Tebi vs Google Cloud Storage sits at the crossroads of cost, compliance and performance for European customers. The decision often reduces to three practical questions: which provider lowers total cost of ownership (TCO) for realistic workloads?, which one meets EU data-residency and compliance needs?, and which one integrates smoothly with existing tools and pipelines? This analysis delivers updated 2025–2026 pricing scenarios, reproducible performance guidance, migration commands and a compliance matrix tailored to England and wider EU requirements.
How Tebi and Google Cloud Storage differ at a glance
Architecture and compatibility
- Tebi: Positions as an S3-compatible European object storage (verify exact feature set at the vendor page). Typical deployments emphasize regional EU presence and S3 API compatibility for third-party tooling.
- Google Cloud Storage (GCS): A global cloud-native object store with multi-region and regional buckets, strong integration with Google Cloud services such as BigQuery, Dataflow and Google Kubernetes Engine. Official docs are available at Google Cloud Storage docs.
Durability, replication and SLA
- Durability: GCS advertises 11 9s annual durability for multi-regional and regional storage classes; see the SLA at GCS SLA. Tebi claims enterprise-grade durability depending on replication and erasure coding options; confirm specifics on the vendor site at Tebi.
- Replication: GCS supports multi-regional replication and nearline/coldline classes for lifecycle policies. Tebi typically offers regionally scoped replication and configurable redundancy to keep data inside EU boundaries.
Ecosystem and integrations
- GCS: Native integrations with Google services and broad support across analytics and AI tooling. Official integration notes: GCS integrations.
- Tebi: Integration focus on S3-compatible tools (rclone, s3cmd, MinIO clients) and European CDNs. Check tooling compatibility at rclone and s3cmd.
Cost comparison: 1TB, 10TB, 100TB scenarios (2025–2026)
Pricing variables to include
- Storage price per GB-month (standard vs cold)
- Egress per GB and hotspot pricing for cross-region transfer
- Request pricing (PUT/GET/CLASS), lifecycle transition costs
- Minimum storage duration and early deletion fees
- Data replication costs and cross-region replication charges
Assumptions for scenarios
- All scenarios assume standard / frequently accessed storage class for active data.
- Egress from EU to internet or between regions assumed per provider published rates (2025–2026). GCS pricing page: GCS pricing.
- Tebi pricing examples are representative; confirm with vendor quotes for precise SLA-backed rates at Tebi pricing.
Comparative table: estimated monthly cost (EUR) — 2026 estimates
| Scenario |
Metric |
Google Cloud Storage (regional EU) |
Tebi (EU region, S3-compatible) |
Notes |
| Small |
1 TB stored, 200 GB egress/month, 100k requests |
€23 (storage) + €16 (egress) + €1 (requests) ≈ €40 |
€12 (storage) + €10 (egress) + €0.6 (requests) ≈ €22 |
Tebi often cheaper on storage base cost; egress parity varies per contract |
| Medium |
10 TB stored, 2 TB egress/month, 1M requests |
€230 + €160 + €6 ≈ €396 |
€120 + €100 + €6 ≈ €226 |
Cost gap widens on large stored volumes when provider base rates differ |
| Large |
100 TB stored, 10 TB egress/month, 10M requests |
€2,300 + €800 + €60 ≈ €3,160 |
€1,200 + €500 + €60 ≈ €1,760 |
Network egress and request patterns drive TCO; negotiation impacts enterprise rates |
Table notes: units rounded; actual rates vary by contract, committed use, sustained usage discounts and negotiated egress caps. For current GCS rates see GCS pricing. For a precise TCO, model expected egress, request mix and lifecycle policies.
What to measure and why
- PUT/GET latency (ms) for small objects (1 KB–64 KB)
- Throughput (MB/s) for large objects (100 MB–10 GB) with concurrent uploads
- IOPS / operations per second for metadata-heavy workloads
- Tools recommended: rclone, s3bench, iperf (network), and gsutil perf wrappers. rclone docs: rclone.
Reproducible micro-benchmark examples
- Single large upload (10 GB) with parallelism 16 using rclone:
rclone copy largefile.bin tebi:bucket-name --transfers 16 --buffer-size 64M
rclone copy largefile.bin gcs:bucket-name --transfers 16 --buffer-size 64M
- Small object latency test (1000 objects, 4 KB):
for i in $(seq 1 1000); do dd if=/dev/urandom of=obj_$i bs=4096 count=1; rclone copy obj_$i tebi:bucket-name; done
Typical observed differences (2025–2026)
- Cold-start latency: Slightly lower for providers with edge acceleration or CDNs; GCS benefits from global network and sustained internal optimizations.
- Throughput: GCS can scale to higher parallel throughput for multi-regional buckets when using Google backbone. Tebi throughput depends on chosen region, peering and plan.
- Operations/sec (metadata-heavy): S3-compatible offerings vary widely; testing with realistic workload profiles is essential.
Empirical testing on representative workloads is recommended before committing to large migrations.
Migration: step-by-step practical guide and commands
Strategy selection
- Lift-and-shift: Bulk copy objects as-is when maintaining object keys and metadata.
- Incremental cutover: Sync new/changed objects until DNS/application cutover.
- Hybrid approach: Read-only archive to target and dual-write for a transition window.
- rclone: S3-compatible and GCS support — ideal for bulk and incremental syncs. Docs: rclone docs.
Example: sync from GCS to Tebi (S3 API) with parallel transfers and resume:
rclone sync gcs:source-bucket tebi:dest-bucket --transfers 32 --checkers 16 --delete-excluded --size-only
- gsutil (GCS native): For GCS-to-GCS or exporting to local, then upload to S3-compatible target. Docs: gsutil.
Example: copy to local then to S3-compatible endpoint (not recommended for large data sets):
gsutil -m cp -r gs://source-bucket /local/path
rclone copy /local/path tebi:dest-bucket --transfers 16
- S3-CLI / s3cmd: For S3-native uploads to Tebi endpoint. Docs: s3cmd.
Example: set endpoint and upload:
s3cmd --configure # set host_base and host_bucket to tebi endpoint
s3cmd sync /local/path/ s3://dest-bucket
Practical migration checklist
- Inventory objects, lifecycle rules and metadata.
- Validate IAM, encryption keys and KMS mappings.
- Run small pilot copy and validate checksums.
- Schedule bulk sync with bandwidth throttling to avoid egress spikes.
- Perform incremental syncs until cutover window.
- Update application endpoints and test.
Compliance, residency and SLA: Europe-centric concerns
Data residency and certification matrix
- Google Cloud: Offers EU regional locations and compliance documentation for GDPR, ISO/IEC 27001, SOC 2. Verify at Google Cloud compliance and ISO details at ISO.
- Tebi: Focuses on European residency; confirm certifications and audit reports directly with vendor (link: Tebi).
Practical checklist for legal teams (England/EU)
- Confirm data controllers/processors and Data Processing Agreements (DPAs).
- Check Standard Contractual Clauses (SCCs) or adequacy mechanisms post Schrems II.
- Verify encryption at rest and in transit, KMS key locality and customer-managed keys (CMK).
- Review egress logging and access audit trails for regulatory purposes.
SLAs and support
- GCS: SLA documents specify availability guarantees and credits; see GCS SLA.
- Tebi: SLA may vary by plan; ask for enterprise SLA and support SLAs in procurement.
Frequently asked questions
What are the real savings when choosing Tebi over Google Cloud Storage?
Savings depend on storage tier, egress volume and request mix. For high-storage, low-egress workloads Tebi often reduces monthly storage charges. For high-throughput or analytics workloads integrated with BigQuery or Dataflow, GCS may reduce operational costs despite higher raw storage fees. Always model TCO with actual egress and request projections.
S3 compatibility commonly covers object API calls, but advanced features (like some metadata handling, or octet-stream streaming behaviors) can differ. Validate with test runs using rclone and s3cmd. Reference: rclone.
How long does a migration typically take for 10 TB?
Time depends on network bandwidth and parallelism. Example: with sustained 500 Mbps upload, 10 TB requires ~ (10,000 GB * 8) / 500 Mbps ≈ 160,000 seconds ≈ 44 hours of continuous transfer. Add verification, retries and throttling to avoid production impact.
Are there vendor lock-in risks with GCS?
Lock-in arises from platform-specific features (e.g., signed URLs formats, lifecycle rules integrated with other GCP services). Using standard S3 APIs and avoiding proprietary features reduces migration friction.
Conclusion
Choosing between Tebi and Google Cloud Storage requires balancing cost, performance and compliance. For European organizations with strict data-residency needs and predictable egress, Tebi often offers a competitive cost advantage. For analytics-heavy, high-throughput or globally distributed workflows, GCS provides deeper native integrations and global backbone advantages. The optimal path combines realistic TCO modeling, reproducible benchmarks and a phased migration with verification.
