Top 10 Amazon Neptune Alternatives & Competitors

Top 10 Alternatives to Amazon Neptune Recently Reviewed By G2 Community

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Neo4j Graph Database
By Neo4j
4.5/5
(133)
Product Description
Neo4 is a graph database, that brings data relationships to the fore. From companies offering personalized product and service recommendations; to websites adding social capabilities; to telcos diagnosing network issues; to enterprises reimagining master data, identity, and access models; organizations adopt graph databases as the best way to model, store and query both data and its relationships.
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Reviewers say compared to Amazon Neptune, Neo4j Graph Database is:
Easier to do business with
Categories in common with Amazon Neptune:
Graph Databases
Database as a Service (DBaaS)

Arango
By Arango
4.6/5
(115)
Product Description
Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration — enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, Synopsys and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, YouTube, and G2.
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Reviewers say compared to Amazon Neptune, Arango is:
Easier to do business with
Easier to set up
Categories in common with Amazon Neptune:
Graph Databases
Database as a Service (DBaaS)

Azure Cosmos DB
By Microsoft
4.2/5
(68)
Product Description
Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach.
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Categories in common with Amazon Neptune:
Graph Databases
Database as a Service (DBaaS)
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MongoDB Atlas
By MongoDB
4.5/5
(368)
Product Description
MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
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Reviewers say compared to Amazon Neptune, MongoDB Atlas is:
Easier to set up
Easier to do business with
Better at meeting requirements
Categories in common with Amazon Neptune:
Database as a Service (DBaaS)

Dgraph
By Dgraph Labs
4.7/5
(22)
Product Description
Dgraph shards the data to horizontally scale to hundreds of servers. It is designed to minimize the number of disk seeks and network calls. Dgraph is built like a search engine. Queries are broken into sub-queries, which run concurrently to achieve low-latency and high throughput. Dgraph can easily scale to multiple machines, or datacenters. Its sharded storage and query processing were specifically designed to minimize the number of network calls.
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Reviewers say compared to Amazon Neptune, Dgraph is:
Easier to do business with
Better at meeting requirements
Easier to set up
Categories in common with Amazon Neptune:
Graph Databases

Oracle Database
By Oracle
4.3/5
(1,000)
Product Description
Oracle Database is a comprehensive, multi-model database management system developed by Oracle Corporation. It is designed to handle various data types and workloads, including online transaction processing (OLTP), data warehousing, and mixed database operations. With its robust architecture, Oracle Database supports deployment across on-premises environments, cloud platforms, and hybrid configurations, offering flexibility and scalability to meet diverse business needs. Key Features and Functionality: - Multi-Model Support: Oracle Database accommodates various data models, including relational, document, graph, and key-value, enabling developers to work with diverse data types within a single platform. - Advanced Analytics: The database integrates advanced analytics capabilities, such as in-database machine learning and AI Vector Search, allowing users to perform complex analyses directly within the database environment. - High Availability and Scalability: Designed for mission-critical applications, Oracle Database offers features like data replication, backup, server clustering, and automatic storage management to ensure high availability and seamless scalability. - Security: With comprehensive security measures, including encryption, SQL Firewall, and data masking, Oracle Database safeguards sensitive information and maintains data integrity. - Multicloud Deployment: Oracle Database supports deployment across various cloud platforms, including Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud, providing flexibility and compliance with data residency requirements. Primary Value and Solutions Provided: Oracle Database addresses the complex data management needs of modern enterprises by offering a unified platform that supports multiple data models and workloads. Its integration of AI and machine learning capabilities enables organizations to derive actionable insights directly from their data, enhancing decision-making processes. The database's high availability and scalability ensure that businesses can maintain continuous operations and adapt to growing data demands. Additionally, its robust security features protect against data breaches and ensure compliance with regulatory standards. By supporting multicloud deployments, Oracle Database provides the flexibility to operate in various cloud environments, facilitating seamless integration and innovation across different platforms.
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Reviewers say compared to Amazon Neptune, Oracle Database is:
Slower to reach roi
More expensive
Better at meeting requirements
Categories in common with Amazon Neptune:
Database as a Service (DBaaS)

ScyllaDB
By ScyllaDB
4.5/5
(422)
Product Description
Manage terabytes to petabytes of digital information with millions of read/write operations and msec P99 response. Our high availability architecture takes full advantage of modern infrastructure and networking capabilities. This translates to dramatically higher throughput and lower latency--eliminating barriers to scale.
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Reviewers say compared to Amazon Neptune, ScyllaDB is:
Easier to do business with
Categories in common with Amazon Neptune:
Database as a Service (DBaaS)

IBM Db2
By IBM
4.1/5
(681)
Product Description
IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.
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Reviewers say compared to Amazon Neptune, IBM Db2 is:
Slower to reach roi
Categories in common with Amazon Neptune:
Database as a Service (DBaaS)

SAP HANA Cloud
By SAP
4.3/5
(593)
Product Description
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
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Reviewers say compared to Amazon Neptune, SAP HANA Cloud is:
Slower to reach roi
More expensive
Categories in common with Amazon Neptune:
Database as a Service (DBaaS)

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