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DBMS > ITTIA vs. Spark SQL vs. StarRocks

System Properties Comparison ITTIA vs. Spark SQL vs. StarRocks

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Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingSpark 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 Doris
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitewww.ittia.comspark.apache.org/­sqlwww.starrocks.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperITTIA L.L.C.Apache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release200720142020
Current release8.73.5.0 ( 2.13), September 20232.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++ScalaC++, Java
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
Data schemeFixed schemayesyes
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyes
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 SQLyesSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesC
C++
JavaScript (Node.js)
Python
Java
Python
R
Scala
Java
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlDatabase file passwordsnoRole based access control and fine grained access rights

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More resources
ITTIASpark SQLStarRocks
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