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DBMS > EventStoreDB vs. Spark SQL vs. SQL.JS vs. SwayDB

System Properties Comparison EventStoreDB vs. Spark SQL vs. SQL.JS vs. SwayDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQL.JS  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Spark SQL is a component on top of 'Spark Core' for structured data processingPort of SQLite to JavaScriptAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelEvent StoreRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.eventstore.comspark.apache.org/­sqlsql.js.orgswaydb.simer.au
Technical documentationdevelopers.eventstore.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsql.js.org/­documentation/­index.html
DeveloperEvent Store LimitedApache Software FoundationAlon Zakai infoenhancements implemented by othersSimer Plaha
Initial release2012201420122018
Current release21.2, February 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open SourceOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaScriptScala
Server operating systemsLinux
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBC
ODBC
JavaScript API
Supported programming languagesJava
Python
R
Scala
JavaScriptJava
Kotlin
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonono

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More resources
EventStoreDBSpark SQLSQL.JSSwayDB
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