Linode (Akamai) vs MongoDB Atlas
A detailed comparison to help you choose between Linode (Akamai) and MongoDB Atlas.
Quick Verdict
4.0/5
Linode (Akamai)
0 reviews
4.1/5
MongoDB Atlas
0 reviews
MongoDB Atlas is rated higher (4.1 vs 4.0). Linode provides managed VPS instances on SSD storage with data centers across North America, Europe, and Asia. Built for developers and small-to-medium businesses needing reliable cloud infrastructure. MongoDB Atlas is the managed cloud version of MongoDB. Available on AWS, GCP, and Azure. Full-text search, vector search, time-series collections, and usage-priced Flex tiers. Free M0 cluster forever.
Linode (Akamai) High-performance Linux VPS hosting with predictable pricing. | MongoDB Atlas The cloud database for modern apps | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (0 reviews) | 4.1 (0 reviews)✓ |
| Pricing model | usage-based | freemium |
| Starting price | From $5/mo | Free tier available✓ |
| Best for | Small production teams wanting an API-first Linux platform with a real uptime SLA, pooled transfer, managed Kubernetes and databases, and one vendor for compute plus edge delivery. | Application-first teams that want production MongoDB with multi-AZ resilience and no DBA, plus developers who want a free tier that can grow into paid tiers. |
| Specifications (entry plan) | ||
| CPU cores | 1 vCPU | — |
| RAM | 1 GB | — |
| Storage | 25 GB | — |
| Bandwidth | 1 TB/mo | — |
| SLA uptime | 99.99% | 99.995%✓ |
| Data-center count | 26 | 125✓ |
| €/vCPU/mo | €5.00 | — |
| €/GB RAM/mo | €5.00 | — |
| Performance | ||
| CPU score (sysbench) | 1,800 | — |
| Disk read (fio) | 800 MB/s | — |
| Disk IOPS (4K random) | 14,000 | — |
| Network out | 0.5 Gbps | — |
| Latency (TTFB) | 30 ms | — |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ✓ | |
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | United StatesUnited KingdomGermanyIndiaSingaporeJapan+3 | ["AWS", "Google Cloud", "Microsoft Azure"] |
| Tags | ||
| Tags | free tierhourly billingnvme storageipv6ddos protectionbackups includedsnapshotsmanaged optioneu datacenterus datacenterapac datacenterapi accesskubernetes support | free tiermanaged optionbackups includedeu datacenterus datacenterapac datacenterapi access |
| Visit Linode (Akamai) → | Visit MongoDB Atlas → | |
Linode (Akamai)
Pros
- + Published hourly pricing with monthly caps and low egress overage ($0.005/GB)
- + 99.99% compute uptime SLA with pro-rata service credits; 99.9% for other services
- + Complete platform: LKE, managed databases, object storage, NodeBalancers, DNS, GPU
- + Excellent documentation and a well-documented REST API, CLI, and Terraform support
- + 25+ core data centers across North America, Europe, Asia-Pacific, and South America
Cons
- - Entry price-performance is not class-leading (our Nanode benchmark: CPU 1,800 at €5/mo)
- - Backups, snapshots, and managed databases are all paid add-ons
- - Product surface is fragmenting as Akamai folds Linode into its enterprise strategy
- - Service availability varies by region (Backups are core-regions-only)
- - Shared entry plans run on explicitly legacy hardware
MongoDB Atlas
Pros
- + Genuinely useful free M0 tier (512MB forever) with the same drivers and code path as production
- + Multi-cloud: 125+ regions across AWS, Google Cloud, and Azure, with cross-region and cross-provider node placement
- + Automated operations: three-node cross-AZ replica sets, failover, patching, point-in-time recovery, storage auto-scaling
- + 99.995% uptime SLA on Dedicated tiers with clearly documented exclusions and service-credit ladder
- + Integrated full-text and vector search, time-series collections, and Terraform/API automation
Cons
- - Per-node billing: a production replica set triples the advertised node price; sharded clusters multiply again
- - Backups on Dedicated, egress, search add-ons, and support are billed separately — invoice drift is common
- - No SLA and no continuous backups on Free or Flex; M0 cannot be resized into a paid cluster
- - Proprietary add-ons (Atlas Search, Vector Search, Data Federation) create soft lock-in
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