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Graph Scalability
Elevate Scaling Horizons: ArangoDB's Pioneering Microservices Architecture Reshapes Graph Database Scalability. Excel Above Competitors, Seamlessly Expanding Vertically and Horizontally for Unmatched Efficiency and Reliability at Scale.
"We started with Neo4j. We went through the entire journey. We realized there were a lot of performance problems. Our standard data uploads were taking way too much time, upwards of 8 to 12 hours. So we started looking around and discovered ArangoDB. From that 8 to 12 hours of data upload, it went down to 42 minutes."
Get started with
Graph today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
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Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.
Vertical Scalability
With
ArangoDB's Vertical Scalability empowers you to enhance a single computer's capabilities as your data expands. It's like adding more muscle to your machine, making it work faster and handle larger amounts of information effortlessly.
This means you don't have to set up complex systems or switch to bigger hardware. It's a smart way to keep things running smoothly and efficiently as your needs grow.
Without
With legacy graph databases, when you want to handle more data, you often need to invest in bigger and more expensive hardware. It's like buying a larger backpack to carry more things.
This can get expensive and complex, requiring changes to your whole system. Unlike ArangoDB, where you can simply boost the power of your existing machine, the traditional approach can be costly, time-consuming, and harder to manage as your needs grow.
Horizontal Scalability
With
ArangoDB's horizontal scaling is like adding more cars to a train when you need to move more people. It allows you to smoothly handle larger amounts of data and users by simply connecting more computers to your system.
This keeps things running smoothly, avoids overloading, and ensures your applications stay responsive even as they grow in popularity. It's like building a bigger highway to handle more traffic without causing jams.
Without
Imagine a legacy graph database as a single, fixed-size train that people use to travel. If more people want to travel, you can't easily add more train cars or tracks.
Similarly, traditional graph databases often struggle with adding more computing power or storage capacity as demand grows, leading to bottlenecks and slower performance. Either they lack the ability to distribute data across multiple servers, or the process is so complex as to render it impractical.
Affordable Scalability
With
ArangoDB's Affordable Scalability stems from its adept workload distribution across servers and storage, enhancing performance without demanding expensive infrastructure updates.
Specifically, we’re talking about optimized shard architecture, data compression techniques, and memory efficient indexing. As datasets expand, ArangoDB seamlessly accommodates increased capacity, sustaining scalability while maintaining cost-effectiveness and ensuring efficient resource utilization.
Without
Legacy graph DBs face hurdles in achieving affordable scalability due to their architecture's limitations.
As data grows, these systems demand significant hardware upgrades or additional servers, resulting in high costs. Unlike ArangoDB's intelligent design, legacy databases struggle to efficiently distribute data and workloads, leading to higher expenses and hindering cost-effective scalability.
Transparent Scalability
With
ArangoDB's Transparent Scalability effortlessly adapts as your data and user demands grow. Its smart architecture seamlessly adds resources, distributing workloads for consistent performance without manual intervention.
As your application’s data increases, ArangoDB dynamically scales up, ensuring smooth operations and user experiences. You don't need to worry about disruptions or complex configurations – the system handles it all behind the scenes.
Without
When user demand or data volume spikes, legacy graph databases require administrators to predict and allocate resources, risking over-provisioning or poor performance.
This lack of dynamic adaptability leads to operational complexities, potential downtime, and user dissatisfaction.
In a nutshell, legacy graph databases may require frequent interventions and fine-tuning to scale, hindering smooth growth and increasing operational overhead.
Get started with
Graph today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
Read the
Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.