B2B SaaS Provider · vs · B2B SaaS Provider

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Graphext vs Neo4j

Structured technology and market comparison · 2026

Direct Feature Comparison

Graphext · vs · Neo4j
Primary Market / Role
GraphextB2B SaaS Provider
Neo4jB2B SaaS Provider
Platform Focus
Graphext

No-code visual analytics and machine learning SaaS for enterprises.

Neo4j

Enterprise graph database and analytics software provider.

Company Size
Graphext10–49 employees
Neo4j501–1,000 employees
Headquarters
GraphextES
Neo4jUS
Year Founded
Graphext2019
Neo4j2007

Analyze all overlapping signals and tech stacks for Graphext and Neo4j

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Comparison Analysis

What is the main difference between Graphext and Neo4j?

When comparing Graphext and Neo4j, both platforms operate within the Large Language Models (LLM) & AI, B2B SaaS Provider, and Measurement & Analytics Platform ecosystem. Graphext is positioned as No-code visual analytics and machine learning SaaS for enterprises, whereas Neo4j focuses on Enterprise graph database and analytics software provider. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.

What are the top alternatives to Graphext and Neo4j?

When evaluating Graphext and Neo4j, enterprise buyers also consider other platforms in Large Language Models (LLM) & AI, B2B SaaS Provider, and Measurement & Analytics Platform. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.

Market Signals

Recent Market Signals & Activity: Graphext vs Neo4j

Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.

GR

Graphext

Recent Signals

No recent market signals documented for Graphext in the current tracking window.

NE

Neo4j

Recent Signals

  • ·Neo4j

    Neo4j GraphAware Financial Crime Intelligence debuts for full-cycle detection, investigation & prevention

    Neo4j has launched GraphAware Financial Crime Intelligence, a new solution for full-cycle detection, investigation, and prevention of financial crime. This follows the acquisition of GraphAware and the launch of intelligence analysis solutions.

  • ·Neo4j

    Introducing Neo4j GraphAware Financial Crime Intelligence

    Neo4j launches GraphAware Financial Crime Intelligence, a new solution for financial crime detection and investigation, and introduces Graph Analytics for self-managed deployments.

  • ·DEV CommunityInfrastructure

    Benchmark of Five Managed Graph Databases

    A reproducible benchmark comparing CognoDB Cloud, Neo4j AuraDB, Memgraph, FalkorDB and ArangoDB revealed major pitfalls in naive measurement: geographic placement of managed instances skewed raw latency numbers, server-reported execution time (via Bolt drivers) is required for fair engine-to-engine comparison, and CognoDB v0.9.11 exhibited a background-indexing behaviour that caused indexed lookups to return no results while an index was building, silently dropping relationship writes. Concurrency characteristics differed: cloud-hosted databases scaled with client concurrency due to network latency hiding server idle time, while local instances became CPU-bound and slowed. The author published the full harness and raw data on GitHub.

    • Five graph databases were benchmarked: CognoDB Cloud, Neo4j AuraDB, Memgraph, FalkorDB and ArangoDB.
    • Geographic placement of managed cloud instances (e.g., CognoDB in Google Cloud us-east4 and Neo4j AuraDB in Google's Singapore range) skewed raw wall-clock latency measurements.
    • Using server-reported execution time via Bolt drivers (network excluded) was necessary to fairly compare engines in different regions.

Compare their exact ecosystem overlaps.

Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Graphext and Neo4j share across the market ecosystem.