DBMS > Amazon Neptune vs. SAP Advantage Database Server vs. Weaviate

System Properties Comparison Amazon Neptune vs. SAP Advantage Database Server vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

Low-cost RDBMS with access to ISAM and FoxPro data structures

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

Primary database model

Graph DBMS
RDF store

Relational DBMS

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	3.68
Rank	#91	Overall
	#47	Relational DBMS

Score	0.17
Rank	#295	Overall
	#19	Search engines

Website

aws.amazon.com/neptune

www.sap.com/products/advantage-database-server.html

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

Technical documentation

aws.amazon.com/neptune/developer-resources

weaviate.io/developers/weaviate/current

Developer

Amazon

Sybase, SAP

SeMI Technologies B.V.

Initial release

2017

1993

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

Linux
Windows

Data scheme

schema-free

yes

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

yes

GraphQL is used as query language

APIs and other access methods

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

Delphi
Perl
PHP

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

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

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

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

with encyption-at-rest

yes

In-memory capabilities

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

caching of (temporary) tables can be configured

User concepts

Access control

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

fine grained access rights according to SQL-standard

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.

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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

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

Time-series Databases, Graph Databases, Kafka
9 May 2022, Security Boulevard

Catching up with Amazon Neptune
26 November 2019, ZDNet

Looking under the hood at Amazon Neptune
5 April 2018, ZDNet

provided by Google News

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

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

The History of the Weaviate Vector Search Engine
9 May 2020, hackernoon.com

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

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

provided by Google News

Job opportunities

Front End Engineer: Amazon Neptune Workbench
Amazon Dev Center U.S., Inc., Seattle, WA

Principal Product Manager-Technical, Amazon Neptune
Amazon Dev Center U.S., Inc., Remote

Software Development Engineer, Graph Query Optimization (Amazon Neptune)
Amazon Dev Center U.S., Inc., Seattle, WA

Product Manager - Technical, Amazon Neptune
Amazon Dev Center U.S., Inc., Seattle, WA

Applied Scientist Graph Query Planning and Optimization, Amazon Neptune
Amazon Dev Center U.S., Inc., Seattle, WA

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