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DBMS > SiriDB vs. Spark SQL vs. VelocityDB vs. YTsaurus

System Properties Comparison SiriDB vs. Spark SQL vs. VelocityDB vs. YTsaurus

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Editorial information provided by DB-Engines
NameSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)YTsaurus is an open source platform for distributed storage and processing.
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitesiridb.comspark.apache.org/­sqlvelocitydb.comytsaurus.tech
Technical documentationdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuideytsaurus.tech/­docs/­en
DeveloperCesbitApache Software FoundationVelocityDB IncYandex
Initial release2017201420112023
Current release3.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC#C++
Server operating systemsLinuxLinux
OS X
Windows
Any that supports .NETUbuntu
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes infoNumeric datayesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoYQL, an SQL-based language, is supported
APIs and other access methodsHTTP APIJDBC
ODBC
.Net
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
.NetC++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonono
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.yesnoyes
User concepts infoAccess controlsimple rights management via user accountsnoBased on Windows AuthenticationAccess Control Lists

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More resources
SiriDBSpark SQLVelocityDBYTsaurus
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