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Databases · head to head

BigQuery vs ProfitWell

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
ProfitWell logo

ProfitWell

Business Intelligence

Revenue analytics by Paddle

From
Free
Rated
-
Full reviewWebsite

The short version

  • 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.; ProfitWell profitWell is now part of Paddle and its pricing page redirects to paddle.com, so it is no longer sold or priced independently
  • They diverge on capability: BigQuery covers Serverless compute, ProfitWell covers Free Metrics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and ProfitWell actually diverge.

Attributes where BigQuery and ProfitWell differ
AttributeBigQueryProfitWell
Pricing modelusage-basedfreemium
PlatformsWeb, Cloud APIWeb, Api
CategoryDatabasesBusiness Intelligence
Founded20082012

Identical on both: starting price (Free), free tier (Yes), 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 ProfitWell

  • Free Metrics
  • Churn Reduction
  • Price Optimization
  • Revenue Recognition
  • Benchmarking
  • Stripe
  • Chargebee
  • Recurly

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 ProfitWell
  • Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot ProfitWell
  • Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot ProfitWell
  • Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot ProfitWell

ProfitWell

  • Subscription revenue metrics and churn reportingnot BigQuery
  • Recovering failed payments and reducing involuntary churnnot 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.

ProfitWell

  • ProfitWell is now part of Paddle and its pricing page redirects to paddle.com, so it is no longer sold or priced independently
  • Reaching any figure requires going through Paddle's own pricing rather than a ProfitWell rate card

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

ProfitWell

Free
  • Free MetricsFree
    • Revenue Metrics
    • Dashboards
    • Basic Reports
  • RetainFree
    • Churn Reduction
    • Payment Recovery
    • Custom Pricing

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 ProfitWell if

  • You need free metrics.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want churn reduction.
ProfitWell review

Questions people ask

Is BigQuery or ProfitWell better?
Neither clearly leads. BigQuery starts at Free and ProfitWell at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or ProfitWell?
BigQuery starts at Free and ProfitWell at Free.
Does BigQuery or ProfitWell run on more platforms?
BigQuery runs on Web, Cloud API. ProfitWell runs on Web, Api.
Can I use BigQuery for free?
Both have a free tier, so you can try either at no cost before committing.
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 ProfitWell is typically brought in for.
What can BigQuery do that ProfitWell cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. ProfitWell covers Free Metrics, Churn Reduction, Price Optimization, Revenue Recognition.

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.

ProfitWell: Is ProfitWell still available as a standalone product?

ProfitWell has been integrated into Paddle. The ProfitWell Metrics analytics tool is now part of Paddle's suite and is available at no cost.

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.

ProfitWell: What is Paddle's standard pricing model?

Paddle charges 5% plus 50 cents per checkout transaction on its standard pay-as-you-go plan. Custom pricing is available for products under $10 or for customers requiring invoicing.

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.

ProfitWell: What is included in Paddle's all-inclusive pricing?

Paddle's standard plan includes tax and compliance, unified billing, churn prevention tools, fraud protection, and 24/7 customer support. No separate monthly or hidden fees apply.

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.

ProfitWell: What is the minimum spend required for Paddle's enterprise plan?

Paddle offers custom enterprise pricing with negotiated rates for scaling and established businesses. Customers receive tailored pricing aligned with their business model and access to premium support and advisory services.

Source
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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