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DBMS > NSDb vs. Sadas Engine vs. Vertica vs. VictoriaMetrics

System Properties Comparison NSDb vs. Sadas Engine vs. Vertica vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonSadas Engine  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparisonVictoriaMetrics  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 environmentsCloud or on-premises analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infoColumn orientedTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Score0.00
Rank#354  Overall
#152  Relational DBMS
Score19.29
Rank#38  Overall
#24  Relational DBMS
Score0.58
Rank#223  Overall
#17  Time Series DBMS
Websitensdb.iowww.sadasengine.comwww.vertica.comvictoriametrics.com
Technical documentationnsdb.io/­Architecturewww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbvertica.com/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperSADAS s.r.l.Micro Focus infoprior to that Hewlett PackardVictoriaMetrics
Initial release2017200620052018
Current release8.011.1, February 2022v1.72, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree trial version availablecommercial infoLimited community edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.
Implementation languageJava, ScalaC++C++Go
Server operating systemsLinux
macOS
AIX
Linux
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesyes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRY
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.nononono
Secondary indexesall fields are automatically indexedyesNo Indexes Required
SQL infoSupport of SQLSQL-like query languageyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJava
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes, PostgreSQL PL/pgSQL, with minor differencesno
Triggersnoyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyesyesyes
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'nono
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 PlatformVictoriaMetrics
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more
High performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesFast, scalable and capable of high concurrency. Separation of compute/storage leverages...
» more
Specifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
When the current monitoring solution can't keep up with increasing workload Kubernetes...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Grammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metrics6k stars and 100+ contributors on GitHub 45M+ downloads Thousands of active users...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more
VictoriaMetrics comes in three versions: an open source version, an Enterprise version...
» more

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NSDbSadas EngineVertica infoVertica Analytics PlatformVictoriaMetrics
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