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APIs · head to head

Microsoft Azure API Management vs BigQuery

Microsoft Azure API Management logo

Microsoft Azure API Management

APIs

Hybrid, multi-cloud API management service on Azure

From
Free
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: Microsoft Azure API Management prices are not shown on the pricing page itself; every tier renders as a placeholder and routes to the calculator or sales; 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: Microsoft Azure API Management covers API Gateway, BigQuery covers Serverless compute.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Microsoft Azure API Management and BigQuery actually diverge.

Attributes where Microsoft Azure API Management and BigQuery differ
AttributeMicrosoft Azure API ManagementBigQuery
Pricing modelsubscriptionusage-based
PlatformsCloud, Hybrid, Multi-cloudWeb, Cloud API
CategoryAPIsDatabases
Founded19752008

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 Microsoft Azure API Management

  • API Gateway
  • Developer Portal
  • API Policies
  • Azure services
  • AWS
  • Google Cloud
  • On-premises
  • Cloud support

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.

Microsoft Azure API Management

  • API gateway and lifecycle management on Azurenot BigQuery
  • Throttling, keys and policies in front of backend servicesnot BigQuery
  • Developer portal for internal and partner APIsnot BigQuery
  • Hybrid deployments using self-hosted gatewaysnot BigQuery

BigQuery

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

Where each one falls short

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

Microsoft Azure API Management

  • Prices are not shown on the pricing page itself; every tier renders as a placeholder and routes to the calculator or sales
  • Two parallel generations of tiers, classic and v2, so the choice is which lineage before which size
  • The Developer tier is explicitly not for production
  • Self-hosted gateways and workspace gateways are charged separately from the service

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

Microsoft Azure API Management

Free
  • ConsumptionFree
    • 0-1 million API operations free monthly per subscription
  • Basic v2$undefined/mo
    • 10 million API requests included monthly
  • Standard v2$undefined/mo
    • 50 million API requests included monthly
  • Premium v2$undefined/mo
    • Unlimited included API requests

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 Microsoft Azure API Management if

  • You need api gateway.
  • You want to start without paying.
  • You work on Cloud, Hybrid, Multi-cloud.
  • You also want developer portal.
Microsoft Azure API Management review

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

Questions people ask

Is Microsoft Azure API Management or BigQuery better?
Neither clearly leads. Microsoft Azure API Management 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, Microsoft Azure API Management or BigQuery?
Microsoft Azure API Management starts at Free and BigQuery at Free.
Does Microsoft Azure API Management or BigQuery run on more platforms?
Microsoft Azure API Management runs on Cloud, Hybrid, Multi-cloud. BigQuery runs on Web, Cloud API.
Can I use Microsoft Azure API Management for free?
Both have a free tier, so you can try either at no cost before committing.
What is Microsoft Azure API Management best used for?
Microsoft Azure API Management is most often used for api gateway and lifecycle management on azure, throttling, keys and policies in front of backend services, developer portal for internal and partner apis, hybrid deployments using self-hosted gateways. Of those, api gateway and lifecycle management on azure and throttling, keys and policies in front of backend services are not what BigQuery is typically brought in for.
What can Microsoft Azure API Management do that BigQuery cannot?
Microsoft Azure API Management covers API Gateway, Developer Portal, API Policies, Azure services. BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering.

Answered from the vendors’ own pages

Microsoft Azure API Management: Is Azure API Management free?

Azure API Management offers a Consumption tier with a free tier that includes 0-1 million API operations per subscription monthly at no cost, then charges per operation beyond that. Classic Consumption tier is pay-as-you-go billing.

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.

Microsoft Azure API Management: What are the API request limits for Azure API Management's v2 tiers?

Basic v2 includes 10 million API requests monthly, Standard v2 includes 50 million monthly, and Premium v2 includes unlimited API requests. Additional requests beyond included amounts incur standard rates.

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.

Microsoft Azure API Management: What cache capacity does each Azure API Management tier provide?

Basic v2 provides 250 MB built-in cache, Standard v2 provides 1 GB cache, and Premium v2 provides 5 GB cache capacity for response caching.

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.

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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