Turso vs Cloudflare D1 2026 Benchmark Comparison

Do not compare only throughput; compare stable workloads and incident cost.

1) Workload design

Fix read/write ratios, concurrency and dataset size, then compare p95/p99.

2) Cost decomposition

Count backups, restore windows, alerting, and operator time.

3) Operational guardrails

Set retry and timeout thresholds first; no unbounded recovery loops.

4) Decision flow

Pilot, split paths, then migrate in two-week cycles.

Practical insight

Operation policy is often more important than micro SQL tuning.

FAQ

Q1. How to choose between Turso and D1?

Compare workloads by read/write ratio and operational recovery.

Q2. What if latency changes after deploy?

Keep p95, retry ratio, and timeout error in one dashboard.

Q3. Can both be used together?

Yes, when read/write paths are split by routing policy.

Q4. How long should pilot last?

A 2-week pilot is minimum for stable comparison.

Q5. Which is better for costs?

Include backup, restore, and incident handling in total cost.

Q6. How to avoid retries exploding?

Set bounded retry counts and exponential backoff.

Q7. What is migration order?

Pilot then split read/write paths and migrate incrementally.

Internal links

• Cloudflare D1 guide
• Turso guide
• Edge cost optimization
• Read/write split

Always run benchmarks under fixed scripts and compare drift for p95, retry ratio, and request cost.

• Always run benchmarks under fixed scripts and compare drift for p95, retry ratio, and request cost.
• Always run benchmarks under fixed scripts and compare drift for p95, retry ratio, and request cost.
• Always run benchmarks under fixed scripts and compare drift for p95, retry ratio, and request cost.
• Always run benchmarks under fixed scripts and compare drift for p95, retry ratio, and request cost.
• Always run benchmarks under fixed scripts and compare drift for p95, retry ratio, and request cost.
• Always run benchmarks under fixed scripts and compare drift for p95, retry ratio, and request cost.