Softwr

Databases · head to head

BigQuery vs Hotjar

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
Hotjar logo

Hotjar

E-Commerce

Understand how users behave on your site

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.; Hotjar website performance impact - Hotjar tracking code can cause noticeable slowdowns affecting site speed and Google rankings
  • They diverge on capability: BigQuery covers Serverless compute, Hotjar covers Heatmaps.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Hotjar actually diverge.

Attributes where BigQuery and Hotjar differ
AttributeBigQueryHotjar
Pricing modelusage-basedUnknown
PlatformsWeb, Cloud APIWeb
CategoryDatabasesE-Commerce
Founded20082014

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 Hotjar

  • Heatmaps
  • Session recordings
  • Feedback widgets
  • Surveys
  • User interviews
  • Conversion funnels
  • Form analytics
  • Rage click detection

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

Hotjar

  • User behavior analysisnot BigQuery
  • Conversion optimizationnot BigQuery
  • UX researchnot BigQuery
  • Customer feedbacknot BigQuery
  • Usability testingnot 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.

Hotjar

  • Website performance impact - Hotjar tracking code can cause noticeable slowdowns affecting site speed and Google rankings
  • Session recording limits - free and lower-tier plans have monthly session recording caps that must be sampled above the limit
  • Inaccurate heatmaps on dynamic pages - heatmaps fail to display correctly on pages with modals, sticky navigation bars, and pop-up overlays
  • No mobile app - only web-based access available
  • Not real-time analytics - includes slight data processing delay

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

Hotjar

Free

No published plan breakdown. See the Hotjar 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 Hotjar if

  • You need heatmaps.
  • You want to start without paying.
  • You also want session recordings.
Hotjar review

Questions people ask

Is BigQuery or Hotjar better?
Neither clearly leads. BigQuery starts at Free and Hotjar at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Hotjar?
BigQuery starts at Free and Hotjar at Free.
Does BigQuery or Hotjar run on more platforms?
BigQuery runs on Web, Cloud API. Hotjar runs on Web.
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 Hotjar is typically brought in for.
What can BigQuery do that Hotjar cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Hotjar covers Heatmaps, Session recordings, Feedback widgets, Surveys.

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.

Hotjar: Does Hotjar have a free tier?

Yes. Hotjar's free plan (now under Contentsquare) includes 200,000 monthly sessions, 10,000 session replays, and unlimited heatmaps, with no time limit on the free tier.

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.

Hotjar: Can I export my data from Hotjar?

Yes. Hotjar allows exporting heatmaps as JPG images, survey responses as CSV files, and session recording metadata. Advanced export options are available through the Hotjar API.

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.

Hotjar: Does Hotjar provide real-time analytics?

No. Hotjar has a slight delay in data processing and does not offer true real-time analytics compared to some competitors.

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.

Hotjar: What integrations does Hotjar support?

Hotjar integrates with Google Analytics, Google Tag Manager, Slack, HubSpot, Jira, Linear, Microsoft Teams, Zapier, and hundreds of other tools through its API and partner integrations.

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.

Share

Related pages

More on BigQuery

More on Hotjar

Keep looking

Other head to heads