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DBMS > EventStoreDB vs. Spark SQL

System Properties Comparison EventStoreDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonSpark SQL  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 processing
Primary database modelEvent StoreRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#189  Overall
#1  Event Stores
Score21.87
Rank#34  Overall
#20  Relational DBMS
Websitewww.eventstore.comspark.apache.org/­sql
Technical documentationdevelopers.eventstore.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEvent Store LimitedApache Software Foundation
Initial release20122014
Current release21.2, February 20213.1.1, March 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Event Store Cloud allows you to deploy a managed EventStoreDB cluster in AWS, GCP and Azure (coming soon).
Implementation languageScala
Server operating systemsLinux
Windows
Linux
OS X
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesno
SQL infoSupport of SQLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Supported programming languagesJava
Python
R
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno
More information provided by the system vendor
EventStoreDBSpark SQL
Specific characteristicsGuaranteed writes Great performance that scales Immutable data store High availability...
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Competitive advantagesEventStoreDB's core database server is used in production systems worldwide. The...
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Typical application scenariosEvent-sourced systems Event-driven architecture
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Key customersEventStoreDB is used by companies across a whole range of industries. Here are just...
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Licensing and pricing modelsAvailable as open-source software and licensed under the 3-clause BSD license ( https://github.com/EventStore/EventStore/blob/master/LICENSE.md...
» more

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3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
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More resources
EventStoreDBSpark SQL
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