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DBMS > EsgynDB vs. Microsoft Azure Synapse Analytics vs. NSDb vs. VictoriaMetrics

System Properties Comparison EsgynDB vs. Microsoft Azure Synapse Analytics vs. NSDb vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, 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
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.esgyn.cnazure.microsoft.com/­services/­synapse-analyticsnsdb.iovictoriametrics.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperEsgynMicrosoftVictoriaMetrics
Initial release2015201620172018
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++, JavaC++Java, 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.nononono
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesyesSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
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.NetC#
Java
PHP
Java
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresTransact SQLnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing 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-standardyes

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More resources
EsgynDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbVictoriaMetrics
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