Business Intelligence · head to head
Baremetrics vs BigQuery

Baremetrics
Business Intelligence
Subscription analytics for SaaS
- From
- $75/month
- Rated
- -

BigQuery
Databases
Google Cloud's serverless analytical warehouse, billed either by bytes scanned per query or by reserved compute slots.
- From
- Free
- Rated
- -
The short version
- Only BigQuery has a free tier, so it costs nothing to try first.
- Each has a real cost: Baremetrics priced on the revenue it measures, so the bill rises with your ARR rather than with usage: $75 a month up to $360K ARR, $255 to $3.6M and $1,152 above that; 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.
- They diverge on capability: Baremetrics covers Revenue Metrics, BigQuery covers Serverless compute.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Baremetrics and BigQuery actually diverge.
| Attribute | Baremetrics | BigQuery |
|---|---|---|
| Starting price | $75/month | Free |
| Pricing model | subscription | usage-based |
| Free tier | No | Yes |
| Platforms | Web, Api | Web, Cloud API |
| Category | Business Intelligence | Databases |
| Founded | 2013 | 2008 |
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 Baremetrics
- Revenue Metrics
- Forecasting
- Benchmarking
- Cancellation Insights
- Email Reports
- Stripe
- Braintree
- Recurly
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
What people use each for
The jobs each tool is most often brought in to do.
Baremetrics
- Subscription metrics and MRR reporting from Stripe and similar billing systemsnot BigQuery
- Churn and retention analysisnot BigQuery
- Failed payment recovery through the add-onnot BigQuery
- Cancellation surveys to understand why customers leavenot BigQuery
BigQuery
- A warehouse for an organisation already on Google Cloud, where identity, logging and billing are consolidated in the same placenot Baremetrics
- Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot Baremetrics
- Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot Baremetrics
- Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot Baremetrics
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Baremetrics
- Priced on the revenue it measures, so the bill rises with your ARR rather than with usage: $75 a month up to $360K ARR, $255 to $3.6M and $1,152 above that
- Payment Recovery and Cancellation Insights are separate add-ons at $129 a month each
- The advertised prices assume annual billing with a discount of up to 35 percent
- There is no free tier, only a trial
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.
Pricing, plan by plan
Baremetrics
$75/month- Launch$75/month
- Target $0-360K ARR
- Single integration
- Core analytics features
- Growth$255/month
- Target $360K-$3.6M ARR
- Two integrations
- Advanced features
- Scale$1152/month
- Target $3.6M+ ARR
- Unlimited integrations
- Enterprise features
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
Which should you pick?
Choose Baremetrics if
- You need revenue metrics.
- You work on Web, Api.
- You also want forecasting.
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.
Questions people ask
- Is Baremetrics or BigQuery better?
- Neither clearly leads. Baremetrics starts at $75/month and BigQuery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Baremetrics or BigQuery?
- BigQuery has a free tier; the other does not. Paid plans start at $75/month for Baremetrics and Free for BigQuery.
- Does Baremetrics or BigQuery run on more platforms?
- Baremetrics runs on Web, Api. BigQuery runs on Web, Cloud API.
- Can I use BigQuery for free?
- Yes. BigQuery has a free tier, so you can try it without paying. Baremetrics starts at $75/month.
- What is Baremetrics best used for?
- Baremetrics is most often used for subscription metrics and mrr reporting from stripe and similar billing systems, churn and retention analysis, failed payment recovery through the add-on, cancellation surveys to understand why customers leave. Of those, subscription metrics and mrr reporting from stripe and similar billing systems and churn and retention analysis are not what BigQuery is typically brought in for.
- What can Baremetrics do that BigQuery cannot?
- Baremetrics covers Revenue Metrics, Forecasting, Benchmarking, Cancellation Insights. BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering.
Answered from the vendors’ own pages
Baremetrics: How much does Baremetrics' Launch plan cost per month?
Baremetrics' Launch plan starts at $75 per month with annual billing, or $49 per month with annual prepayment (35% discount when paying yearly).
SourceBigQuery: 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.
Baremetrics: What is the difference between Baremetrics plans?
Launch includes one integration and core analytics; Growth ($255/month) adds a second integration and advanced dashboards; Scale ($1,152/month) includes unlimited integrations and enterprise features.
SourceBigQuery: 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.
Baremetrics: What add-ons are available in Baremetrics?
Payment Recovery and Cancellation Insights are available as add-ons at $129 per month each to automate failed payment recovery and churn reduction.
SourceBigQuery: 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.
Baremetrics: Is there a free trial for Baremetrics?
Yes, Baremetrics offers a free trial available for new users to test the platform before committing to a paid plan.
SourceBigQuery: 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.
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.
Related pages
More on Baremetrics
Other head to heads
- Baremetrics vs MicroStrategy
- Baremetrics vs Power BI
- Baremetrics vs Sisense
- Baremetrics vs Amazon QuickSight
- Baremetrics vs ChartMogul
- Baremetrics vs ProfitWell
- Baremetrics vs Luzmo
- Baremetrics vs Stripe Dashboard
- Baremetrics vs Geckoboard
- Baremetrics vs Exa
- Baremetrics vs Klipfolio
- Baremetrics vs Databox
- Baremetrics vs Jedox
- Baremetrics vs Logi Analytics
- Baremetrics vs NetBase Quid
- Baremetrics vs Phocas
- Baremetrics vs Preset
- Baremetrics vs Amazon Redshift
- Baremetrics vs Firebolt
- Baremetrics vs MotherDuck
- Baremetrics vs FaunaDB
- Baremetrics vs DuckDB
- Baremetrics vs TiDB
- Baremetrics vs Apache Druid
- Baremetrics vs ClickHouse
- Baremetrics vs PlanetScale
- Baremetrics vs turbopuffer
- Baremetrics vs VerneMQ
- Baremetrics vs Vespa
- Baremetrics vs Xata
- Baremetrics vs YugabyteDB
- Baremetrics vs Zilliz
- Baremetrics vs Amazon RDS
- Baremetrics vs Apache Flink
- Baremetrics vs DynamoDB
- BigQuery vs MicroStrategy
- BigQuery vs Power BI
- BigQuery vs Sisense
- BigQuery vs Amazon QuickSight
- BigQuery vs ChartMogul
- BigQuery vs ProfitWell
- BigQuery vs Luzmo
- BigQuery vs Stripe Dashboard
- BigQuery vs Geckoboard
- BigQuery vs Exa
- BigQuery vs Klipfolio
- BigQuery vs Databox
- BigQuery vs Jedox
- BigQuery vs Logi Analytics
- BigQuery vs NetBase Quid
- BigQuery vs Phocas
- BigQuery vs Preset
- BigQuery vs Amazon Redshift
- BigQuery vs Firebolt
- BigQuery vs MotherDuck
- BigQuery vs FaunaDB
- BigQuery vs DuckDB
- BigQuery vs TiDB
- BigQuery vs Apache Druid
- BigQuery vs ClickHouse
- BigQuery vs PlanetScale
- BigQuery vs turbopuffer
- BigQuery vs VerneMQ
- BigQuery vs Vespa
- BigQuery vs Xata
- BigQuery vs YugabyteDB
- BigQuery vs Zilliz
- BigQuery vs Amazon RDS
- BigQuery vs Apache Flink
- BigQuery vs DynamoDB
