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DBMS > AgensGraph vs. CouchDB vs. Databricks vs. PouchDB

System Properties Comparison AgensGraph vs. CouchDB vs. Databricks vs. PouchDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA 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.JavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMS
Relational DBMS
Document storeDocument store
Relational DBMS
Document store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitebitnine.net/­agensgraphcouchdb.apache.orgwww.databricks.compouchdb.com
Technical documentationbitnine.net/­documentationdocs.couchdb.org/­en/­stabledocs.databricks.compouchdb.com/­guides
DeveloperBitnine Global Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksApache Software Foundation
Initial release2016200520132012
Current release2.1, December 20183.3.3, December 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCErlangJavaScript
Server operating systemsLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemedepending on used data modelschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesnono
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.nonoyesno
Secondary indexesyesyes infovia viewsyesyes infovia views
SQL infoSupport of SQLyesnowith Databricks SQLno
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
Java
JavaScript
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyesView functions in JavaScriptuser defined functions and aggregatesView functions in JavaScript
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoimproved architecture with release 2.0Sharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseno
More information provided by the system vendor
AgensGraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksPouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AgensGraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksPouchDB
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