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Business Intelligence · head to head

Google Data Studio vs Exa

Google Data Studio logo

Google Data Studio

Business Intelligence

Free data visualization by Google

From
Free
Rated
-
E

Exa

Business Intelligence

Web search, built for AI agents

From
On request
Rated
-

The short version

  • Only Google Data Studio has a free tier, so it costs nothing to try first.
  • Each has a real cost: Google Data Studio google Data Studio has been renamed Looker Studio; the vendor's own landing page states it is free to use ("It's easy and free"), with no enterprise pricing tier visible on the consumer product itself.; Exa pricing is metered per 1,000 requests and stacks by feature: $7 per 1,000 basic searches, $12 to $15 per 1,000 for deep search variants, and separate per-ACU and per-search charges for the Agent product, as of August 2026.

Where they differ

Only the attributes on which Google Data Studio and Exa actually diverge.

Attributes where Google Data Studio and Exa differ
AttributeGoogle Data StudioExa
Starting priceFreeOn request
Pricing modelfreeusage-based
Free tierYesNo
CategoryUnknownBusiness Intelligence
Founded1998Unknown

Identical on both: platforms (Web), 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 Google Data Studio

  • Free Platform
  • Real-time Collaboration
  • Custom Visualizations
  • Data Blending
  • Sharing
  • Google Analytics
  • BigQuery
  • Google Sheets

Only in Exa

Nothing recorded that Google Data Studio does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Google Data Studio

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

Exa

No use cases recorded yet. See the Exa review.

Where each one falls short

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

Google Data Studio

  • Google Data Studio has been renamed Looker Studio; the vendor's own landing page states it is free to use ("It's easy and free"), with no enterprise pricing tier visible on the consumer product itself.

Exa

  • Pricing is metered per 1,000 requests and stacks by feature: $7 per 1,000 basic searches, $12 to $15 per 1,000 for deep search variants, and separate per-ACU and per-search charges for the Agent product, as of August 2026.

Pricing, plan by plan

Google Data Studio

Free
  • FreeFree
    • Unlimited Reports
    • Data Connectors
    • Collaboration

Exa

On request

No published plan breakdown. See the Exa review.

Which should you pick?

Choose Google Data Studio if

  • You need free platform.
  • You want to start without paying.
  • You also want real-time collaboration.

Choose Exa if

Nothing in the data separates Exa from Google Data Studio on the points above - pick on price and on how each one feels to use.

Questions people ask

Is Google Data Studio or Exa better?
Neither clearly leads. Google Data Studio starts at Free and Exa at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Data Studio or Exa?
Google Data Studio has a free tier; the other does not. Paid plans start at Free for Google Data Studio and On request for Exa.
Does Google Data Studio or Exa run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Google Data Studio for free?
Yes. Google Data Studio has a free tier, so you can try it without paying. Exa starts at On request.
What is Google Data Studio best used for?
Google Data Studio is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Exa is typically brought in for.
What can Google Data Studio do that Exa cannot?
Google Data Studio covers Free Platform, Real-time Collaboration, Custom Visualizations, Data Blending.

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