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APIs · head to head

AWS API Gateway vs BigQuery

AWS API Gateway logo

AWS API Gateway

APIs

Fully managed API gateway service for creating and managing APIs at scale

From
Free
Rated
-
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
-

The short version

  • Each has a real cost: AWS API Gateway rEST APIs cost $3.50 per million calls against $1.00 for HTTP APIs, so the older and more featureful type is three and a half times dearer; 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.
  • They diverge on capability: AWS API Gateway covers REST APIs, BigQuery covers Serverless compute.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which AWS API Gateway and BigQuery actually diverge.

Attributes where AWS API Gateway and BigQuery differ
AttributeAWS API GatewayBigQuery
PlatformsAWS CloudWeb, Cloud API
CategoryAPIsDatabases
Founded20062008

Identical on both: starting price (Free), pricing model (usage-based), 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 AWS API Gateway

  • REST APIs
  • WebSocket APIs
  • HTTP APIs
  • Lambda
  • EC2
  • DynamoDB
  • CloudWatch
  • IAM

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

What people use each for

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

AWS API Gateway

  • Fronting Lambda functions with an HTTP endpointnot BigQuery
  • REST and HTTP API management with throttling and keysnot BigQuery
  • WebSocket APIs for real-time clientsnot BigQuery
  • Private APIs reachable only inside a VPCnot BigQuery
  • Publishing a developer portal for API consumersnot BigQuery

BigQuery

  • A warehouse for an organisation already on Google Cloud, where identity, logging and billing are consolidated in the same placenot AWS API Gateway
  • Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot AWS API Gateway
  • Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot AWS API Gateway
  • Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot AWS API Gateway

Where each one falls short

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

AWS API Gateway

  • REST APIs cost $3.50 per million calls against $1.00 for HTTP APIs, so the older and more featureful type is three and a half times dearer
  • Data transfer out is charged at $0.09 per GB on top of request pricing
  • WebSocket APIs bill connection minutes as well as messages, at $0.25 per million minutes
  • Private APIs avoid data transfer charges but incur AWS PrivateLink costs instead
  • The developer portal is $125 a month, with additional portal products at $12.50 each
  • The free tier lasts 12 months rather than being ongoing

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.

Pricing, plan by plan

AWS API Gateway

Free
  • Free Tier (12 months)Free
    • 1M REST API calls per month
    • 1M HTTP API calls per month
    • 1M WebSocket messages plus 750K connection minutes per month
  • HTTP APIs$1/per million requests (first 300M)
    • First 300M: $1.00 per million
    • Next 132M: $0.90 per million
    • Data transfer varies by volume
  • REST APIs$3.5/per million API calls
    • Edge Optimized and Regional: $3.50 per million (first tier)
    • Higher volumes: $2.80 then $2.38 per million
    • Data transfer: $0.09 per GB
  • WebSocket APIs$1/per million messages
    • Messages: $1.00 per million
    • Connection minutes: $0.25 per million minutes

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 AWS API Gateway if

  • You need rest apis.
  • You want to start without paying.
  • You work on AWS Cloud.
  • You also want websocket apis.

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.

Questions people ask

Is AWS API Gateway or BigQuery better?
Neither clearly leads. AWS API Gateway starts at Free and BigQuery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS API Gateway or BigQuery?
AWS API Gateway starts at Free and BigQuery at Free.
Does AWS API Gateway or BigQuery run on more platforms?
AWS API Gateway runs on AWS Cloud. BigQuery runs on Web, Cloud API.
Can I use AWS API Gateway for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS API Gateway best used for?
AWS API Gateway is most often used for fronting lambda functions with an http endpoint, rest and http api management with throttling and keys, websocket apis for real-time clients, private apis reachable only inside a vpc. Of those, fronting lambda functions with an http endpoint and rest and http api management with throttling and keys are not what BigQuery is typically brought in for.
What can AWS API Gateway do that BigQuery cannot?
AWS API Gateway covers REST APIs, WebSocket APIs, HTTP APIs, Lambda. BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering.

Answered from the vendors’ own pages

AWS API Gateway: How much does AWS API Gateway cost?

AWS API Gateway pricing varies by API type. HTTP APIs cost $1.00 per million requests for the first 300M monthly, then $0.90 per million. REST APIs cost $3.50 per million, and WebSocket APIs cost $1.00 per million messages plus $0.25 per million connection minutes. Data transfer charges ($0.09 per GB) apply separately.

Source
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.

AWS API Gateway: Is AWS API Gateway free?

New AWS customers receive 12 months of free tier access including 1 million REST API calls, 1 million HTTP API calls, and 1 million WebSocket messages plus 750,000 connection minutes per month. Starting July 15, 2025, new customers receive up to $200 in AWS Free Tier credits.

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.

AWS API Gateway: What is the price difference between HTTP and REST APIs?

HTTP APIs are significantly cheaper at $1.00 per million requests compared to REST APIs at $3.50 per million (first tier). REST API pricing decreases to $2.80 and $2.38 per million for higher volumes, while HTTP API pricing drops to $0.90 per million after 300M monthly requests.

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.

AWS API Gateway: How much does an API Gateway Portal cost?

API Gateway Portals require a base fee of $125 per month (includes 10 PortalProducts with 40 endpoints each) plus $12.50 per month for each additional PortalProduct beyond the included 10.

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.

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.

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