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DBMS > Realm vs. SingleStore vs. Spark SQL

System Properties Comparison Realm vs. SingleStore vs. Spark SQL

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataMySQL 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 processing
Primary database modelDocument storeRelational 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
Score7.70
Rank#52  Overall
#9  Document stores
Score6.03
Rank#62  Overall
#35  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websiterealm.iowww.singlestore.comspark.apache.org/­sql
Technical documentationrealm.io/­docsdocs.singlestore.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRealm, acquired by MongoDB in May 2019SingleStore Inc.Apache Software Foundation
Initial release201420132014
Current release8.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Sourcecommercial infofree developer edition availableOpen Source infoApache 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 capabilities
Implementation languageC++, GoScala
Server operating systemsAndroid
Backend: server-less
iOS
Windows
Linux info64 bit version requiredLinux
OS X
Windows
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 indexesyesyesno
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysSQL-like DML and DDL statements
APIs and other access methodsCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
ODBC
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
Bash
C
C#
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessaryyesno
Triggersyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infohash partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculations
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 dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyesno
User concepts infoAccess controlyesFine grained access control via users, groups and rolesno
More information provided by the system vendor
RealmSingleStore infoformer name was MemSQLSpark SQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
RealmSingleStore infoformer name was MemSQLSpark SQL
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
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17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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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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29 January 2024, Blocks and Files

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3 January 2024, Acceleration Economy

SingleStore update adds new tools to fuel GenAI, analytics
24 January 2024, TechTarget

provided by Google News

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