Databases · head to head
BigQuery vs Keycloak
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
Keycloak
Developer Tools
Open-source identity and access management server.
- From
- Free
- Free plan
- Yes
The short version
- Keycloak is an open-source IAM platform supporting OpenID Connect, OAuth 2.
- Keycloak is free; BigQuery starts at $6.25/mo.
- Where Keycloak falls short: requires self-hosted deployment and operational expertise to install, configure and maintain.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which BigQuery and Keycloak actually diverge.
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: founded for Keycloak.
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 Keycloak
Nothing recorded that BigQuery does not also cover.
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 Keycloak
- Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot Keycloak
- Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot Keycloak
- Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot Keycloak
Keycloak
- Organisations requiring self-hosted identity infrastructure for compliance or data residencynot BigQuery
- Companies with existing LDAP/Active Directory systems needing federated authenticationnot BigQuery
- Open-source projects and communities requiring free IAM without licensing costsnot BigQuery
- Enterprises building custom identity workflows requiring fine-grained authorisationnot BigQuery
- Teams with sufficient operational expertise to manage infrastructurenot 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
Keycloak
- Requires self-hosted deployment and operational expertise to install, configure and maintain
- No managed cloud option provided by Red Hat; organisations must operate infrastructure themselves or use third-party distributions
- Clustering and high-availability configurations require additional operational knowledge
- Community support only; commercial support requires third-party vendors or distributions
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
Keycloak
Free- Open-sourceFree
- Full platform functionality
- Self-hosted deployment
- Community 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.
Choose Keycloak if
- You want to start without paying.
- You work on Self-hosted, Linux, Windows, API.
Questions people ask
- Is BigQuery or Keycloak better?
- Neither clearly leads. BigQuery starts at Free and Keycloak at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery or Keycloak?
- BigQuery starts at Free and Keycloak at Free.
- Does BigQuery or Keycloak run on more platforms?
- BigQuery runs on Web, API. Keycloak runs on Self-hosted, Linux, Windows, API.
- 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 Keycloak is typically brought in for.
- What can BigQuery do that Keycloak cannot?
- BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering.
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.
Keycloak: What protocols does Keycloak support?
Keycloak supports OpenID Connect, OAuth 2.0 and SAML 2.0 protocols for authentication and authorisation.
SourceBigQuery: 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.
Keycloak: Can Keycloak integrate with existing user directories?
Yes. Keycloak supports user federation with LDAP and Active Directory systems, allowing organisations to leverage existing user directories.
SourceBigQuery: 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.
Keycloak: Is Keycloak free?
Yes. Keycloak is fully open-source and free to deploy and use. No licensing fees are required.
SourceBigQuery: 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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- Keycloak vs Amazon RDS
- Keycloak vs Apache Flink
- Keycloak vs DynamoDB
- Keycloak vs Jenkins
- Keycloak vs Atlantis
- Keycloak vs Soketi
- Keycloak vs Kubernetes
- Keycloak vs GitLab
- Keycloak vs Vite
- Keycloak vs Depot
- Keycloak vs Ansible
- Keycloak vs Buildkite
- Keycloak vs Coder
- Keycloak vs Bitbucket
- Keycloak vs Sweep
- Keycloak vs Git
- Keycloak vs GitHub Desktop
- Keycloak vs GoLand
- Keycloak vs Hookdeck
- Keycloak vs Istio
- Keycloak vs JFrog Artifactory