DBMS > Citus vs. Teradata

System Properties Comparison Citus vs. Teradata

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Our visitors often compare Citus and Teradata with PostgreSQL, Greenplum and Amazon Redshift.

Editorial information provided by DB-Engines

Name

Description

Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Relational DBMS

Secondary database models

Document store

Document store
Graph DBMS
Time Series DBMS

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Score	1.00
Rank	#152	Overall
	#73	Relational DBMS

Score	78.29
Rank	#15	Overall
	#10	Relational DBMS

Website

www.citusdata.com

www.teradata.com

Technical documentation

docs.citusdata.com

docs.teradata.com

Developer

Teradata

Initial release

2010

1984

Current release

8.1, December 2018

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

Open Source info

AGPL, commercial license also available

commercial

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

Server operating systems

Linux

hosted
Linux

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

specific XML type available, but no XML query functionality

yes

Secondary indexes

yes

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

yes

standard, with numerous extensions

yes

SQL 2016 + extensions

APIs and other access methods

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts info

Stored procedures

user defined functions info

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Hashing

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-slave replication info

other methods possible by using 3rd party extensions

Master-master replication
Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

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