Neo4j Aura vs AuraDB: Pricing, Login Flow, and Cloud Features

25.10.2025

Neo4j Aura vs AuraDB: Pricing, Login Flow, and Cloud Features

Leveraging Neo4j Knowledge Graph Model for Relevant Search

Pricing

1. Neo4j Aura: Neo4j Aura offers a pay-as-you-go pricing model, which means you only pay for what you use. There are different pricing tiers based on the size of the graph database and the level of performance required.

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2. AuraDB: AuraDB also follows a similar pay-as-you-go pricing model with different tiers depending on the database size and performance needs. The pricing is competitive and transparent, with no hidden fees.

Login Flow

1. Neo4j Aura: To access Neo4j Aura, users need to create an account on the Neo4j website. Once the account is created, users can log in to the Aura dashboard using their credentials and manage their graph databases from there.

2. AuraDB: Similarly, users need to sign up for an account on the AuraDB platform to access their graph databases. The login flow is straightforward, and users can easily navigate the dashboard to work with their databases.

Cloud Features

1. Neo4j Aura: Neo4j Aura is a fully managed cloud service, which means that Neo4j takes care of the infrastructure, security, and maintenance of the database. Users can focus on building applications without worrying about the backend.

2. AuraDB: AuraDB also offers a fully managed cloud service with advanced security features and automatic updates. Users can scale their databases up or down based on their needs without any downtime.

  • Scalability: Both Neo4j Aura and AuraDB are highly scalable and can handle large volumes of data and high traffic loads.
  • Security: The cloud platforms provide robust security features to protect the data stored in the graph databases.
  • Performance: Users can expect high performance from both Aura and AuraDB, with low latency and high throughput.
  • Integration: The platforms support easy integration with other tools and services, making it convenient for developers to work with their graph databases.

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Yan Hadzhyisky

fullstack PHP+JS+REACT developer