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DBMS > CouchDB vs. Databricks vs. Dolt vs. ObjectBox vs. XTDB

System Properties Comparison CouchDB vs. Databricks vs. Dolt vs. ObjectBox vs. XTDB

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonDolt  Xexclude from comparisonObjectBox  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A MySQL compatible DBMS with Git-like versioning of data and schemaExtremely fast embedded database for small devices, IoT and MobileA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeDocument store
Relational DBMS
Relational DBMSObject oriented DBMSDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitecouchdb.apache.orgwww.databricks.comgithub.com/­dolthub/­dolt
www.dolthub.com
objectbox.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.couchdb.org/­en/­stabledocs.databricks.comdocs.dolthub.comdocs.objectbox.iowww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksDoltHub IncObjectBox LimitedJuxt Ltd.
Initial release20052013201820172019
Current release3.3.3, December 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangGoC and C++Clojure
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
Android
iOS
Linux
macOS
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes, 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.noyesnonono
Secondary indexesyes infovia viewsyesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
CLI Client
HTTP REST
Proprietary native APIHTTP REST
JDBC
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Clojure
Java
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functions and aggregatesyes infocurrently in alpha releasenono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0nonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.online/offline synchronization between client and serveryes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users can be defined per databaseOnly one user is configurable, and must be specified in the config file at startupyes
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksDoltObjectBoxXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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