DBMS > CouchDB vs. H2GIS vs. Impala vs. SAP HANA

System Properties Comparison CouchDB vs. H2GIS vs. Impala vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.

Spatial extension of H2

Analytic DBMS for Hadoop

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Document store

Spatial DBMS

Relational DBMS

Secondary database models

Spatial DBMS

using the Geocouch extension

Relational DBMS

Document store

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	16.97
Rank	#41	Overall
	#7	Document stores

Score	0.03
Rank	#335	Overall
	#4	Spatial DBMS

Score	18.03
Rank	#40	Overall
	#25	Relational DBMS

Score	55.09
Rank	#21	Overall
	#13	Relational DBMS

Website

couchdb.apache.org

www.h2gis.org

www.cloudera.com/products/open-source/apache-hadoop/impala.html

www.sap.com/products/hana.html

Technical documentation

docs.couchdb.org/en/stable

www.h2gis.org/docs/home

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

help.sap.com/hana

Developer

Apache Software Foundation

Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer

CNRS

Cloudera

SAP

Initial release

2005

2013

2010

Current release

3.2.2, April 2022

4.0.0, July 2021

2.0 SPS05 (June 26, 2020), June 2020

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

LGPL 3.0

Open Source

Apache Version 2

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Erlang

Java

C++

Server operating systems

Android
BSD
Linux
OS X
Solaris
Windows

Linux

Appliance or cloud-service

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

via views

yes

SQL

Support of SQL

yes

SQL-like DML and DDL statements

yes

APIs and other access methods

RESTful HTTP/JSON API

JDBC
ODBC

Supported programming languages

C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk

Java

All languages supporting JDBC/ODBC

Server-side scripts

Stored procedures

View functions in JavaScript

yes

based on H2

yes

user defined functions and integration of map-reduce

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

improved architecture with release 2.0

none

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

based on H2

selectable replication factor

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

atomic operations within a single document possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

strategy: optimistic locking

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights for users can be defined per database

yes

based on H2

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

yes

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