DBMS > CouchDB vs. GeoSpock vs. Impala

System Properties Comparison CouchDB vs. GeoSpock vs. Impala

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Editorial information provided by DB-Engines
Name	CouchDB stands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparison	GeoSpock  Xexclude from comparison	Impala  Xexclude from comparison
Description	A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.	Spatial and temporal data processing engine for extreme data scale	Analytic DBMS for Hadoop
Primary database model	Document store	Relational DBMS	Relational DBMS
Secondary database models	Spatial DBMS using the Geocouch extension	Time Series DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 17.16 Rank #41   Overall #7   Document stores	Score 0.15 Rank #302   Overall #139   Relational DBMS	Score 17.79 Rank #40   Overall #25   Relational DBMS
Website	couchdb.apache.org	geospock.com	www.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentation	docs.couchdb.org/­en/­stable	docs.geospock.com/­Content/­Home.htm	docs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
Developer	Apache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer	GeoSpock	Cloudera
Initial release	2005		2013
Current release	3.2.2, April 2022	2.0, September 2019	4.0.0, July 2021
License Commercial or Open Source	Open Source Apache version 2	commercial	Open Source Apache Version 2
Cloud-based only Only available as a cloud service	no	yes	no
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Implementation language	Erlang	Java, Javascript	C++
Server operating systems	Android BSD Linux OS X Solaris Windows	hosted	Linux
Data scheme	schema-free	yes	yes
Typing predefined data types such as float or date	no	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no
Secondary indexes	yes via views	temporal, categorical	yes
SQL Support of SQL	no	ANSI SQL for query only (using Presto)	SQL-like DML and DDL statements
APIs and other access methods	RESTful HTTP/JSON API	JDBC	JDBC ODBC
Supported programming languages	C C# ColdFusion Erlang Haskell Java JavaScript Lisp Lua Objective-C OCaml Perl PHP PL/SQL Python Ruby Smalltalk		All languages supporting JDBC/ODBC
Server-side scripts Stored procedures	View functions in JavaScript	no	yes user defined functions and integration of map-reduce
Triggers	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding improved architecture with release 2.0	Automatic sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication		selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	yes query execution via MapReduce
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no atomic operations within a single document possible	no	no
Concurrency Support for concurrent manipulation of data	yes strategy: optimistic locking	yes	yes
Durability Support for making data persistent	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	no
User concepts Access control	Access rights for users can be defined per database	Access rights for users can be defined per table	Access rights for users, groups and roles based on Apache Sentry and Kerberos
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More resources
	CouchDB stands for "Cluster Of Unreliable Commodity Hardware"	GeoSpock	Impala
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