DBMS > Amazon Neptune vs. Weaviate

System Properties Comparison Amazon Neptune vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

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

Primary database model

Graph DBMS
RDF store

Search engine

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

Score	2.87
Rank	#105	Overall
	#6	Graph DBMS
	#4	RDF stores

Score	0.13
Rank	#306	Overall
	#19	Search engines

Website

aws.amazon.com/neptune

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

Technical documentation

aws.amazon.com/neptune/developer-resources

weaviate.io/developers/weaviate/current

Developer

Amazon

SeMI Technologies B.V.

Initial release

2017

Current release

1.0.3, January 2021

License

Commercial or Open Source

commercial

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

Server operating systems

hosted

Data scheme

schema-free

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

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

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

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

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.

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,...
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Key customers

A ll companies that have data.
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Licensing and pricing models

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