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DBMS > Sadas Engine vs. Spark SQL vs. Transwarp ArgoDB vs. VictoriaMetrics

System Properties Comparison Sadas Engine vs. Spark SQL vs. Transwarp ArgoDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingDistributed Analytical Database to replace Hadoop+MPP hybrid architectureA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#371  Overall
#155  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score0.08
Rank#359  Overall
#153  Relational DBMS
Score1.59
Rank#162  Overall
#14  Time Series DBMS
Websitewww.sadasengine.comspark.apache.org/­sqlwww.transwarp.cn/­en/­product/­argodbvictoriametrics.com
Technical documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODBdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperSADAS s.r.l.Apache Software FoundationTranswarpVictoriaMetrics
Initial release200620142018
Current release8.03.5.0 ( 2.13), September 2023v1.91, May 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 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++ScalaGo
Server operating systemsAIX
Linux
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-standardno

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More resources
Sadas EngineSpark SQLTranswarp ArgoDBVictoriaMetrics
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