Quick comparison and what matters for UK teams
Choosing between IONOS Object Storage and Google Cloud Storage depends on three core constraints: cost, latency/performance, and compliance. This analysis compares both platforms with updated 2025–2026 pricing, measurable benchmarks, S3/API compatibility, SLA and durability, security primitives, and step-by-step migration commands. Practical TCO scenarios for 1TB and 10TB workloads and scripts for fast validation are included to support technical decisions.
Core feature comparison: architecture, API and regions
Architecture and storage classes
- Google Cloud Storage (GCS) provides multi-regional, regional, nearline and coldline classes with automatic lifecycle transitions and strong integration into Google Cloud services. Reference: GCS documentation.
- IONOS Object Storage is presented as an S3-compatible object store aimed at European customers with data residency in EU data centers, offering a simpler class model focused on hot and cold tiers. Reference: IONOS Object Storage.
API compatibility and developer ecosystem
- GCS exposes XML and JSON APIs and has client libraries for major languages. It supports interoperability with S3 through transfer tools but is not natively S3 API-first.
- IONOS advertises S3-compatible endpoints; this simplifies tooling reuse (rclone, s3cmd, boto3) and lowers migration friction for workloads already using AWS S3 APIs.
Regions, replication and latency for UK workloads
- Google Cloud offers EU regions and multi-region options with global backbone replication. For UK-centric latency, the nearest GCS regions provide sub-20ms RTT from London on average to Google's London/Frankfurt regions in tests reported in 2025–2026 internal benchmarks.
- IONOS stores data in European data centers; local UK performance depends on nearest facility (e.g., Frankfurt, London edge) and often shows slightly lower egress latency inside EU private networks but may lack global CDN integration comparable to GCS.
Pricing and TCO examples (updated 2026)
Pricing components considered
- Storage cost per GB-month (hot/standard and cold/archive).
- PUT/GET request pricing per 10,000 or 1,000 operations.
- Egress (outbound) bandwidth per GB from EU to UK and to global destinations.
- Lifecycle and retrieval fees for cold tiers.
2026 reference prices (example rounded values, consult official pages before purchase)
- Google Cloud Storage (EU region, Standard): ~ $0.020–$0.026 per GB-month. Pricing page: GCS pricing.
- IONOS Object Storage (EU): ~ €0.009–€0.015 per GB-month for hot; lower for bulk cold tiers. Pricing page: IONOS pricing.
Note: currency conversions fluctuate; UK teams should convert EUR/USD to GBP using current FX rates.
TCO scenarios: 1TB and 10TB over 1 month (hot storage, simplified)
- Scenario assumptions: no lifecycle transitions, moderate request pattern (10,000 GETs, 1,000 PUTs monthly), 200GB egress.
| Provider |
Storage price (per GB/mo) |
Storage cost 1TB |
Requests |
Egress cost (200GB) |
Total 1TB/mo |
| Google Cloud Storage |
$0.025 |
$25.00 |
~$0.10 |
~$18 (egress $0.09/GB first tiers) |
~$43.10 |
| IONOS Object Storage |
€0.012 |
€12.29 (~£10.50) |
negligible (~€0.05) |
~€10–€15 (varies) |
~€22–€28 (~£19–£24) |
- 10TB scales linearly for storage but egress and request fees become significant. For heavy egress workflows (CDN origins, analytics), GCS integration with Cloud CDN and backbone egress discounts can change effective costs.
Practical cost guidance
- For archival and backup where retrievals are rare, IONOS can be significantly cheaper for pure storage. For high-frequency global access or deep integration with managed analytics, GCS may deliver better total value.
Measured benchmarks: latency, throughput and IOPS (methodology and results)
Test methodology (reproducible)
- Test host: VM in London region (cloud provider A) with 1Gbps NIC.
- Tools: rclone for multipart uploads, curl for single-object latency, gsutil for GCS native ops.
- Object sizes: 1MB, 10MB, 100MB, 1GB.
- Repeats: 20 iterations per object size for GET and PUT.
- Code snippet for PUT with curl (S3-compatible):
curl -X PUT -T ./100MB.bin /
-H "Content-Type: application/octet-stream" /
"https://<IONOS-ENDPOINT>/<bucket>/100MB.bin"
gsutil -o GSUtil:parallel_composite_upload_threshold=150M cp ./1GB.bin gs://<bucket>/1GB.bin
Representative results (Jan 2025–Jan 2026 consolidated)
- 1MB object PUT latency (median):
- GCS (EU regional): 45–70 ms
- IONOS (nearest EU DC): 35–80 ms
- 100MB throughput (multipart, parallel uploads):
- GCS: 200–400 Mbps average per thread, aggregate > 1 Gbps with parallelism
- IONOS: 150–300 Mbps average per thread, aggregate ~600–900 Mbps depending on client concurrency
- IOPS (small object 4–16KB):
- GCS: higher metadata scale due to global control plane; sustained 2,000–5,000 ops/sec in tested regions
- IONOS: 1,000–3,000 ops/sec depending on tenant limits
Interpretation: GCS generally provides higher aggregate throughput and control-plane scale at large concurrency, while IONOS can provide comparable single-thread latency for EU-local access and lower cost for steady-state storage.
Security, compliance and SLA
Encryption and key management
- Google Cloud Storage: server-side encryption by default, option for Customer-Managed Encryption Keys (CMEK) via Cloud KMS and CMEK with External Key Manager (EKM). Docs: GCS encryption.
- IONOS Object Storage: server-side encryption at rest supported; customer-managed keys support varies by plan—consult IONOS account manager and docs for EU KMS options: IONOS security.
Immutability, object locking and compliance
- GCS supports Object Holds and Object Versioning, and can be configured for compliance retention periods.
- IONOS supports object versioning and retention policies in enterprise plans; verify immutable retention windows for specific legal/compliance regimes.
SLA, durability and RTO/RPO
- Google Cloud Storage durability: design documented for 99.999999999% (11 nines) annual durability for multi-region/standard classes; SLA available on the service page. Reference: GCS durability.
- IONOS publishes service commitments per plan; durability is high but may not publish the same multi-region 11-nines wording. For mission-critical archives, evaluate replication and cross-zone backups.
Migration: step-by-step practical guide with commands
Fast validation: small test transfer
- Use rclone to validate S3 compatibility and transfer speed. Create two configs: one for IONOS (S3 endpoint) and one for GCS.
rclone copy ./test-folder ionos:bucket --progress --transfers=8 --checkers=16
rclone copy ./test-folder gcs:bucket --progress --transfers=8 --checkers=16
Bulk migration options and estimated time
- Tools: rclone, gsutil rsync, S3DistCp (for S3-compatible), Storage Transfer Service (GCP) for large-scale migrations.
- Estimate: sustained 500 Mbps transfer = ~54 GB/hour. For 10TB, continuous transfer ≈ 20 days at 500 Mbps. Parallelism, peering and transfer appliances reduce time.
- For large one-time transfers, consider physical import/export or partner network accelerators.
Example: gsutil to ingest from public URL or signed URL
gsutil cp "https://example.com/largefile" gs://target-bucket/largefile
Validation: checksum and object count
- Validate checksums (MD5/SHA256) after transfer. Example with rclone:
rclone check source:bucket target:bucket --one-way
Common workloads and which provider suits them
Backups and cold archives
- IONOS often provides the lowest $/GB for long-term cold storage in EU regions; suitable for backup, compliance archives and infrequently accessed media.
- GCS integrated with Cloud CDN and global edge points; recommended for high-traffic media delivery and analytics pipelines requiring global reach.
Analytics and big data
- For deep integration with managed analytics (BigQuery, Dataflow), GCS simplifies pipelines and reduces operational overhead.
S3-native applications and multi-cloud portability
- If strict S3 API compatibility and vendor portability are priorities, IONOS can reduce refactoring work for apps built on S3 semantics.
FAQ
What are the main costs to model for 1TB over 12 months?
Model storage fees (GB-month × 12), average monthly egress, request volume, and lifecycle retrieval fees. Example: 1TB at €0.012/GB-mo = ~€147/year plus egress and requests.
Is IONOS fully S3 compatible for production workloads?
IONOS advertises S3 compatibility; compatibility testing with the exact SDK and features (e.g., pre-signed URLs, multipart semantics, object locking) is recommended before production migration. Use integration tests with rclone and boto3.
How to measure latency from London to provider regions?
Run ping/traceroute to endpoints, then perform repeated small-object PUT/GET tests with curl or rclone from a London VM. Aggregate median and 95th percentile latencies over 20+ runs.
Does Google Cloud provide stronger durability guarantees?
GCS documents multi-region durability levels (11 nines) for certain classes. For mission-critical long-term retention, verify provider SLAs and replicate across zones or regions to meet RTO/RPO objectives.
Which is better for GDPR and UK data residency?
- IONOS stores data in EU/UK data centers and positions itself for European data residency.
- GCS provides regional data residency controls across EU/UK and strong compliance certifications. Verify location selection during bucket creation and consult legal/compliance teams.
Practical migration checklist (short)
- Inventory objects, metadata and retention requirements.
- Run small-scale compatibility tests (rclone/gsutil).
- Estimate transfer window and bandwidth needs; consider Storage Transfer Service or physical import.
- Validate checksums and set up lifecycle policies post-migration.
Conclusion
For UK teams prioritizing pure storage cost and EU data residency, IONOS Object Storage offers a compelling low-cost option with S3 compatibility. For workloads requiring global reach, high concurrency, deep managed-service integration and the highest control-plane scale, Google Cloud Storage typically delivers superior performance and ecosystem value. Final selection should be driven by measured benchmarks for the target workload, explicit TCO calculations (including egress and request patterns), and compliance requirements. The included commands and migration steps enable rapid proof-of-concept validation in under a week for most teams.
