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DBMS > CouchDB vs. Databricks vs. Datomic vs. jBASE

System Properties Comparison CouchDB vs. Databricks vs. Datomic vs. jBASE

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonjBASE  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument storeDocument store
Relational DBMS
Relational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitecouchdb.apache.orgwww.databricks.comwww.datomic.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationdocs.couchdb.org/­en/­stabledocs.databricks.comdocs.datomic.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksCognitectRocket Software (formerly Zumasys)
Initial release2005201320121991
Current release3.3.3, December 20231.0.6735, June 20235.7
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava, Clojure
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VMAIX
Linux
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyesoptional
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.noyesnoyes
Secondary indexesyes infovia viewsyesyes
SQL infoSupport of SQLnowith Databricks SQLnoEmbedded SQL for jBASE in BASIC
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
Clojure
Java
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functions and aggregatesyes infoTransaction Functionsyes
TriggersyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone infoBut extensive use of caching in the application peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoAccess rights can be defined down to the item level
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksDatomicjBASE
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksDatomicjBASE
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