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DBMS > EventStoreDB vs. searchxml vs. Sphinx vs. SurrealDB

System Properties Comparison EventStoreDB vs. searchxml vs. Sphinx vs. SurrealDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  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 serverOpen source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelEvent StoreNative XML DBMS
Search engine
Search engineDocument store
Graph DBMS
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
Score5.95
Rank#55  Overall
#5  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.eventstore.comwww.searchxml.net/­category/­productssphinxsearch.comsurrealdb.com
Technical documentationdevelopers.eventstore.comwww.searchxml.net/­support/­handoutssphinxsearch.com/­docssurrealdb.com/­docs
DeveloperEvent Store Limitedinformationpartners gmbhSphinx Technologies Inc.SurrealDB Ltd
Initial release2012201520012022
Current release21.2, February 20211.03.5.1, February 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source
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++C++Rust
Server operating systemsLinux
Windows
WindowsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes
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.yes
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsRESTful HTTP API
WebDAV
XQuery
XSLT
Proprietary protocolGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++ infomost other programming languages supported via APIsC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoon the application serverno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 writernoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlDomain, group and role-based access control at the document level and for application servicesnoyes, based on authentication and database rules

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More resources
EventStoreDBsearchxmlSphinxSurrealDB
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