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Databases · head to head

BigQuery vs Wasabi

BigQuery logo

BigQuery

Databases

Google Cloud's serverless analytical warehouse, billed either by bytes scanned per query or by reserved compute slots.

From
Free
Rated
-
Full reviewWebsite
Wasabi logo

Wasabi

Cloud

Hot cloud storage without egress fees

From
$7.99/month
Rated
-
Full reviewWebsite

The short version

  • Only BigQuery has a free tier, so it costs nothing to try first.
  • Each has a real cost: BigQuery on-demand billing charges for bytes read from every column a query references, so an unqualified select or a missing partition filter turns a routine query into a large bill, and the cost is discovered after the fact rather than at review time.; Wasabi 90-day minimum storage duration with no option to delete before full period without penalty
  • They diverge on capability: BigQuery covers Serverless compute, Wasabi covers Hot Cloud Storage.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Wasabi actually diverge.

Attributes where BigQuery and Wasabi differ
AttributeBigQueryWasabi
Starting priceFree$7.99/month
Pricing modelusage-basedUnknown
Free tierYesNo
PlatformsWeb, Cloud APIWeb, API
CategoryDatabasesCloud
Founded20082015

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in BigQuery

  • Serverless compute
  • Separation of storage and compute
  • Two pricing models
  • Partitioning and clustering
  • Materialised views
  • BigQuery ML
  • Storage Write API
  • BI Engine

Only in Wasabi

  • Hot Cloud Storage
  • S3 Compatible API
  • Object Lock
  • Versioning
  • Multi-region
  • Data Migration Tools
  • Immutability
  • Ransomware Protection

What people use each for

The jobs each tool is most often brought in to do.

BigQuery

  • A warehouse for an organisation already on Google Cloud, where identity, logging and billing are consolidated in the same placenot Wasabi
  • Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot Wasabi
  • Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot Wasabi
  • Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot Wasabi

Wasabi

  • Backup and recoverynot BigQuery
  • Media storagenot BigQuery
  • Archive replacementnot BigQuery
  • Ransomware protectionnot BigQuery

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

BigQuery

  • On-demand billing charges for bytes read from every column a query references, so an unqualified select or a missing partition filter turns a routine query into a large bill, and the cost is discovered after the fact rather than at review time.
  • There is no way to join tables that live in different regions, so a data estate split across regions for residency reasons has to be reconciled with copies and the storage and transfer that implies.
  • It is not built for point lookups; retrieving a single row has latency measured in hundreds of milliseconds or more, so BigQuery cannot serve an application's read path and always needs a second store in front of it.
  • Frequent small mutations run into DML concurrency limits and the cost of rewriting storage blocks, so a workload that updates individual rows continuously behaves badly compared with an append-only design.
  • The compute exists only inside Google Cloud, so while tables can be exported, the accumulated GoogleSQL, scheduled queries, authorised views, ML models and IAM structure do not move, and switching warehouses is a rewrite of the analytical layer.

Wasabi

  • 90-day minimum storage duration with no option to delete before full period without penalty
  • Significantly smaller global footprint than AWS with only 16 regions, resulting in higher latency for users in underserved regions
  • Performance can degrade with high-volume transactions requiring throughput management strategies
  • Hot storage only, no cold/archival storage tier for long-term data at lower cost
  • Support responsiveness gaps with teams experiencing multi-day waits for critical issue resolution

Pricing, plan by plan

BigQuery

Free
  • Free TierFree
    • 1TB queries/month
    • 10GB storage/month
    • Standard support
  • On-demand$6.25/TB
    • Pay per query
    • Pay per storage
    • All features

Wasabi

$7.99/month

No published plan breakdown. See the Wasabi review.

Which should you pick?

Choose BigQuery if

  • You need serverless compute.
  • You want to start without paying.
  • You work on Web, Cloud API.
  • You also want separation of storage and compute.
BigQuery review

Choose Wasabi if

  • You need hot cloud storage.
  • You work on Web, API.
  • You also want s3 compatible api.
Wasabi review

Questions people ask

Is BigQuery or Wasabi better?
Neither clearly leads. BigQuery starts at Free and Wasabi at $7.99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Wasabi?
BigQuery has a free tier; the other does not. Paid plans start at Free for BigQuery and $7.99/month for Wasabi.
Does BigQuery or Wasabi run on more platforms?
BigQuery runs on Web, Cloud API. Wasabi runs on Web, API.
Can I use BigQuery for free?
Yes. BigQuery has a free tier, so you can try it without paying. Wasabi starts at $7.99/month.
What is BigQuery best used for?
BigQuery is most often used for a warehouse for an organisation already on google cloud, where identity, logging and billing are consolidated in the same place, bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster running, event and clickstream analytics ingested continuously through the storage write api and queried without a load window, analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portability. Of those, a warehouse for an organisation already on google cloud, where identity, logging and billing are consolidated in the same place and bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster running are not what Wasabi is typically brought in for.
What can BigQuery do that Wasabi cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Wasabi covers Hot Cloud Storage, S3 Compatible API, Object Lock, Versioning.

Answered from the vendors’ own pages

BigQuery: How is BigQuery actually billed?

Storage is billed separately from compute. Compute is either on-demand, priced by the bytes a query reads from the referenced columns, or capacity-based, where you reserve autoscaling slots. Most cost surprises come from on-demand queries that scan more than expected.

Wasabi: What is Wasabi's pricing structure?

Wasabi offers pay-as-you-go pricing at $7.99 per TB per month as of July 2026, with no egress or API request fees. Reserved capacity plans are available for multi-year terms with volume discounts.

Source
BigQuery: How do I control query cost?

Partition and cluster tables so queries prune data, select only the columns needed, use materialised views for repeated aggregations, and set maximum bytes billed on queries so a runaway scan fails instead of billing.

Wasabi: Does Wasabi charge for data downloads or API calls?

No. Wasabi includes zero egress fees and zero API request fees, which is a major cost advantage over AWS S3. Customers can plan their budget to the penny without worrying about surprise data transfer charges.

Source
BigQuery: Can I use it without being on Google Cloud?

The service only runs on Google Cloud. BigQuery Omni can query data held in S3 or Azure storage, but the compute is still Google's and the account relationship is still with Google.

Wasabi: Is there a minimum storage duration requirement?

Yes. Wasabi enforces a 90-day minimum storage term. Users who delete data before 90 days are still charged for the full 90-day period.

Source
BigQuery: Is it suitable for serving application queries?

No. Latency for single-row reads is far too high. BigQuery is an analytical warehouse and application read paths need a transactional database or a cache in front of it.

Wasabi: Is Wasabi S3-compatible?

Yes. Wasabi Hot Cloud Storage is fully S3-compatible, meaning organizations can integrate it into existing workflows without rewriting application code used with AWS S3.

BigQuery: When should I move from on-demand to capacity pricing?

When on-demand spend becomes both large and predictable, or when unpredictable spend is a bigger problem than query queueing. The switch trades a variable bill for a fixed one plus contention between workloads.

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