DBMS > Amazon Neptune vs. openGemini vs. OpenSearch

System Properties Comparison Amazon Neptune vs. openGemini vs. OpenSearch

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

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

Primary database model

Graph DBMS
RDF store

Time Series DBMS

Search engine
Vector DBMS

Secondary database models

Vector DBMS

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

Score	2.13
Rank	#111	Overall
	#9	Graph DBMS
	#5	RDF stores

Score	0.02
Rank	#371	Overall
	#40	Time Series DBMS

Score	17.38
Rank	#32	Overall
	#4	Search engines
	#2	Vector DBMS

Website

aws.amazon.com/neptune

www.opengemini.org
github.com/openGemini

github.com/opensearch-project
opensearch.org

Technical documentation

aws.amazon.com/neptune/developer-resources

docs.opengemini.org/guide

opensearch.org/docs/latest

Developer

Amazon

Huawei and openGemini community

The OpenSearch Software Foundation

Initial release

2017

2022

2021

Current release

1.1, July 2023

2.19, February 2025

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

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.

STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.

Implementation language

Java

Server operating systems

hosted

Linux
Windows

All OS with a Java VM

Data scheme

schema-free

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

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

yes

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

SQL

Support of SQL

SQL-like query language

APIs and other access methods

OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin

HTTP REST

Java API
RESTful HTTP/JSON API

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

C
C++
Go
Java
JavaScript (Node.js)
Python
Rust

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

Server-side scripts

Stored procedures

yes

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

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

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)

Administrators and common users accounts

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Zupee implements Amazon Neptune to detect Wallet transaction anomalies in real time
28 April 2025, Amazon Web Services

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

Using generative AI and Amazon Bedrock to generate SPARQL queries to discover protein functional information with UniProtKB and Amazon Neptune | Amazon Web Services
9 April 2025, Amazon Web Services

Introducing the GraphRAG Toolkit
27 January 2025, Amazon Web Services

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

provided by Google News

Open Source @ Huawei
9 February 2022, Huawei

provided by Google News

AWS Weekly Roundup: South America expansion, Q Developer in OpenSearch, and more (May 12, 2025)
12 May 2025, Amazon Web Services

OpenSearch 3.0 hits: First major release under Linux Foundation as it battles ElasticSearch for mindshare
7 May 2025, devclass

OpenSearch in 2025: Much more than an Elasticsearch fork
28 April 2025, InfoWorld

DataStax partners with OpenSearch to enhance generative AI search
16 May 2025, IT Brief Australia

OpenSearch 3.0 targets fast AI search with MCP and GPU-powered vectors
7 May 2025, Blocks and Files

provided by Google News

Share this page