2026 Best Software Awards are here!See the list

Top 10 Data Graphs Alternatives & Competitors

If you are considering Data Graphs, you may also want to investigate similar alternatives or competitors to find the best solution. Graph Databases is a widely used technology, and many people are seeking secure, popular software solutions with bi connectors. Other important factors to consider when researching alternatives to Data Graphs include reliability and ease of use. The best overall Data Graphs alternative is Redis Software. Other similar apps like Data Graphs are Neo4j Graph Database, Arango, Elastic Stack, and Aerospike. Data Graphs alternatives can be found in Graph Databases but may also be in Database as a Service (DBaaS) Providers or Document Databases.

Show Less

Best Paid & Free Alternatives to Data Graphs

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

Top 10 Alternatives to Data Graphs Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Data Graphs stacks up to the competition and find the best product for your business.

Sponsored

G2 Advertising

Get 2x conversion than Google Ads with G2 Advertising!

G2 Advertising places your product in premium positions on high-traffic pages and on targeted competitor pages to reach buyers at key comparison moments.

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.

Categories in common with Data Graphs:

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.

Categories in common with Data Graphs:

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.

Categories in common with Data Graphs:

Graph Databases

You’re Seeing Part of the StoryLog in or create an account to access the full set of alternatives.

Create a Free Account

Aerospike

By Aerospike

4.4/5

(83)

Product Description

Categories in common with Data Graphs:

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.

Categories in common with Data Graphs:

By SAP

Product Description

Categories in common with Data Graphs:

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.

Categories in common with Data Graphs:

Graph Databases