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DBMS > Apache IoTDB vs. EventStoreDB vs. searchxml vs. SurrealDB

System Properties Comparison Apache IoTDB vs. EventStoreDB vs. searchxml vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkIndustrial-strength, open-source database solution built from the ground up for event sourcing.DBMS for structured and unstructured content wrapped with an application serverA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelTime Series DBMSEvent StoreNative XML DBMS
Search engine
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteiotdb.apache.orgwww.eventstore.comwww.searchxml.net/­category/­productssurrealdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.eventstore.comwww.searchxml.net/­support/­handoutssurrealdb.com/­docs
DeveloperApache Software FoundationEvent Store Limitedinformationpartners gmbhSurrealDB Ltd
Initial release2018201220152022
Current release1.1.0, April 202321.2, February 20211.0v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Rust
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
WindowsLinux
macOS
Windows
Data schemeyesschema-freeschema-free
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language
APIs and other access methodsJDBC
Native API
RESTful HTTP API
WebDAV
XQuery
XSLT
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++ infomost other programming languages supported via APIsDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesyes infoon the application server
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesno
User concepts infoAccess controlyesDomain, group and role-based access control at the document level and for application servicesyes, based on authentication and database rules

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More resources
Apache IoTDBEventStoreDBsearchxmlSurrealDB
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