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Databases · head to head

BigQuery vs Postman

BigQuery logo

BigQuery

Databases

Google Cloud's serverless analytical warehouse, billed either by bytes scanned per query or by reserved compute slots.

From
Free
Free plan
Yes
Visit BigQueryFull review
Postman logo

Postman

Developer Tools

The API platform for building and using APIs

From
Free
Free plan
Yes
Visit PostmanFull review

The short version

  • Postman is an API platform for building and using APIs.
  • Free plans on both; paid from $6.25/mo and $14/mo.
  • Only BigQuery lists serverless compute; only Postman lists API client.
  • Where Postman falls short: free plan limited to single user as of March 1, 2026, making it unsuitable for teams without paid plans.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which BigQuery and Postman actually diverge.

Attributes where BigQuery and Postman differ
AttributeBigQueryPostman
PlatformsWeb, APIWeb, Windows, macOS, Linux
CategoryDatabasesDeveloper Tools
Founded20082014

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: pricing model for Postman.

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 Postman

  • API client
  • Automated testing
  • Mock servers
  • Documentation
  • Monitors
  • Workspaces
  • Version control
  • API design

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

Postman

  • API testingnot BigQuery
  • API documentationnot BigQuery
  • API monitoringnot BigQuery
  • Team collaborationnot BigQuery
  • API developmentnot 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

Postman

  • Free plan limited to single user as of March 1, 2026, making it unsuitable for teams without paid plans
  • Only 25 collection runs per month and 1,000 API calls/month on free tier
  • Removed local-only Scratch Pad mode in 2023, forcing cloud account creation and sync
  • Requires Postman account and internet connection for most features
  • Cloud-first architecture with mandatory syncing to Postman's cloud servers
  • No CI/CD integration or advanced security features on free plan

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

Postman

Free
  • FreeFree
    • 1 user
    • 25 collection runs/month
    • 1,000 API calls/month
  • Team$14/mo
    • Team collaboration
    • Shared workspaces
    • API mocking
  • Professional$29/mo
    • Team features
    • Advanced security
    • SSO
  • Enterprise$49/mo
    • Professional features
    • Custom integrations
    • Priority support

Which should you pick?

Choose BigQuery if

  • You need serverless compute.
  • You want to start without paying.
  • You work on Web, API.
  • You also want separation of storage and compute.
BigQuery review

Choose Postman if

  • You need api client.
  • You want to start without paying.
  • You work on Web, Windows, macOS, Linux.
  • You also want automated testing.
Postman review

Questions people ask

Is BigQuery or Postman better?
Neither clearly leads. BigQuery starts at Free and Postman at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Postman?
BigQuery starts at Free and Postman at Free.
Does BigQuery or Postman run on more platforms?
BigQuery runs on Web, API. Postman runs on Web, Windows, macOS, Linux.
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 Postman is typically brought in for.
What can BigQuery do that Postman cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Postman covers API client, Automated testing, Mock servers, Documentation.

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.

Postman: What is the cost of Postman?

Postman has a free plan limited to 1 user, 25 collection runs/month, 1,000 API calls/month. Team plans start at $14/user/month for Basic. Professional at $29/user/month, and Enterprise at $49/user/month.

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.

Postman: Can I use Postman offline?

Postman requires an internet connection to sync collections to the cloud. Since 2023, the Scratch Pad local-only mode was removed. Users must sign in with a Postman account, and collections sync to cloud by default. Offline work is possible but limited without cloud sync features.

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.

Postman: Does Postman have team collaboration?

Team collaboration is not available on the free plan (limited to 1 user). Team plans start at $14/user/month and include shared workspaces, real-time collaboration, and team management features.

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.

Postman: What are the free plan limits?

Free plan allows: 1 user only, 25 collection runs per month, 1,000 API calls/month, and 1,000 mock server calls/month. No CI/CD integration or advanced security features.

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.

Postman: Does Postman work with other development tools?

Postman integrates with Git repositories, offers a Node.js runner (Newman) for automation, and connects with popular CI/CD platforms. Teams using git-native workflows may prefer alternatives like Bruno.

Source
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