DBMS > AgensGraph vs. Amazon CloudSearch vs. Pinecone

System Properties Comparison AgensGraph vs. Amazon CloudSearch vs. Pinecone

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Multi-model database supporting relational and graph data models and built upon PostgreSQL

A hosted search engine service by Amazon with the data stored in Amazons cloud

A managed, cloud-native vector database

Primary database model

Graph DBMS
Relational DBMS

Search engine

Vector DBMS

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

Score	0.19
Rank	#316	Overall
	#28	Graph DBMS
	#139	Relational DBMS

Score	1.61
Rank	#135	Overall
	#12	Search engines

Score	3.17
Rank	#81	Overall
	#5	Vector DBMS

Website

bitnine.net/agensgraph

aws.amazon.com/cloudsearch

www.pinecone.io

Technical documentation

bitnine.net/documentation

docs.aws.amazon.com/cloudsearch

docs.pinecone.io/docs/overview

Developer

Bitnine Global Inc.

Amazon

Pinecone Systems, Inc

Initial release

2016

2012

2019

Current release

2.1, December 2018

License

Commercial or Open Source

Open Source

Apache License 2.0

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

Server operating systems

Linux
OS X
Windows

hosted

Data scheme

depending on used data model

yes

Typing

predefined data types such as float or date

yes

String, Number, Boolean

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

all search fields are automatically indexed

SQL

Support of SQL

yes

APIs and other access methods

Cypher Query Language
JDBC

HTTP API

RESTful HTTP API

Supported programming languages

C
Java
JavaScript
Python

Python

Server-side scripts

Stored procedures

yes

Triggers

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

yes

automatic partitioning across Amazon Search Instance as required

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

managed transparently by AWS

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.

User concepts

Access control

fine grained access rights according to SQL-standard

authentication via encrypted signatures

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

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Vector databases
2 June 2023, Matthias Gelbmann

show all

Share this page