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

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

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparisonSTSdb  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisKey-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
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websitespark.apache.org/­sqlwww.starrocks.iogithub.com/­STSSoft/­STSdb4velocitydb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introvelocitydb.com/­UserGuide
DeveloperApache Software FoundationThe Linux Foundation infosince Feb 2023STS Soft SCVelocityDB Inc
Initial release2014202020112011
Current release3.5.0 ( 2.13), September 20233.3, June 20244.0.8, September 20157.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 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 languageScalaC++, JavaC#C#
Server operating systemsLinux
OS X
Windows
LinuxWindowsAny 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 indexesnoyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
ODBC
JDBC
MySQL protocol
.NET Client API.Net
Supported programming languagesJava
Python
R
Scala
JavaC#
Java
.Net
Server-side scripts infoStored proceduresnouser defined functionsnono
TriggersnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning (by range and hash)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
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 datanononoACID
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.nonoyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsnoBased on Windows Authentication

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More resources
Spark SQLStarRocksSTSdbVelocityDB
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