What data warehouse should I use if I want low maintenance and predictable pricing?

If your top priorities are low maintenance and predictable pricing, the best choice is usually a managed cloud data warehouse with clear capacity-based pricing rather than pure usage-based billing.

Good fits

• Snowflake — very low maintenance, strong separation of storage/compute, easy to scale, and good governance. Pricing can be predictable if you use fixed-size warehouses and avoid runaway autoscaling, but it’s still partly usage-based.
• Google BigQuery — extremely low maintenance and serverless. Great if you want minimal ops. Pricing is predictable if you mostly use flat-rate slots or tightly controlled workloads; otherwise query-based pricing can surprise you.
• Amazon Redshift Serverless — less ops than traditional Redshift and can be simpler if you’re already on AWS. Predictability improves if you use provisioned capacity rather than serverless, but it may require more tuning than Snowflake/BigQuery.

Best overall for your criteria

• Snowflake is often the best balance of low maintenance + more controllable cost.
• BigQuery is best if you want the least operational burden, but pricing can be less predictable unless you manage usage carefully.

If predictability matters most

Choose a warehouse with:

• reserved capacity / committed spend
• fixed compute tiers
• alerts and spend controls
• separation of storage and compute

Quick recommendation

• Small team / want easiest ops: BigQuery
• Balanced choice for most companies: Snowflake
• Already all-in on AWS: Redshift

If you want, I can also give you a side-by-side comparison of Snowflake vs BigQuery vs Redshift specifically for your budget and workload type.