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BigQuery vs Grist

BigQuery logo

BigQuery

Software

Serverless, highly scalable enterprise data warehouse

From
Free
Rated
-
Full reviewWebsite
G

Grist

Software

The evolution of spreadsheets

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only BigQuery has a free tier, so it costs nothing to try first.
  • Each has a real cost: BigQuery query costs can become substantial for organizations with high query volumes; Grist hosted plans run $10 to $29 per month per workspace, and the free self-hosted option requires running the software yourself to avoid that cost

Where they differ

Only the attributes on which BigQuery and Grist actually diverge.

Attributes where BigQuery and Grist differ
AttributeBigQueryGrist
Starting priceFreeOn request
Pricing modelusage-basedsubscription
Free tierYesNo
PlatformsWeb, Cloud APIWeb
Founded2008Unknown

Identical on both: user rating (Not yet rated), category (Unknown).

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 Architecture
  • Petabyte Scale
  • Real-time Analytics
  • Machine Learning
  • Geospatial Analysis
  • Streaming Ingestion
  • Standard SQL
  • Looker

Only in Grist

Nothing recorded that BigQuery does not also cover.

What people use each for

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

BigQuery

  • Business intelligencenot Grist
  • Data warehousingnot Grist
  • Real-time analyticsnot Grist
  • Reportingnot Grist
  • Machine learningnot Grist

Grist

No use cases recorded yet. See the Grist review.

Where each one falls short

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

BigQuery

  • Query costs can become substantial for organizations with high query volumes
  • Data egress from Google Cloud incurs additional charges

Grist

  • Hosted plans run $10 to $29 per month per workspace, and the free self-hosted option requires running the software yourself to avoid that cost

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

Grist

On request

No published plan breakdown. See the Grist review.

Which should you pick?

Choose BigQuery if

  • You need serverless architecture.
  • You want to start without paying.
  • You work on Web, Cloud API.
  • You also want petabyte scale.
BigQuery review

Choose Grist if

Nothing in the data separates Grist from BigQuery on the points above - pick on price and on how each one feels to use.

Grist review

Questions people ask

Is BigQuery or Grist better?
Neither clearly leads. BigQuery starts at Free and Grist at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Grist?
BigQuery has a free tier; the other does not. Paid plans start at Free for BigQuery and On request for Grist.
Does BigQuery or Grist run on more platforms?
BigQuery runs on Web, Cloud API. Grist runs on Web.
Can I use BigQuery for free?
Yes. BigQuery has a free tier, so you can try it without paying. Grist starts at On request.
What is BigQuery best used for?
BigQuery is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Grist is typically brought in for.
What can BigQuery do that Grist cannot?
BigQuery covers Serverless Architecture, Petabyte Scale, Real-time Analytics, Machine Learning.

Answered from the vendors’ own pages

BigQuery: How is BigQuery priced?

BigQuery charges $5 per terabyte of data processed in on-demand queries. Storage is billed separately: active storage is charged per GB, and data inactive for 90+ days moves to long-term storage at reduced rates.

Source
BigQuery: What is BigQuery's architecture?

BigQuery separates compute and storage, using Google's Colossus for distributed storage and Borg for computation, allowing independent scaling of each.

Source
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Related pages

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