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The best open source alternative to Amazon Neptune is Neon Postgres. If that doesn't suit you, we've compiled a ranked list of other open source Amazon Neptune alternatives to help you find a suitable replacement. Other interesting open source alternatives to Amazon Neptune are: OceanBase and Memgraph.
Amazon Neptune alternatives are mainly Relational Databases (SQL) but may also be Graph Databases or In-Memory Databases. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Amazon Neptune.
Cloud-native, auto-scaling Postgres with instant branching, bottomless storage, and pay-per-use pricing

Neon Postgres revolutionizes database management with its serverless, cloud-native architecture. Built for modern applications, it offers a powerful combination of features that enhance developer productivity and optimize resource usage.
Key benefits include:
Neon Postgres combines the reliability of traditional databases with the flexibility of cloud-native solutions, making it an ideal choice for startups, enterprises, and everything in between. Experience the future of database management with Neon Postgres.
Scalable, high-availability database system supporting OLTP, OLAP, and hybrid transactional/analytical processing workloads.

OceanBase is a cutting-edge distributed relational database management system designed to handle massive-scale data processing with unparalleled performance and reliability. Built to meet the demands of modern enterprises, OceanBase offers:
OceanBase's innovative architecture combines the benefits of distributed systems with the familiarity of traditional relational databases, making it an ideal choice for organizations seeking to modernize their data infrastructure while maintaining operational continuity.
Memgraph is a scalable, in-memory graph database solution offering high-performance computing and Neo4j compatibility.

Memgraph is a powerful, in-memory graph database designed for high-performance computing and scalable data analysis. It offers seamless Neo4j compatibility, allowing users to easily transition existing projects or leverage familiar query languages.
Key benefits of Memgraph include:
Memgraph excels in use cases such as fraud detection, recommendation engines, network analysis, and knowledge graphs. Its ability to handle graph sizes from 100 GB to 4 TB makes it suitable for a wide range of applications.
With a strong focus on performance and scalability, Memgraph empowers organizations to unlock the full potential of their connected data, enabling deeper insights and more efficient decision-making processes.