Softwr

Databases · head to head

BigQuery vs Cockroach Labs

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
Cockroach Labs logo

Cockroach Labs

Databases

The cloud-native distributed SQL database

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.; Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only)
  • They diverge on capability: BigQuery covers Serverless compute, Cockroach Labs covers Distributed SQL.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Cockroach Labs actually diverge.

Attributes where BigQuery and Cockroach Labs differ
AttributeBigQueryCockroach Labs
Pricing modelusage-basedfreemium
PlatformsWeb, Cloud APIAWS, GCP, Azure
Founded20082015

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

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 Cockroach Labs

  • Distributed SQL
  • Automatic Sharding
  • Multi-region Replication
  • Geo-partitioning
  • ACID Transactions
  • Horizontal Scaling
  • Survivability
  • PostgreSQL Compatibility

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

Cockroach Labs

  • Distributed SQL database for scalable applicationsnot BigQuery
  • Multi-region deployment and failovernot 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.

Cockroach Labs

  • Basic and Standard tiers limited to AWS and GCP (select regions only)
  • Azure support restricted to Advanced tier only
  • Basic tier limited to 50 million RUs and 10 GiB storage per month
  • Advanced tier starts at $0.60/hour for 4 vCPUs minimum
  • 3 TiB maximum storage on Basic and Standard tiers, 10 TiB per node on Advanced

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

Cockroach Labs

Free

No published plan breakdown. See the Cockroach Labs review.

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 Cockroach Labs if

  • You need distributed sql.
  • You want to start without paying.
  • You work on AWS, GCP, Azure.
  • You also want automatic sharding.
Cockroach Labs review

Questions people ask

Is BigQuery or Cockroach Labs better?
Neither clearly leads. BigQuery starts at Free and Cockroach Labs at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Cockroach Labs?
BigQuery starts at Free and Cockroach Labs at Free.
Does BigQuery or Cockroach Labs run on more platforms?
BigQuery runs on Web, Cloud API. Cockroach Labs runs on AWS, GCP, Azure.
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 Cockroach Labs is typically brought in for.
What can BigQuery do that Cockroach Labs cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning.

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.

Cockroach Labs: What does the free Basic tier include?

The Basic tier is free and includes 50 million RUs and 10 GiB storage per month, with a maximum compute of 30K RU/sec. No credit card is required to start.

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.

Cockroach Labs: How much do the paid tiers cost?

Standard tier starts at $0.18 per hour for 2 vCPUs, and Advanced tier starts at $0.60 per hour for 4 vCPUs. Both tiers support additional resources with higher costs for increased compute and storage.

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.

Cockroach Labs: What are the storage limits for each tier?

Basic plan supports up to 3 TiB storage, Standard tier up to 3 TiB, and Advanced tier up to 10 TiB per node with unlimited total storage.

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.

Cockroach Labs: Can I get trial credits before paying?

Yes, new users can try CockroachDB free with $400 in credits. The Basic and Standard plans do not require a credit card to start.

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.

Cockroach Labs: Do legacy contracts have different pricing?

Customers with annual or multi-year contracts entered before December 1, 2024 can view legacy pricing terms on a separate page, which apply until their contract renewal date.

Source
Share

Related pages

More on BigQuery

More on Cockroach Labs

Keep looking

Other head to heads