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DBMS > EventStoreDB vs. searchxml vs. Spark SQL vs. YottaDB

System Properties Comparison EventStoreDB vs. searchxml vs. Spark SQL vs. YottaDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.DBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processingA fast and solid embedded Key-value store
Primary database modelEvent StoreNative XML DBMS
Search engine
Relational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.eventstore.comwww.searchxml.net/­category/­productsspark.apache.org/­sqlyottadb.com
Technical documentationdevelopers.eventstore.comwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlyottadb.com/­resources/­documentation
DeveloperEvent Store Limitedinformationpartners gmbhApache Software FoundationYottaDB, LLC
Initial release2012201520142001
Current release21.2, February 20211.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC
Server operating systemsLinux
Windows
WindowsLinux
OS X
Windows
Docker
Linux
Data schemeschema-freeyesschema-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.yesnono
Secondary indexesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsby using the Octo plugin
APIs and other access methodsRESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++ infomost other programming languages supported via APIsJava
Python
R
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoon the application serverno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernooptimistic locking
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.nonoyes
User concepts infoAccess controlDomain, group and role-based access control at the document level and for application servicesnoUsers and groups based on OS-security mechanisms

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More resources
EventStoreDBsearchxmlSpark SQLYottaDB
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