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DBMS > atoti vs. CouchDB vs. Databricks

System Properties Comparison atoti vs. CouchDB vs. Databricks

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A 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.
Primary database modelObject oriented DBMSDocument storeDocument store
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websiteatoti.iocouchdb.apache.orgwww.databricks.com
Technical documentationdocs.atoti.iodocs.couchdb.org/­en/­stabledocs.databricks.com
DeveloperActiveViamApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricks
Initial release20052013
Current release3.3.3, December 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlang
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateno
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 indexesyes infovia viewsyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nowith Databricks SQL
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP 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
Server-side scripts infoStored proceduresPythonView functions in JavaScriptuser defined functions and aggregates
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users can be defined per database
More information provided by the system vendor
atotiCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Databricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Databricks
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