Softwr

Databases · head to head

BigQuery vs Geckoboard

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
Geckoboard logo

Geckoboard

Business Intelligence

Real-time KPI dashboards

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.; Geckoboard annual billing required; monthly billing not offered
  • They diverge on capability: BigQuery covers Serverless compute, Geckoboard covers Real-time Updates.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery and Geckoboard actually diverge.

Attributes where BigQuery and Geckoboard differ
AttributeBigQueryGeckoboard
Pricing modelusage-basedsubscription
PlatformsWeb, Cloud APIWeb, Tv, Mobile
CategoryDatabasesBusiness Intelligence
Founded20082010

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 Geckoboard

  • Real-time Updates
  • TV Mode
  • Custom Widgets
  • Data Blending
  • Sharing
  • Salesforce
  • Zendesk
  • 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 Geckoboard
  • Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot Geckoboard
  • Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot Geckoboard
  • Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot Geckoboard

Geckoboard

  • TV wall dashboards for office and operations displaysnot BigQuery
  • Live KPI monitoring for sales and support teamsnot BigQuery
  • Sharing read-only metrics widely, since viewers are unlimited on every tiernot BigQuery
  • Alerting when a metric crosses a thresholdnot 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.

Geckoboard

  • Annual billing required; monthly billing not offered
  • Add-on dashboards cost $24 each
  • Additional editors cost $20 each
  • Additional screens cost $20 each

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

Geckoboard

Free
  • Essentials$79/month
    • 2 dashboards
    • 1 editor
    • 1 screen
  • Performance$319/month
    • 20 dashboards
    • 3 editors
    • 5 screens
  • Enterprise$null/mo
    • Unlimited dashboards, editors, and screens
    • All Performance features
    • Dedicated support manager

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 Geckoboard if

  • You need real-time updates.
  • You want to start without paying.
  • You work on Web, Tv, Mobile.
  • You also want tv mode.
Geckoboard review

Questions people ask

Is BigQuery or Geckoboard better?
Neither clearly leads. BigQuery starts at Free and Geckoboard at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or Geckoboard?
BigQuery starts at Free and Geckoboard at Free.
Does BigQuery or Geckoboard run on more platforms?
BigQuery runs on Web, Cloud API. Geckoboard runs on Web, Tv, Mobile.
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 Geckoboard is typically brought in for.
What can BigQuery do that Geckoboard cannot?
BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering. Geckoboard covers Real-time Updates, TV Mode, Custom Widgets, Data Blending.

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.

Geckoboard: How much does Geckoboard cost?

Geckoboard offers Essentials at $79 per month, Performance at $319 per month, and custom-priced Enterprise plans. All plans are billed annually. A 14-day free trial is available.

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.

Geckoboard: Is there an annual billing discount for Geckoboard?

Yes, annual billing provides 20% savings compared to monthly pricing. Pricing is shown for annual billing with VAT not included.

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.

Geckoboard: What are the add-on costs for additional Geckoboard resources?

Additional dashboards cost $24 each, extra editors cost $20 each, and additional screens cost $20 each. All add-ons are billed with the annual subscription.

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.

Geckoboard: Does Geckoboard offer discounts for nonprofits?

Yes, Geckoboard offers 20% off any plan for nonprofit organizations.

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.

Share

Related pages

More on BigQuery

More on Geckoboard

Keep looking

Other head to heads