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Memgraph: The Database That Outruns Neo4j
How a 42-person team is building the fastest, most affordable graph database on the market.
In the crowded world of databases, Memgraph isn't just building another graph engine; they're building a high-performance alternative designed to outperform the market leader, Neo4j, on both speed and cost. With a lean team of 42 and a clear focus on in-memory processing, they are betting that raw performance will win the enterprise.
"Memgraph isn't just compatible with Neo4j; it's built to beat it."
The Performance Playbook
Memgraph's strategy is audacious: target Neo4j's 101,430 monthly search volume by offering a drop-in replacement that solves the performance bottlenecks of disk-based systems. By leveraging an in-memory architecture, they promise sub-millisecond query responses for real-time analytics, a critical requirement for fraud detection and network analysis where every millisecond counts.
Developer-First Acquisition
With 49% of their 90,735 monthly visits coming from organic search, Memgraph is winning the hearts of developers. Their traffic isn't just driven by brand searches; it's captured through specific technical queries like 'how do I clear out old indexes' and 'benchmark queries.' This indicates a user base that is hands-on, technical, and deeply engaged with the product's capabilities.
The company's tech stack reveals a modern, pragmatic approach. They utilize Tailwind CSS for rapid UI development and standard tracking tools (Google Analytics, Facebook Pixel) to optimize conversion. However, the real story lies in their product positioning. They are not trying to be everything to everyone; they are the 'fastest, most affordable' option, a value proposition that resonates strongly with cost-conscious engineering teams.
- In-memory architecture for real-time processing
- Neo4j compatibility to lower switching costs
- Strong organic SEO strategy targeting technical queries
- Lean operations with high revenue-per-employee ($112k)
The Lean, Mean Graph Machine
Memgraph proves you don't need a massive headcount to disrupt a database giant—you just need to be faster.
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Experience high-performance graph computing with Memgraph — the scalable, in-memory graph database solution compatible with Neo4j.
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About memgraph.com
Experience high-performance graph computing with Memgraph — the scalable, in-memory graph database solution compatible with Neo4j.
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Technology Stack
memgraph.com uses 16 technologies across their website including HSTS, PHP, Vercel, and more.
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HSTS
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PHP
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Vercel
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DoubleClick Floodlight, LinkedIn Insight Tag, Google Ads, Facebook Pixel
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Google Tag Manager, Google Analytics
Performance
Lazy Loading, Priority Hints
Traffic & Audience
memgraph.com receives approximately 90.7K monthly visitors and ranks #446,414 globally. The website has a bounce rate of 43% with visitors viewing an average of 1.6 pages per visit. Users spend an average of 0:32 on the site.
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