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

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

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Editorial information provided by DB-Engines
NameSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSDocument store
Graph DBMS
Graph DBMS
Object oriented DBMS
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
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitesiridb.comspark.apache.org/­sqlsurrealdb.comvelocitydb.com
Technical documentationdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docsvelocitydb.com/­UserGuide
DeveloperCesbitApache Software FoundationSurrealDB LtdVelocityDB Inc
Initial release2017201420222011
Current release3.5.0 ( 2.13), September 2023v1.5.0, May 20247.x
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Sourcecommercial
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 languageCScalaRustC#
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Windows
Any that supports .NET
Data schemeyesyesschema-freeyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsHTTP APIJDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
.Net
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
.Net
Server-side scripts infoStored proceduresnonono
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 accountsnoyes, based on authentication and database rulesBased on Windows Authentication

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More resources
SiriDBSpark SQLSurrealDBVelocityDB
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