DBMS > Amazon Neptune vs. JaguarDB vs. Qdrant

System Properties Comparison Amazon Neptune vs. JaguarDB vs. Qdrant

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Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

Performant, highly scalable DBMS for AI and IoT applications

A high-performance vector database with neural network or semantic-based matching

Primary database model

Graph DBMS
RDF store

Key-value store
Vector DBMS

Vector DBMS

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

Score	2.07
Rank	#111	Overall
	#9	Graph DBMS
	#5	RDF stores

Score	0.06
Rank	#358	Overall
	#53	Key-value stores
	#19	Vector DBMS

Score	2.03
Rank	#112	Overall
	#8	Vector DBMS

Website

aws.amazon.com/neptune

www.jaguardb.com

github.com/qdrant/qdrant
qdrant.tech

Technical documentation

aws.amazon.com/neptune/developer-resources

www.jaguardb.com/support.html

qdrant.tech/documentation

Developer

Amazon

DataJaguar, Inc.

Qdrant

Initial release

2017

2015

2021

Current release

3.3 July 2023

License

Commercial or Open Source

commercial

Open Source

GPL V3.0

Open Source

Apache 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

C++

the server part. Clients available in other languages

Rust

Server operating systems

hosted

Linux

Docker
Linux
macOS
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

Numbers, Strings, Geo, 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

Keywords, numberic ranges, geo, full-text

SQL

Support of SQL

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

APIs and other access methods

OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin

JDBC
ODBC

gRPC
OpenAPI 3.0
RESTful HTTP/JSON API

OpenAPI 3.0

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

.Net
Go
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.

Multi-source replication

Collection-level replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Eventual Consistency, tunable consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

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

with encyption-at-rest

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 can be defined via the AWS Identity and Access Management (IAM)

rights management via user accounts

Key-based authentication

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More resources

Recent citations in the news

Use Amazon Neptune Analytics to analyze relationships in your data faster, Part 1: Introducing Parquet and CSV import and export
21 January 2025, AWS Blog

How Coinbase provides trustworthy financial experiences through real-time user clustering with Amazon Neptune
18 November 2024, AWS Blog

Using knowledge graphs to build GraphRAG applications with Amazon Bedrock and Amazon Neptune
1 August 2024, AWS Blog

How Prisma Cloud built Infinity Graph using Amazon Neptune and Amazon OpenSearch Service
27 August 2024, AWS Blog

How Orca Security optimized their Amazon Neptune database performance
17 January 2025, AWS Blog

provided by Google News

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4 March 2025, Business Wire

Open-source vector database Qdrant expands enterprise cloud AI features
4 March 2025, SiliconANGLE News

Qdrant update adds security measures for AI development
4 March 2025, TechTarget

Qdrant promises 10x faster indexing with GPU-powered vector database
23 January 2025, Blocks and Files

Build your First RAG with Qdrant
17 October 2024, packtpub.com

provided by Google News

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