DBMS > Amazon Neptune vs. RDF4J vs. Weaviate

System Properties Comparison Amazon Neptune vs. RDF4J vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

A cloud-native, realtime vector search engine integrating scalable machine learning models

Primary database model

Graph DBMS
RDF store

RDF store

Search engine

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

Score	2.82
Rank	#108	Overall
	#6	Graph DBMS
	#4	RDF stores

Score	0.73
Rank	#204	Overall
	#9	RDF stores

Score	0.17
Rank	#295	Overall
	#19	Search engines

Website

aws.amazon.com/neptune

rdf4j.org

github.com/semi-technologies/weaviate
weaviate.io

Technical documentation

aws.amazon.com/neptune/developer-resources

rdf4j.org/documentation

weaviate.io/developers/weaviate/current

Developer

Amazon

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

SeMI Technologies B.V.

Initial release

2017

2004

2017

Current release

1.0.3, January 2021

License

Commercial or Open Source

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

Open Source

commercial license available with Weaviate Enterprise

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

Java

Server operating systems

hosted

Linux
OS X
Unix
Windows

Data scheme

schema-free

yes

RDF Schemas

yes, maps to GraphQL interface

Typing

predefined data types such as float or date

yes

string, int, float, geo point, date, cross reference, fuzzy references

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 data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed

SQL

Support of SQL

GraphQL is used as query language

APIs and other access methods

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

Java
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

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

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with encyption-at-rest

yes

in-memory storage is supported as well

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

OpenID Connect Discovery

More information provided by the system vendor

Typical application scenarios

As a stand-alone vector search engine, or use one of the many modules (transformers,...
» more

Key customers

A ll companies that have data.
» more

Licensing and pricing models

Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021, Etienne Dilocker, SeMI Technologies (sponsor)

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Recent citations in the news

TigerGraph unveils new tool for machine learning modeling
25 May 2022, TechTarget

Amazon Neptune update: Machine learning, data science, and the future of graph databases
30 July 2021, ZDNet

Here’s how you can predict graphs accurately, quickly, and securely with Amazon Neptune
2 November 2021, YourStory

Catching up with Amazon Neptune
26 November 2019, ZDNet

Amazon Neptune
22 March 2022, TechTarget

provided by Google News

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PR Newswire

provided by Google News

SeMI Technologies’ search engine opens up new ways to query your data
22 February 2022, TechCrunch

Getting Started with the Weaviate Vector Search Engine
18 May 2020, hackernoon.com

Database technology evolves to combine machine learning and data storage
7 March 2022, VentureBeat

Weaviate Is A Search Engine For Vector Embeddings
11 May 2020, hackernoon.com

Open-source NLP company Deepset nabs $14M to power ‘plain-English’ enterprise search
28 April 2022, VentureBeat

provided by Google News

Job opportunities

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Amazon Neptune - Software Dev Engineer
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