DBMS > dBASE vs. Oracle Coherence vs. PouchDB vs. Snowflake vs. YTsaurus

System Properties Comparison dBASE vs. Oracle Coherence vs. PouchDB vs. Snowflake vs. YTsaurus

Editorial information provided by DB-Engines

Name

Description

dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.

Oracles in-memory data grid solution

JavaScript DBMS with an API inspired by CouchDB

Cloud-based data warehousing service for structured and semi-structured data

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Document store
Key-value store

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

Score	9.70
Rank	#44	Overall
	#28	Relational DBMS

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	2.34
Rank	#112	Overall
	#21	Document stores

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

www.dbase.com

www.oracle.com/java/coherence

pouchdb.com

www.snowflake.com

ytsaurus.tech

Technical documentation

www.dbase.com/support/knowledgebase

docs.oracle.com/en/middleware/standalone/coherence

pouchdb.com/guides

docs.snowflake.net/manuals/index.html

ytsaurus.tech/docs/en

Developer

Asthon Tate

Oracle

Apache Software Foundation

Snowflake Computing Inc.

Yandex

Initial release

1979

2007

2012

2014

2023

Current release

dBASE 2019, 2019

14.1, August 2023

7.1.1, June 2019

License

Commercial or Open Source

commercial

Open Source

commercial

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

JavaScript

C++

Server operating systems

DOS

dBase Classic
Windows

dBase Pro

All OS with a Java VM

server-less, requires a JavaScript environment (browser, Node.js)

hosted

Ubuntu

Data scheme

yes

schema-free

yes

support of semi-structured data formats (JSON, XML, Avro)

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

via views

SQL

Support of SQL

yes

YQL, an SQL-based language, is supported

APIs and other access methods

none

The IDE can access other DBMS or ODBC-sources.

JCache
JPA
RESTful HTTP API

HTTP REST

only for PouchDB Server
JavaScript API

CLI Client
JDBC
ODBC

Supported programming languages

dBase proprietary IDE

.Net
C++
Java

JavaScript

JavaScript (Node.js)
Python

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

The IDE can access stored procedures in other database systems.

View functions in JavaScript

user defined functions

Triggers

yes

Live Events

yes

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

with a proxy-based framework, named couchdb-lounge

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes, with selectable consistency level

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

not for dBase internal data, but IDE does support transactions when accessing external DBMS

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes

by using IndexedDB, WebSQL or LevelDB as backend

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 and roles

authentification to access the cache via certificates or http basic authentication

Users with fine-grained authorization concept, user roles and pluggable authentication

Access Control Lists

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