DBMS > Amazon Neptune vs. OpenSearch vs. Sequoiadb

System Properties Comparison Amazon Neptune vs. OpenSearch vs. Sequoiadb

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Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

NewSQL database with distributed OLTP and SQL

Primary database model

Graph DBMS
RDF store

Search engine
Vector DBMS

Document store
Relational DBMS

Secondary database models

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	16.97
Rank	#32	Overall
	#4	Search engines
	#2	Vector DBMS

Score	0.37
Rank	#269	Overall
	#43	Document stores
	#124	Relational DBMS

Website

aws.amazon.com/neptune

github.com/opensearch-project
opensearch.org

www.sequoiadb.com

Technical documentation

aws.amazon.com/neptune/developer-resources

opensearch.org/docs/latest

www.sequoiadb.com/en/index.php?m=Files&a=index

Developer

Amazon

The OpenSearch Software Foundation

Sequoiadb Ltd.

Initial release

2017

2021

2013

Current release

2.19, February 2025

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Server: AGPL; Client: Apache V2

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.

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Implementation language

Java

C++

Server operating systems

hosted

All OS with a Java VM

Linux

Data scheme

schema-free

Flexible type definitions. Once a type is defined, it is persistent

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

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

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin

Java API
RESTful HTTP/JSON API

proprietary protocol using JSON

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

yes

JavaScript

Triggers

yes

by using the 'percolation' feature

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.

yes

Source-replica 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

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Eventual Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

Document is locked during a transaction

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)

simple password-based access control

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More resources

Recent citations in the news

Use Amazon Neptune Analytics to analyze relationships in your data faster, Part 2: Enhancing fraud detection with 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

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

How Amazon stores deliver trustworthy shopping and seller experiences using Amazon Neptune
18 September 2024, AWS Blog

provided by Google News

Introducing vector search with UltraWarm in Amazon OpenSearch Service
20 March 2025, AWS Blog

Report: OpenSearch Bests ElasticSearch at Vector Modeling
18 March 2025, The New Stack

A1 Austria Migrates 21TB Workload to Aiven-Powered OpenSearch
19 March 2025, The Fast Mode

Improve search results for AI using Amazon OpenSearch Service as a vector database with Amazon Bedrock
21 February 2025, AWS Blog

Introducing Amazon OpenSearch Service and Amazon Security Lake integration to simplify security analytics
1 December 2024, AWS Blog

provided by Google News

Continuously recognized by Gartner and Forrester, SequoiaDB consolidates its leading position in China's distributed database market
9 March 2023, PR Newswire

provided by Google News

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