DBMS > jBASE vs. Pinecone vs. Transwarp KunDB

System Properties Comparison jBASE vs. Pinecone vs. Transwarp KunDB

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Editorial information provided by DB-Engines

Name

Description

A robust multi-value DBMS comprising development tools and middleware

A managed, cloud-native vector database

OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle

Primary database model

Multivalue DBMS

Vector DBMS

Relational DBMS

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

Score	1.49
Rank	#156	Overall
	#3	Multivalue DBMS

Score	3.23
Rank	#92	Overall
	#2	Vector DBMS

Score	0.14
Rank	#341	Overall
	#149	Relational DBMS

Website

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

www.pinecone.io

www.transwarp.cn/en/product/kundb

Technical documentation

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

docs.pinecone.io/docs/overview

Developer

Rocket Software (formerly Zumasys)

Pinecone Systems, Inc

Transwarp

Initial release

1991

2019

Current release

5.7

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Server operating systems

AIX
Linux
Windows

hosted

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

optional

String, Number, Boolean

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

SQL

Support of SQL

Embedded SQL for jBASE in BASIC

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

RESTful HTTP API

Supported programming languages

.Net
Basic
Jabbascript
Java

Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

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

Access rights can be defined down to the item level

yes

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More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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