DBMS > etcd vs. UniData,UniVerse

System Properties Comparison etcd vs. UniData,UniVerse

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Editorial information provided by DB-Engines

Name

Description

A distributed reliable key-value store

MultiValue database and application server with SQL mapping layer and meta database capabilities

Primary database model

Key-value store

Multivalue DBMS

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

Score	9.22
Rank	#47	Overall
	#6	Key-value stores

Score	3.74
Rank	#84	Overall
	#2	Multivalue DBMS

Website

etcd.io
github.com/etcd-io/etcd

www.rocketsoftware.com/products/rocket-u2

Technical documentation

etcd.io/docs
github.com/etcd-io/etcd/tree/master/Documentation

www.rocketsoftware.com/products/rocket-u2/documentation

Developer

Rocket Software

Initial release

1985

Current release

3.4, August 2019

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

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

Server operating systems

FreeBSD
Linux
Windows

experimental

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

optional

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

SQL

Support of SQL

yes

APIs and other access methods

gRPC
JSON over HTTP

Java API

JPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API

Supported programming languages

.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl

.Net
Basic

U2 Basic
C
Java

Server-side scripts

Stored procedures

yes

Triggers

yes, watching key changes

yes

U2 Basic

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

configurable

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.

User concepts

Access control

Access rights according to SQL-standard and operating system based

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More resources

Recent citations in the news

Distributed Key-Value Store etcd Graduates at CNCF
29 November 2020, InfoQ.com

Advisory On TCD Licensing During Stay At Home
15 April 2021, Bernews

Cloud Native Computing Foundation Announces etcd Graduation
24 November 2020, PRNewswire

etcd Data Store Project Key to Scaling Kubernetes Clusters
8 September 2020, Container Journal

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14 April 2021, Security Boulevard

provided by Google News

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14 April 2021, PR Web

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24 March 2021, Database Trends and Applications

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13 April 2021, SoccerNurds

UniData
5 March 2019, International Spectrum Magazine

provided by Google News

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