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

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

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEventStoreDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQL.JS  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Industrial-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 JavaScript
Primary database modelRelational DBMSEvent StoreRelational DBMSRelational DBMS
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
Websitewww.eventstore.comspark.apache.org/­sqlsql.js.org
Technical documentationdevelopers.eventstore.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsql.js.org/­documentation/­index.html
DeveloperDrizzle project, originally started by Brian AkerEvent Store LimitedApache Software FoundationAlon Zakai infoenhancements implemented by others
Initial release2008201220142012
Current release7.2.4, September 201221.2, February 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen SourceOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaJavaScript
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
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.nono
Secondary indexesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsJDBCJDBC
ODBC
JavaScript API
Supported programming languagesC
C++
Java
PHP
Java
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnonono
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integrityyesnoyes
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 persistentyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnono

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More resources
DrizzleEventStoreDBSpark SQLSQL.JS
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