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DBMS > SingleStore vs. Spark SQL vs. StarRocks

System Properties Comparison SingleStore vs. Spark SQL vs. StarRocks

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Editorial information provided by DB-Engines
NameSingleStore infoformer name was MemSQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeSpark 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 modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.11
Rank#65  Overall
#37  Relational DBMS
Score19.78
Rank#36  Overall
#22  Relational DBMS
Score1.23
Rank#191  Overall
#88  Relational DBMS
Websitewww.singlestore.comspark.apache.org/­sqlwww.starrocks.io
Technical documentationdocs.singlestore.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperSingleStore Inc.Apache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release201320142020
Current release8.1, May 20233.5.0 ( 2.13), September 20232.5.3, March 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen 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

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilitiesCelerData Cloud – Realtime-analytics delivered at the push of a button
Implementation languageC++, GoScalaC++, Java
Server operating systemsLinux info64 bit version requiredLinux
OS X
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 SQLyes infobut no triggers and foreign keysSQL-like DML and DDL statementsyes
APIs and other access methodsCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesBash
C
C#
Java
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 nodesSharding infohash partitioningyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlFine grained access control via users, groups and rolesnoRole based access control and fine grained access rights
More information provided by the system vendor
SingleStore infoformer name was MemSQLSpark SQLStarRocks
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
StarRocks is an open-source, high-performance columnar analytical database that enables...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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One of the challenges of data lakehouse is to provide fast and interactive query...
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Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Real-time analytics Fraud detection System monitoring analytics User facing analytics...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Trip.com Yoozoo Zepp health Airbnb Lenovo Tencent
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
4.4k stars, 223 contributors on GitHub 971 members on Slack *a s of April 2023:
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more
Apache-2.0 license Pay-as-you-go BYOC cloud service by CelerData
» more

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More resources
SingleStore infoformer name was MemSQLSpark SQLStarRocks
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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