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| 1 | +--- |
| 2 | +title: "Comparison of Analytics Engines Deployment Modes - Understanding 3-AZ / 1-AZ" |
| 3 | +excerpt: "Explore OVHcloud's Public Cloud Analytics deployment modes" |
| 4 | +updated: 2025-06-11 |
| 5 | +--- |
| 6 | + |
| 7 | +## Objective |
| 8 | + |
| 9 | +OVHcloud offers two deployment modes for its [Analytics](/links/public-cloud/analytics) service, each tailored to specific needs regarding resilience, availability, performance, and latency. This document provides a detailed explanation of the characteristics of each deployment mode, followed by a comprehensive comparison to help users choose the best option for their requirements. |
| 10 | + |
| 11 | +## Concepts |
| 12 | + |
| 13 | +OVHcloud managed Analytics services offer two main deployment modes, each optimized for specific use cases and offering various levels of resilience and failover: |
| 14 | + |
| 15 | +1. **1-AZ Region**: for standard Analytics workloads, offering basic resilience with optimized cost. |
| 16 | +2. **3-AZ Region**: suitable for highly availability Analytics workloads with low RTO/RPO and resilience to availability zone outage. |
| 17 | + |
| 18 | +## Deployment modes |
| 19 | + |
| 20 | +> [!primary] |
| 21 | +> |
| 22 | +> The following information pertains to the different deployment modes available in OVHcloud’s Analytics services. Select the mode that best suits your needs based on resilience, availability, and performance. |
| 23 | +
|
| 24 | +### 1-AZ Region |
| 25 | + |
| 26 | +A 1-AZ Region consists of a **single availability zone covering multiple data centers within the same geographical region**. When a multi-node Analytics service is deployed, this single AZ setup offers resilience against node and disk failures but may be vulnerable to a complete OpenStack region outage. Note that in a 1-AZ region, the Analytics service is located in a specific OpenStack region that spans over multiple data centers. The nodes of a multi-node Analytics service are scattered in different hosts that **may be** located in different data centers. If an outage occurs in a specific data center hosting one or multiple nodes of the Analytics service, access to data could be impacted, even if other data centers in the zone remain operational. |
| 27 | + |
| 28 | +#### Characteristics |
| 29 | + |
| 30 | +- **Cost-Effectiveness:** Deploying in a 1-AZ region is generally more affordable, making it suitable for development, testing, and non-critical workloads where cost considerations are paramount. |
| 31 | +- **Host antiaffinity:** The nodes of a multi-node Analytics service are deployed in different physical hosts offering resilience to host outage. |
| 32 | + |
| 33 | +#### Limitations |
| 34 | + |
| 35 | +- **Single Point of Failure:** In a 1-AZ region, the Analytics service nodes **may be** deployed within a single data center. If this data center experiences an outage, access to your Analytics service could be impacted, even if other data centers within the same availability zone remain operational. |
| 36 | + |
| 37 | +<a name="3azregion"></a> |
| 38 | + |
| 39 | +### 3-AZ Region |
| 40 | + |
| 41 | +3-AZ Regions consist of **three independent availability zones**, each isolated in terms of power, cooling, and network systems, providing true fault isolation. This architecture ensures **service availability** even if an entire availability zone experiences an outage. |
| 42 | + |
| 43 | +#### Characteristics |
| 44 | + |
| 45 | +- **High Availability:** Multi-node Analytics service is deployed across three independent availability zones, ensuring service continuity even if one zone experiences an outage. |
| 46 | +- **Low Latency:** The architecture offers ultra-low latency between availability zones, ensuring performance of Analytics operations accross all the nodes of the cluster. |
| 47 | + |
| 48 | +#### Ideal Use Cases |
| 49 | + |
| 50 | +3-AZ Regions are particularly suited to mission-critical and availability-sensitive applications, where data governance requires continuous availability. This includes sectors such as e-commerce, healthcare platforms, financial services or live streaming applications. |
| 51 | + |
| 52 | +## Go Further |
| 53 | + |
| 54 | +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for assisting you on your specific use case. |
| 55 | + |
| 56 | +Join our [community of users](/links/community) and visit our [Discord channel](https://discord.gg/ovhcloud). |
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