Top 10 Neo4j Graph Database Alternatives & Competitors

Top 10 Alternatives to Neo4j Graph Database Recently Reviewed By G2 Community

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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 Neo4j Graph Database, Arango is:
More usable
Easier to admin
Better at meeting requirements
Categories in common with Neo4j Graph Database:
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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Reviewers say compared to Neo4j Graph Database, Azure Cosmos DB is:
More expensive
Better at meeting requirements
Categories in common with Neo4j Graph Database:
Graph Databases
Database as a Service (DBaaS)

Amazon Neptune
By Amazon Web Services (AWS)
4.4/5
(30)
Product Description
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets.
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Reviewers say compared to Neo4j Graph Database, Amazon Neptune is:
More expensive
Easier to admin
More usable
Categories in common with Neo4j Graph Database:
Graph Databases
Database as a Service (DBaaS)
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Redis Software
By Redis
4.5/5
(133)
Product Description
Redis Software is designed for organizations that need fast, reliable in-memory database capabilities alongside the flexibility to manage their infrastructure. With sub-millisecond latency and millions of operations per second, Redis Software excels in delivering real-time performance. Built for high availability and disaster recovery, Redis Software ensures your data remains safe and accessible, providing the foundation for fast, scalable applications.
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Reviewers say compared to Neo4j Graph Database, Redis Software is:
More usable
Better at meeting requirements
Categories in common with Neo4j Graph Database:
Graph Databases

Snowflake
By Snowflake, Inc.
4.6/5
(679)
Product Description
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
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Reviewers say compared to Neo4j Graph Database, Snowflake is:
More expensive
More usable
Easier to admin
Categories in common with Neo4j Graph Database:
Database Management Systems (DBMS)

Amazon DynamoDB
By Amazon Web Services (AWS)
4.4/5
(525)
Product Description
Nonrelational database for applications that need performance at any scale
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Reviewers say compared to Neo4j Graph Database, Amazon DynamoDB is:
More expensive
Easier to admin
More usable
Categories in common with Neo4j Graph Database:
Database as a Service (DBaaS)

Microsoft SQL Server
By Microsoft
4.4/5
(2,261)
Product Description
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
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Reviewers say compared to Neo4j Graph Database, Microsoft SQL Server is:
More expensive
Better at meeting requirements
More usable
Categories in common with Neo4j Graph Database:
Database Management Systems (DBMS)

OrientDB
By SAP
3.9/5
(60)
Product Description
OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database.
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Categories in common with Neo4j Graph Database:
Graph Databases

SAP HANA Cloud
By SAP
4.3/5
(590)
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 Neo4j Graph Database, SAP HANA Cloud is:
More expensive
Better at meeting requirements
Categories in common with Neo4j Graph Database:
Database Management Systems (DBMS)
Database as a Service (DBaaS)

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