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DBMS > EsgynDB vs. NSDb vs. searchxml vs. VictoriaMetrics

System Properties Comparison EsgynDB vs. NSDb vs. searchxml vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonNSDb  Xexclude from comparisonsearchxml  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDBMS for structured and unstructured content wrapped with an application serverA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSTime Series DBMSNative XML DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.esgyn.cnnsdb.iowww.searchxml.net/­category/­productsvictoriametrics.com
Technical documentationnsdb.io/­Architecturewww.searchxml.net/­support/­handoutsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperEsgyninformationpartners gmbhVictoriaMetrics
Initial release2015201720152018
Current release1.0v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava, ScalaC++Go
Server operating systemsLinuxLinux
macOS
WindowsFreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes: 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.nonoyesno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infoon the application serverno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infosychronisation to multiple collectionsSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
EsgynDBNSDbsearchxmlVictoriaMetrics
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