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Databases · head to head

BigQuery vs Qlik Sense

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
Qlik Sense logo

Qlik Sense

Business Intelligence

Self-service data analytics and visualization

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.; Qlik Sense expensive pricing structure, particularly for enterprise users and large data volumes
  • They diverge on capability: BigQuery covers Serverless compute, Qlik Sense covers Associative Engine.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Qlik Sense actually diverge.

Attributes where BigQuery and Qlik Sense differ
AttributeBigQueryQlik Sense
Pricing modelusage-basedUnknown
PlatformsWeb, Cloud APIWeb (Cloud), Desktop (Windows), Mobile (iOS/Android)
CategoryDatabasesBusiness Intelligence
Founded20081993

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 Qlik Sense

  • Associative Engine
  • AI Insights
  • Augmented Analytics
  • Natural Language
  • Alerting
  • SAP
  • Salesforce
  • ServiceNow

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

Qlik Sense

  • Self-service analyticsnot BigQuery
  • Data explorationnot BigQuery
  • Ad-hoc reportingnot BigQuery
  • Collaborative analysisnot BigQuery
  • Embedded analyticsnot 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.

Qlik Sense

  • Expensive pricing structure, particularly for enterprise users and large data volumes
  • Performance degradation when working with very large datasets
  • Limited field capacity and strict 10 GB data limit on Starter plan ($300/month)
  • Weak date handling in set analysis compared to other BI tools
  • Poor API usability, particularly for Python scripts and integration workflows

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

Qlik Sense

Free
  • Qlik Sense Business (Desktop)Free
    • Personal dashboards
    • No content sharing
    • Desktop only
  • Starter$300/month
    • 10 users
    • 10 GB data for analysis
    • Cloud-based
  • Standard$825/month
    • Unlimited users
    • 25 GB data for analysis
    • Advanced analytics
  • Premium$2750/month
    • Unlimited users
    • 50 GB data for analysis
    • Enhanced support

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 Qlik Sense if

  • You need associative engine.
  • You want to start without paying.
  • You work on Web (Cloud), Desktop (Windows), Mobile (iOS/Android).
  • You also want ai insights.
Qlik Sense review

Questions people ask

Is BigQuery or Qlik Sense better?
Neither clearly leads. BigQuery starts at Free and Qlik Sense at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Qlik Sense?
BigQuery starts at Free and Qlik Sense at Free.
Does BigQuery or Qlik Sense run on more platforms?
BigQuery runs on Web, Cloud API. Qlik Sense runs on Web (Cloud), Desktop (Windows), Mobile (iOS/Android).
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 Qlik Sense is typically brought in for.
What can BigQuery do that Qlik Sense cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Qlik Sense covers Associative Engine, AI Insights, Augmented Analytics, Natural Language.

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.

Qlik Sense: Does Qlik Sense have a free tier?

Qlik Sense Business (Desktop) is permanently free for individual users for creating personal dashboards, though content cannot be shared. Qlik Cloud Analytics offers a 30-day free trial with full features.

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.

Qlik Sense: What is the entry price for Qlik Cloud Analytics?

Qlik Cloud Analytics Starter plan starts at $300 per month (annual billing) for 10 users and 10 GB of data. Standard is $825/month for 25 GB with unlimited users. Premium is $2,750/month for 50 GB.

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.

Qlik Sense: How many users can access Qlik Sense?

The Starter plan is limited to 10 users. Standard, Premium, and Enterprise plans include unlimited users and charge based on data capacity (gigabytes) rather than seat count.

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.

Qlik Sense: What is the Associative Engine in Qlik Sense?

The Associative Engine is Qlik's proprietary technology that automatically discovers and explores all possible relationships between data points, enabling intuitive analysis compared to traditional query-based BI tools.

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.

Qlik Sense: Does Qlik Sense support self-service analytics?

Yes, Qlik Sense is designed for self-service business intelligence, allowing business users to create dashboards and explore data without extensive technical knowledge, though complex implementations require expertise.

Source
Qlik Sense: Is Qlik Sense available on-premises?

Yes, Qlik offers both cloud-based (Qlik Cloud Analytics) and on-premises deployment options, though on-premises licensing requires a separate quote.

Source
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