DBMS > Hive vs. Ingres vs. MaxDB vs. PostGIS

System Properties Comparison Hive vs. Ingres vs. MaxDB vs. PostGIS

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Editorial information provided by DB-Engines

Name

Description

data warehouse software for querying and managing large distributed datasets, built on Hadoop

Well established RDBMS

A robust and reliable RDBMS optimized to run all major SAP solutions

Spatial extension of PostgreSQL

Primary database model

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	61.17
Rank	#18	Overall
	#12	Relational DBMS

Score	4.11
Rank	#81	Overall
	#44	Relational DBMS

Score	2.32
Rank	#112	Overall
	#55	Relational DBMS

Score	22.69
Rank	#29	Overall
	#1	Spatial DBMS

Website

hive.apache.org

www.actian.com/databases/ingres

maxdb.sap.com

postgis.net

Technical documentation

cwiki.apache.org/confluence/display/Hive/Home

docs.actian.com/ingres

maxdb.sap.com/documentation

postgis.net/documentation

Developer

Apache Software Foundation

initially developed by Facebook

Actian Corporation

SAP, acquired from Software AG (Adabas-D) in 1997

Initial release

2012

1974

originally developed at University Berkely in early 1970s

1984

2005

Current release

3.1.3, April 2022

11.2, May 2022

7.9.10.12, February 2024

3.4.2, February 2024

License

Commercial or Open Source

Open Source

Apache Version 2

commercial

Limited community edition free

Open Source

GPL v2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

All OS with a Java VM

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

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.

but tools for importing/exporting data from/to XML-files available

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

APIs and other access methods

JDBC
ODBC
Thrift

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

ADO.NET
JDBC
ODBC
WebDAV

Supported programming languages

C++
Java
PHP
Python

.Net
C#
Java
Perl
PHP
Python

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Ingres Star to access multiple databases simultaneously

none

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Ingres Replicator

Source-replica replication

yes

based on PostgreSQL

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

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.

User concepts

Access control

Access rights for users, groups and roles

fine grained access rights according to SQL-standard

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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