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Databases · head to head

BigQuery vs Zoho Analytics

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
Zoho Analytics logo

Zoho Analytics

Business Intelligence

Self-service BI and analytics platform

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.; Zoho Analytics the free plan is limited to 2 users, 10,000 rows and 5 workspaces
  • They diverge on capability: BigQuery covers Serverless compute, Zoho Analytics covers AI Assistant.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Zoho Analytics actually diverge.

Attributes where BigQuery and Zoho Analytics differ
AttributeBigQueryZoho Analytics
Pricing modelusage-basedsubscription
PlatformsWeb, Cloud APIWeb, Mobile, Embedded
CategoryDatabasesBusiness Intelligence
Founded20081996

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 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 Zoho Analytics

  • AI Assistant
  • Drag-and-drop Reports
  • Auto-blending
  • Embedded Analytics
  • White-labeling
  • Zoho CRM
  • Salesforce
  • Google Analytics

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

Zoho Analytics

  • Self-service dashboards and reports over business datanot BigQuery
  • Blending data from Zoho apps, databases and cloud services into one workspacenot BigQuery
  • Embedding white-labelled analytics inside another productnot 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.

Zoho Analytics

  • The free plan is limited to 2 users, 10,000 rows and 5 workspaces
  • Plans are sold with a minimum user count: Basic starts at 2 users, Standard at 5, Premium at 15 and Enterprise at 50
  • Row capacity is part of the plan, starting at 0.5 million rows on Basic, and additional rows are sold as add-ons
  • Viewer licences are sold in blocks of 25 minimum rather than one at a time
  • Data alerts are capped per plan at 10, 30 and 100 active alerts across the whole account
  • REST API usage is metered in API units per day, from 4,000 per day on the lowest paid tier, with extra units sold separately
  • Logo rebranding and hiding the Powered By Zoho Analytics message on embedded reports are not available on the lower plans
  • Activity logs and cluster analysis are excluded from the lower plans
  • The white label embedded analytics offering has no published price and requires contacting Zoho
  • Local taxes such as VAT and GST are charged on top of the listed prices

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

Zoho Analytics

Free
  • FreeFree
    • 2 Users
    • Basic Features
    • 10K Rows
  • Basic$24/month
    • 2 Users
    • 500K Rows
    • Email Support

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 Zoho Analytics if

  • You need ai assistant.
  • You want to start without paying.
  • You work on Web, Mobile, Embedded.
  • You also want drag-and-drop reports.
Zoho Analytics review

Questions people ask

Is BigQuery or Zoho Analytics better?
Neither clearly leads. BigQuery starts at Free and Zoho Analytics at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Zoho Analytics?
BigQuery starts at Free and Zoho Analytics at Free.
Does BigQuery or Zoho Analytics run on more platforms?
BigQuery runs on Web, Cloud API. Zoho Analytics runs on Web, Mobile, Embedded.
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 Zoho Analytics is typically brought in for.
What can BigQuery do that Zoho Analytics cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Zoho Analytics covers AI Assistant, Drag-and-drop Reports, Auto-blending, Embedded Analytics.

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.

Zoho Analytics: Is there a free plan available?

Yes, Zoho Analytics offers a permanent free plan with 2 users, 10,000 rows, and 5 workspaces. A 15-day free trial is also available for paid plans, no credit card required.

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.

Zoho Analytics: Can I cancel my subscription at any time?

Yes, you can upgrade, downgrade, or cancel your subscription at any time. It operates as a month-to-month, pay-as-you-go service with full flexibility.

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.

Zoho Analytics: What is the difference between monthly and yearly billing?

Yearly billing provides a 20% discount compared to monthly rates. Both options are available for all subscription tiers.

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.

Zoho Analytics: How much do additional users and data rows cost beyond what is included in my plan?

Additional users, data rows, and viewers are available as paid add-ons. The page does not specify the exact per-unit cost for these add-ons.

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.

Zoho Analytics: How often can I refresh my data in each tier?

Basic allows 1 refresh per day, Standard and Premium allow 8 per day, and Enterprise allows 24 per day. Dedicated Compute offers custom refresh rates.

Source
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