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DBMS > DuckDB vs. Spark SQL vs. STSdb vs. VelocityDB

System Properties Comparison DuckDB vs. Spark SQL vs. STSdb vs. VelocityDB

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSSpark 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 .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSKey-value storeGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.68
Rank#76  Overall
#41  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websiteduckdb.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4velocitydb.com
Technical documentationduckdb.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperApache Software FoundationSTS Soft SCVelocityDB Inc
Initial release2018201420112011
Current release0.10, February 20243.5.0 ( 2.13), September 20234.0.8, September 20157.x
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC#C#
Server operating systemsserver-lessLinux
OS X
Windows
WindowsAny that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 SQLyesSQL-like DML and DDL statementsnono
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
.NET Client API.Net
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Java
Python
R
Scala
C#
Java
.Net
Server-side scripts infoStored proceduresnononono
TriggersnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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 controlnononoBased on Windows Authentication

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More resources
DuckDBSpark SQLSTSdbVelocityDB
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