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DBMS > EsgynDB vs. Firebolt vs. NSDb vs. VictoriaMetrics

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

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFirebolt  Xexclude from comparisonNSDb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.esgyn.cnwww.firebolt.ionsdb.iovictoriametrics.com
Technical documentationdocs.firebolt.ionsdb.io/­Architecturedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperEsgynFirebolt Analytics Inc.VictoriaMetrics
Initial release2015202020172018
Current releasev1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava, ScalaGo
Server operating systemsLinuxhostedLinux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, string
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.nonono
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesyesSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersdepending on storage layerSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
EsgynDBFireboltNSDbVictoriaMetrics
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