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Business Intelligence · head to head

Amazon QuickSight vs BigQuery

Amazon QuickSight logo

Amazon QuickSight

Business Intelligence

Scalable, serverless BI by AWS

From
$3/month
Rated
-
Full reviewWebsite
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

The short version

  • Only BigQuery has a free tier, so it costs nothing to try first.
  • Each has a real cost: Amazon QuickSight reader and Reader Pro roles charged separately at $3 and $20/month; 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: Amazon QuickSight covers SPICE In-memory Engine, BigQuery covers Serverless compute.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Amazon QuickSight and BigQuery actually diverge.

Attributes where Amazon QuickSight and BigQuery differ
AttributeAmazon QuickSightBigQuery
Starting price$3/monthFree
Pricing modelper-userusage-based
Free tierNoYes
PlatformsAWSWeb, Cloud API
CategoryBusiness IntelligenceDatabases
Founded20062008

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 Amazon QuickSight

  • SPICE In-memory Engine
  • ML Insights
  • Natural Language Queries
  • Embedded Analytics
  • Pay-per-session
  • Redshift
  • S3
  • Athena

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.

Amazon QuickSight

  • Business intelligencenot BigQuery
  • Dashboard creationnot BigQuery
  • Data visualizationnot BigQuery

BigQuery

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

Where each one falls short

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

Amazon QuickSight

  • Reader and Reader Pro roles charged separately at $3 and $20/month
  • Author and Author Pro roles charged at $24 and $40/month
  • $250/month infrastructure fee required if Pro users or Q&A enabled
  • SPICE storage charged at $0.38/GB monthly (10 GB included)
  • Pixel-perfect reports start at $500/month for 500 monthly units
  • Alerts charged at $0.05-$0.50 per 1,000 metrics evaluated

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

Amazon QuickSight

$3/month
  • Reader$3/month
    • Dashboard viewing only
  • Reader Pro$20/month
    • Enhanced reader capabilities
  • Author$24/month
    • Dashboard creation and editing
  • Author Pro$40/month
    • Advanced authoring 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 Amazon QuickSight if

  • You need spice in-memory engine.
  • You work on AWS.
  • You also want ml insights.
Amazon QuickSight review

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

Questions people ask

Is Amazon QuickSight or BigQuery better?
Neither clearly leads. Amazon QuickSight starts at $3/month and BigQuery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon QuickSight or BigQuery?
BigQuery has a free tier; the other does not. Paid plans start at $3/month for Amazon QuickSight and Free for BigQuery.
Does Amazon QuickSight or BigQuery run on more platforms?
Amazon QuickSight runs on AWS. 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. Amazon QuickSight starts at $3/month.
What is Amazon QuickSight best used for?
Amazon QuickSight is most often used for business intelligence, dashboard creation, data visualization. Of those, business intelligence and dashboard creation are not what BigQuery is typically brought in for.
What can Amazon QuickSight do that BigQuery cannot?
Amazon QuickSight covers SPICE In-memory Engine, ML Insights, Natural Language Queries, Embedded Analytics. BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering.

Answered from the vendors’ own pages

Amazon QuickSight: What does Amazon QuickSight cost per user?

QuickSight pricing varies by user role. Readers start at $3/month, Reader Pro at $20/month, Authors at $24/month, and Author Pro at $40/month. All prices are per user per month.

Source
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.

Amazon QuickSight: Does QuickSight charge an infrastructure fee?

Yes, QuickSight charges an infrastructure fee of $250/month per account if the account has at least one Pro user, has Q&A enabled via topics, or has dashboard Q&A enabled.

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.

Amazon QuickSight: What are QuickSight's session capacity pricing options?

Session capacity pricing starts at $250/month for 500 sessions. Annual plans range from $20,000/year for 50,000 sessions to $258,000/year for 1,600,000 sessions, with volume discounts reducing unit costs from $0.50 to $0.16 per additional session.

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.

Amazon QuickSight: How much does additional SPICE storage cost?

Additional SPICE storage beyond the included 10 GB costs $0.38 per GB per month. Authors receive 10 GB included, but Readers do not.

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.

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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