DBMS > CockroachDB vs. EsgynDB vs. Teradata vs. Trafodion

System Properties Comparison CockroachDB vs. EsgynDB vs. Teradata vs. Trafodion

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Editorial information provided by DB-Engines

Name

Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.

Description

CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

A hybrid cloud data analytics software platform (Teradata Vantage)

Transactional SQL-on-Hadoop DBMS

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	4.74
Rank	#67	Overall
	#36	Relational DBMS

Score	0.15
Rank	#325	Overall
	#144	Relational DBMS

Score	41.47
Rank	#22	Overall
	#15	Relational DBMS

Website

www.cockroachlabs.com

www.esgyn.cn

www.teradata.com

trafodion.apache.org

Technical documentation

www.cockroachlabs.com/docs

docs.teradata.com

trafodion.apache.org/documentation.html

Developer

Cockroach Labs

Esgyn

Teradata

Apache Software Foundation, originally developed by HP

Initial release

2015

1984

2014

Current release

24.1.0, May 2024

Teradata Vantage 1.0 MU2, January 2019

2.3.0, February 2019

License

Commercial or Open Source

Open Source

Apache 2.0, commercial license available

commercial

Open Source

Apache 2.0

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

C++, Java

Server operating systems

Linux
macOS
Windows

Linux

hosted
Linux

Linux

Data scheme

dynamic schema

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.

yes

Secondary indexes

yes

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

yes

SQL

Support of SQL

yes, wire compatible with PostgreSQL

yes

SQL 2016 + extensions

yes

APIs and other access methods

JDBC

ADO.NET
JDBC
ODBC

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

ADO.NET
JDBC
ODBC

Supported programming languages

C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust

All languages supporting JDBC/ODBC/ADO.Net

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

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

Java Stored Procedures

yes

UDFs, stored procedures, table functions in parallel

Java Stored Procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by key range)

all tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT

Sharding

Hashing

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication using RAFT

Multi-source replication between multi datacenters

Multi-source replication
Source-replica replication

yes, via HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via user defined functions and HBase

Consistency concepts

Methods to ensure consistency in a distributed system

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

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

Role-based access control

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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Recent citations in the news

Cockroach Labs shakes up its licensing to force bigger companies to pay
15 August 2024, TechCrunch

CockroachDB scuttles away from open source Core offering
19 August 2024, The Register

CockroachDB retires self-hosted Core offering, makes Enterprise version free for companies under $10M in annual revenue
15 August 2024, SDTimes.com

Cockroach Labs Deepens Partnership with Google Cloud, CockroachDB Selected to Join Google Distributed Cloud
9 April 2024, PR Newswire

Now CockroachDB Ditches Open-Source License
20 August 2024, It's FOSS News

provided by Google News

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17 September 2024, ITPro

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19 September 2024, AOL

Teradata ClearScape Analytics update targets ROI on AI, ML
17 September 2024, TechTarget

Teradata’s ClearScape Analytics Enhancements Will Speed up AI Projects & Lower Costs
18 September 2024, insideBIGDATA

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19 September 2024, MarketBeat

provided by Google News

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