Is BigQuery or Ninox better?

Neither clearly leads. BigQuery starts at Free and Ninox at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, BigQuery or Ninox?

BigQuery starts at Free and Ninox at Free.

Does BigQuery or Ninox run on more platforms?

BigQuery runs on Web, Cloud API. Ninox runs on Web.

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 Ninox is typically brought in for.

What can BigQuery do that Ninox cannot?

BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering.

Databases · head to head

BigQuery vs Ninox

BigQuery

Databases

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

From: Free
Rated: -

Full review Website

Ninox

Databases

The database for teams

From: Free
Rated: -

Full review Website

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.; Ninox free plan limited to 5 users and 5,000 records
Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Ninox actually diverge.

Attributes where BigQuery and Ninox differ
Attribute	BigQuery	Ninox
Pricing model	usage-based	freemium
Platforms	Web, Cloud API	Web
Founded	2008	Unknown

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 Ninox

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

Ninox

No-code database solutions for small to medium teamsnot BigQuery
Workflow automation and process managementnot BigQuery
Customer data and project tracking with custom viewsnot 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.

Ninox

Free plan limited to 5 users and 5,000 records
API call limits restrict automation on lower tiers (1,000/month free, 10,000/month team)
Only 7-day history on free plan vs. unlimited on Business

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

Ninox

Free

FreeFree
- Up to 5 users
- 100 MB storage
- Up to 5,000 records
Team$25/month
- 5 GB storage per user
- 50,000 records per user
- 10,000 API calls per user per month
Business$40/month
- 10 GB storage per user
- 250,000 records per user
- 50,000 API calls per user per month
Enterprise$null/custom
- Custom pricing available
- Dedicated support
- Custom solutions and governance

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 Ninox if

You want to start without paying.

Ninox review

Questions people ask

Is BigQuery or Ninox better?: Neither clearly leads. BigQuery starts at Free and Ninox at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Ninox?: BigQuery starts at Free and Ninox at Free.
Does BigQuery or Ninox run on more platforms?: BigQuery runs on Web, Cloud API. Ninox runs on Web.
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 Ninox is typically brought in for.
What can BigQuery do that Ninox 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.

Ninox: How much does Ninox cost?

Ninox is free for individuals with up to 5 users. Team plan is 25 EUR per user per month (billed annually), and Business plan is 40 EUR per user per month (billed annually). Enterprise plans have custom pricing.

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.

Ninox: Is Ninox free?

Yes, Ninox offers a free plan for up to 5 users with 100 MB storage and 5,000 records. No payment required to start, and includes all core views: table, form, chart, kanban, maps, and calendar.

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.

Ninox: What is Ninox Team plan pricing?

The Team plan costs 25 EUR per user per month (billed annually). It includes 5 GB storage per user, 50,000 records, 10,000 API calls per month per user, and 30-day history. Annual billing is required.

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.

BigQuery vs Ninox

BigQuery

Ninox

The short version

Where they differ

What each one covers

Only in BigQuery

Only in Ninox

What people use each for

BigQuery

Ninox

Where each one falls short

BigQuery

Ninox

Pricing, plan by plan

BigQuery

Ninox

Which should you pick?

Choose BigQuery if

Choose Ninox if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on BigQuery

More on Ninox

Keep looking

Other head to heads