertica Analytics Platform
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Vertica to Leverage NetApp StorageGRID to Deliver Cloud-Scale Analytics to On-Premises Environments
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Vertica Accelerator is Now Available on AWS
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