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DBMS > EventStoreDB vs. XTDB

System Properties Comparison EventStoreDB vs. XTDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelEvent StoreDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#181  Overall
#1  Event Stores
Score0.12
Rank#337  Overall
#46  Document stores
Websitewww.eventstore.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdevelopers.eventstore.comwww.xtdb.com/­docs
DeveloperEvent Store LimitedJuxt Ltd.
Initial release20122019
Current release21.2, February 20211.19, September 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageClojure
Server operating systemsLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-free
Typing infopredefined data types such as float or dateyes, extensible-data-notation format
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 indexesyes
SQL infoSupport of SQLlimited SQL, making use of Apache Calcite
APIs and other access methodsHTTP REST
JDBC
Supported programming languagesClojure
Java
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

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