Softwr

Database & Data Management · head to head

Convex vs BigQuery

C

Convex

Database & Data Management

The reactive backend platform that keeps up with you and your agents

From
On request
Rated
-
BigQuery logo

BigQuery

Database & Data Management

Serverless, highly scalable enterprise data warehouse

From
Free
Rated
-

The short version

  • Only BigQuery has a free tier, so it costs nothing to try first.
  • Each has a real cost: Convex the Free and Starter tier includes only 1 million function calls and 0.5 GB of database storage per month before per-unit overage charges of $2.20 per million calls apply, as of August 2026.; BigQuery query costs can become substantial for organizations with high query volumes

Where they differ

Only the attributes on which Convex and BigQuery actually diverge.

Attributes where Convex and BigQuery differ
AttributeConvexBigQuery
Starting priceOn requestFree
Free tierNoYes
PlatformsWebWeb, Cloud API
FoundedUnknown2008

Identical on both: pricing model (usage-based), user rating (Not yet rated), category (Database & Data Management).

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 Convex

Nothing recorded that BigQuery does not also cover.

Only in BigQuery

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

What people use each for

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

Convex

No use cases recorded yet. See the Convex review.

BigQuery

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

Where each one falls short

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

Convex

  • The Free and Starter tier includes only 1 million function calls and 0.5 GB of database storage per month before per-unit overage charges of $2.20 per million calls apply, as of August 2026.

BigQuery

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

Pricing, plan by plan

Convex

On request

No published plan breakdown. See the Convex review.

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 Convex if

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

Choose BigQuery if

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

Questions people ask

Is Convex or BigQuery better?
Neither clearly leads. Convex starts at On request and BigQuery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Convex or BigQuery?
BigQuery has a free tier; the other does not. Paid plans start at On request for Convex and Free for BigQuery.
Does Convex or BigQuery run on more platforms?
Convex runs on Web. 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. Convex starts at On request.
What can Convex do that BigQuery 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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