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DBMS > Realm vs. Spark SQL vs. YDB

System Properties Comparison Realm vs. Spark SQL vs. YDB

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.60
Rank#52  Overall
#9  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiterealm.iospark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperRealm, acquired by MongoDB in May 2019Apache Software FoundationYandex
Initial release201420142019
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemsAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
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 SQLnoSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessarynono
Triggersyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yes infoIn-Memory realmnono
User concepts infoAccess controlyesnoAccess rights defined for Yandex Cloud users

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