DBMS > GBase vs. Pinecone vs. YTsaurus

System Properties Comparison GBase vs. Pinecone vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

A managed, cloud-native vector database

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

Primary database model

Relational DBMS

Vector DBMS

Document store
Key-value store

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

Score	1.05
Rank	#186	Overall
	#86	Relational DBMS

Score	3.23
Rank	#92	Overall
	#3	Vector DBMS

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

Website

www.gbase.cn

www.pinecone.io

ytsaurus.tech

Technical documentation

docs.pinecone.io/docs/overview

ytsaurus.tech/docs/en

Developer

General Data Technology Co., Ltd.

Pinecone Systems, Inc

Yandex

Initial release

2004

2019

2023

Current release

GBase 8a, GBase 8s, GBase 8c

License

Commercial or 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

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Implementation language

C, Java, Python

C++

Server operating systems

Linux

hosted

Ubuntu

Data scheme

yes

Typing

predefined data types such as float or date

yes

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

Standard with numerous extensions

YQL, an SQL-based language, is supported

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

RESTful HTTP API

Supported programming languages

Python

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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.

User concepts

Access control

yes

Access Control Lists

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More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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