DBMS > EsgynDB vs. Pinecone vs. SvectorDB

System Properties Comparison EsgynDB vs. Pinecone vs. SvectorDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

A managed, cloud-native vector database

Serverless cloud-native vector database

Primary database model

Relational DBMS

Vector DBMS

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

Score	0.19
Rank	#317	Overall
	#140	Relational DBMS

Score	3.17
Rank	#81	Overall
	#5	Vector DBMS

Score	0.02
Rank	#374	Overall
	#20	Vector DBMS

Website

www.esgyn.cn

www.pinecone.io

svectordb.com

Technical documentation

docs.pinecone.io/docs/overview

www.svectordb.com/docs

Developer

Esgyn

Pinecone Systems, Inc

SvectorDB

Initial release

2015

2019

2023

License

Commercial or Open Source

commercial

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

C++, Java

Server operating systems

Linux

hosted

server-less

Data scheme

yes

Typing

predefined data types such as float or date

yes

String, Number, Boolean

string, double, vector

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

ADO.NET
JDBC
ODBC

RESTful HTTP API

OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

Python

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

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

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

Pinecone expands vector database with cascading retrieval, boosting enterprise AI accuracy by up to 48%
2 December 2024, VentureBeat

Pinecone integrates AI inferencing with vector database
2 December 2024, Blocks and Files

Pinecone Revamps Vector Database Architecture for AI Apps
27 February 2025, The New Stack

First-of-its-kind Pinecone Knowledge Platform to Power Best-in-class Retrieval for Customers
3 December 2024, PR Newswire

Pinecone provides Assistant for generative AI development
23 January 2025, TechTarget

provided by Google News

Share this page