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Highest Availability

ArangoDB's Multi-Model Support: Simplifying Data Management and Integration with Unified Storage and Querying of Graph, Full Text Search, Key/Value, and Document Data.

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Altana AI

“As a cloud platform, ArangoGraph provides us with the high availability we needed with no effort for our operations team, including multi-availability zone clusters, managed zero-downtime upgrades, backups, one-click disaster recovery, and monitoring and alerting.”

– Ian Cadieu, CTO
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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.

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Business Continuity

Machine learning done right

With

Cluster Deployments harness ArangoDB's multi-node technology to bolster high availability and therefore business continuity. Asynchronous replication ensures data redundancy across multiple replicas, maintaining consistency.

When the leader node encounters a failure, seamless and fully-automated switchover to a replica occurs, sustaining uninterrupted service delivery.

This automated failover mechanism enhances system reliability, reducing downtime, and fortifying overall dependability

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Without

In contrast, legacy graph databases may lack a native, automated failover mechanism similar to ArangoDB's Cluster Deployments. This absence can lead to downtime in case of a leader node failure, impairing availability.

The key questions:

“How does your solution ensure automated failover in case a leader node fails?

“Can your database seamlessly and instantly transition to a replica to sustain uninterrupted service delivery?

“How do you ensure data consistency during failover?”

Minimized Downtime

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With

ArangoDB's High Availability (HA) shields your business from the negative impacts of downtime. By keeping multiple data copies on different servers, it ensures your services remain operational.

In case of server failure or maintenance, automatic switching to healthy servers prevents lost sales, customer frustration, and damage to your reputation. Especially if you’re offering an analytic or data service to YOUR end customers, the stakes are even higher!

It's like having backup generators for your business – no disruption, no lost opportunities, and happier customers.

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Without

Legacy Graph database vendors will often claim to have “automatic” failover to minimize downtime and business disruption.

However, the devil is in the details. To accomplish this, they might require a very large number of primary servers as failover nodes, many times in excess of the main server.

Or, their version of “failover” may result in query latency or worse, transaction loss. This is due to an immature architecture for high availability compared to ArangoDB’s seamless and far more affordable and durable HA model.

Enhanced User Experience

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With

ArangoDB ensures a smoother user experience by reducing downtime. With multiple data copies stored across different servers, the risk of service interruptions due to server failures or maintenance is minimized.

This means your applications stay up and running, preventing disruptions that could frustrate users or impact your business.

It's like having a full proof backup plan that keeps your services available, providing an “always on” and seamless experience for your customers and - in many cases - THEIR customers.

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Without

What’s worse than frustrated users, lost revenue, and damage to brand reputation? Unlike ArangoDB's seamless automatic failover, competing legacy graph solutions often lack the streamlined mechanisms to ensure consistent
and uninterrupted services.

Here’s the problem. High availability is all about SEAMLESS and “hands-free” technology that works in a lights out fashion. If there’s a need for “asynchronous” replication, the result is lost transactions that have to somehow be manually recovered. If exponentially more failover nodes are required for each primary node, what are the associated costs and complexity? And if sharding has to be done manually, what kind of downtime and service interruption will result when data evolves and is added?

Geographic Redundancy

Machine learning done right

With

ArangoDB's "Geographic Redundancy" works by distributing your data across multiple physical locations, known as data centers.

Each data center contains copies of your data, ensuring that even if one data center experiences a failure or disruption, the other centers can continue to provide access to your information.

This approach increases the resilience of your system and minimizes the risk of data loss due to disasters or other issues. It's like having backups of your important files stored in different places to ensure they're safe no matter what happens.

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Without

Here again, legacy graph database vendors claim a capability that requires a more careful look under the hood.

While you might be able to set up multiple instances of different data centers, consider the limitations by asking some key questions:

“Is replication across datacenters asynchronous? If so, what is the chance of data loss?”

“What are the risks of read and write latency in apps that are distributed and that required real-time data consistency?”

“What are the restrictions on datacenter location?” “Are manual failover manuevers ever required?”

icon 1

Get started with
Graph today

(no credit card required), and experience the shortest time to value for a hosted graph DB.

get started icon v2

Read the
Case Studies

Learn why companies across industries are switching to ArangoDB for Graph.

Get Started With ArangoGraph

Experience the shortest time to value for a hosted graph DB (no credit card required).