Top 10 GraphJSON Alternatives & Competitors

(36)4.2 out of 5

If you are considering GraphJSON, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to GraphJSON include features and data visualization. The best overall GraphJSON alternative is Neo4j Graph Database. Other similar apps like GraphJSON are Arango, Redis Software, Elastic Stack, and Aerospike. GraphJSON alternatives can be found in Graph Databases but may also be in Key Value Databases or Document Databases.

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Best Paid & Free Alternatives to GraphJSON

Neo4j Graph Database
Arango
Redis Software
Elastic Stack
Aerospike
Azure Cosmos DB
OrientDB
DataStax

Top 10 Alternatives to GraphJSON Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how GraphJSON stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Financial Services, and Education Management, and find the best product for your business.

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By Neo4j

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.

Reviewers say compared to GraphJSON, Neo4j Graph Database is:

Better at meeting requirements

Better at support

Easier to do business with

Categories in common with GraphJSON:

By Arango

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.

Reviewers say compared to GraphJSON, Arango is:

Better at meeting requirements

Better at support

Easier to do business with

Categories in common with GraphJSON:

By Redis

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.

Reviewers say compared to GraphJSON, Redis Software is:

Better at meeting requirements

More usable

Categories in common with GraphJSON:

Graph Databases

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Aerospike

By Aerospike

4.4/5

(83)

Product Description

Reviewers say compared to GraphJSON, Aerospike is:

Better at support

Better at meeting requirements

Easier to do business with

Categories in common with GraphJSON:

By Microsoft

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.

Reviewers say compared to GraphJSON, Azure Cosmos DB is:

Better at meeting requirements

Categories in common with GraphJSON:

By SAP

Product Description

Reviewers say compared to GraphJSON, OrientDB is:

Better at meeting requirements

Categories in common with GraphJSON:

By DataStax

Product Description

Reviewers say compared to GraphJSON, DataStax is:

Better at meeting requirements

Easier to do business with

Better at support

Categories in common with GraphJSON:

By Redis

Product Description

Redis Cloud combines the power of Redis with the convenience of a fully managed service, offering blazing-fast performance with sub-millisecond latency and millions of operations per second. Redis Cloud scales effortlessly to handle any workload, ensuring your applications remain fast and responsive. With features like auto tiering and advanced query and search capabilities, Redis Cloud simplifies your tech stack while delivering exceptional performance. Our robust high availability, including an industry-leading 99.999% up-time SLA ensures your data is always safe and accessible, allowing you to focus on building and deploying applications with confidence.

Reviewers say compared to GraphJSON, Redis Cloud is:

Better at meeting requirements

Easier to do business with

Easier to set up

Categories in common with GraphJSON:

Graph Databases