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Databases · head to head

BigQuery vs Deno Deploy

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
Deno Deploy logo

Deno Deploy

Cloud

Serverless JavaScript at the edge

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.; Deno Deploy smaller ecosystem compared to AWS Lambda with fewer third-party integrations
  • They diverge on capability: BigQuery covers Serverless compute, Deno Deploy covers Edge Functions.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Deno Deploy actually diverge.

Attributes where BigQuery and Deno Deploy differ
AttributeBigQueryDeno Deploy
Pricing modelusage-basedUnknown
PlatformsWeb, Cloud APICloud/Web
CategoryDatabasesCloud
Founded20082021

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 Deno Deploy

  • Edge Functions
  • Deno KV
  • Automatic HTTPS
  • Global Distribution
  • Zero Config Deploy
  • Git Integration
  • Instant Rollbacks
  • Web Standard APIs

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

Deno Deploy

  • API endpointsnot BigQuery
  • Edge functionsnot BigQuery
  • Static sitesnot BigQuery
  • Real-time appsnot 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.

Deno Deploy

  • Smaller ecosystem compared to AWS Lambda with fewer third-party integrations
  • Less mature than established serverless platforms; newer company and platform
  • 1GB deployment size limit may restrict larger applications
  • 512MB memory limit lower than some competitors for memory-intensive workloads
  • Smaller user base and community compared to Lambda or Netlify

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

Deno Deploy

Free
  • FreeFree
    • 1M requests/month
    • 100GB outbound bandwidth
    • 50ms CPU time per request
  • Pro$20/month
    • Unlimited requests
    • 5GB KV storage
    • Priority 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 Deno Deploy if

  • You need edge functions.
  • You want to start without paying.
  • You work on Cloud/Web.
  • You also want deno kv.
Deno Deploy review

Questions people ask

Is BigQuery or Deno Deploy better?
Neither clearly leads. BigQuery starts at Free and Deno Deploy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Deno Deploy?
BigQuery starts at Free and Deno Deploy at Free.
Does BigQuery or Deno Deploy run on more platforms?
BigQuery runs on Web, Cloud API. Deno Deploy runs on Cloud/Web.
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 Deno Deploy is typically brought in for.
What can BigQuery do that Deno Deploy cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Deno Deploy covers Edge Functions, Deno KV, Automatic HTTPS, Global Distribution.

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.

Deno Deploy: What does Deno Deploy's free tier include?

Deno Deploy free tier includes 1 million requests per month, 100 GB of outbound bandwidth, 50 milliseconds of CPU time per request, 50 custom domains, 1 GiB of KV storage, and up to 5 team members.

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.

Deno Deploy: What are Deno Deploy's Pro plan features and pricing?

Deno Deploy Pro costs $20/month and removes request limits, increases KV storage to 5GB, and includes priority support. Additional storage beyond 5GB costs $0.75/GiB.

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.

Deno Deploy: What are the deployment size and memory limits for Deno Deploy?

The total size of all files within a deployment (source files and static files) should not exceed 1 gigabyte. Applications have a maximum memory allocation of 512MB.

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.

Deno Deploy: Does Deno Deploy support TypeScript natively?

Yes. Deno Deploy runs TypeScript natively with zero-configuration TypeScript support. Code can be written in TypeScript or JavaScript and runs on the same V8 engine.

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.

Deno Deploy: What security features does Deno Deploy provide?

Deno Deploy features an opt-in permission system to mitigate supply chain attacks. Permissions can be explicitly granted for file, network, and environment access, running code securely by default.

Source
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