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

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

Editorial information provided by DB-Engines
NameSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  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 processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA 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 DBMSKey-value storeDocument store
Graph DBMS
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitesiridb.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4surrealdb.comvelocitydb.com
Technical documentationdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docsvelocitydb.com/­UserGuide
DeveloperCesbitApache Software FoundationSTS Soft SCSurrealDB LtdVelocityDB Inc
Initial release20172014201120222011
Current release3.5.0 ( 2.13), September 20234.0.8, September 2015v1.5.0, May 20247.x
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC#RustC#
Server operating systemsLinuxLinux
OS X
Windows
WindowsLinux
macOS
Windows
Any that supports .NET
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infoNumeric datayesyes infoprimitive types and user defined types (classes)yesyes
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 indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsHTTP APIJDBC
ODBC
.NET Client APIGraphQL
RESTful HTTP API
WebSocket
.Net
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
C#
Java
Deno
Go
JavaScript (Node.js)
Rust
.Net
Server-side scripts infoStored proceduresnononono
TriggersnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 accountsnonoyes, based on authentication and database rulesBased on Windows Authentication

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More resources
SiriDBSpark SQLSTSdbSurrealDBVelocityDB
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