Scale With Speed, Power, and Any Size Dataset
Get more real-time data insights and deep context. The larger the dataset, the more insights you can find, and the more accurate all things AI.
Why Scalability Matters Now
As AI and vector embeddings drive massive data size and increasing complexity, the challenge isn’t just storage, it’s performance. Real-time demands such as fraud detection and live personalization require a system without lag. To meet today’s increasing needs, your technology must scale seamlessly to enable innovation, not hinder it.
Neo4j Scaling Strategies
From vertical scaling to massive distributed workloads, Neo4j offers multiple ways to meet increasing demands. Select the strategy that fits your infrastructure while keeping the performance you need.
Autonomous Clustering for Replication
Handle increased traffic with autonomous clustering, which is like replication on autopilot.
Automated Ops
Forget manual scripts; just set your copy count and the system handles placement and syncing.
Transparent Routing
Queries automatically hit the best replica, keeping your application logic clean.
High Throughput
Increase capacity without the operational overhead.
Infinigraph for Sharding
Scale to 100s of TBs with Infinigraph, a sharding approach that eliminates the traditional performance penalty.
Fast Performance
Query relationships without hopping the network by keeping nodes and relationships together.
Limitless Scale
Combine native graph speed with limitless storage by distributing heavy property data across shards.
Transparent Integration
Fully ACID compliant, allowing you to scale without rewriting a single line of code.
Fabric for Federation
Divide and conquer massive datasets by region, type of data, or business unit, then unify them with Fabric.
Unified Access
Create a single mesh to query across distributed graphs simultaneously.
Horizontal Scale
Distribute data across unlimited servers to handle growing loads.
Cohesive View
Treat distributed data as one graph, keeping application logic simple.
Loved by Devs. Deployed Worldwide.
1,700+ organizations build on Neo4j for data breakthroughs.
“Neo4j helps us operate at scale more efficiently and the Graph Data Science algorithms help us get our work done more efficiently. The work we’re doing today wouldn’t be possible without Neo4j.”
Basecamp Research
“What used to take days we can now do in milliseconds,”
Moheesh Raj
Director of Engineering, Dun & Bradstreet
“Crucially, we can attribute over 500,000 endpoints to host names in milliseconds, simply because we can add new data quickly. We can turn around a zero-day vulnerability very quickly, see our exposure, and address it almost immediately.”
Zach Probst
Staff Software Engineer, Intuit
