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Databases · head to head

BigQuery vs RAD Studio

BigQuery logo

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
Visit BigQueryFull review
RAD Studio logo

RAD Studio

Developer Tools

Cross-platform native app development with Delphi and C++Builder

From
$2000/perpetual
Free plan
No
Visit RAD StudioFull review

The short version

  • RAD Studio is a cross-platform IDE.
  • BigQuery has a free plan, then $6.25/mo; RAD Studio starts at $2000/mo.
  • Where RAD Studio falls short: professional edition costs $2,000 for the perpetual license plus $599 for year one maintenance, totaling $2,599 before tax.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which BigQuery and RAD Studio actually diverge.

Attributes where BigQuery and RAD Studio differ
AttributeBigQueryRAD Studio
Starting priceFree$2000/perpetual
Pricing modelUsage-basedOne-time
Free tierYesNo
PlatformsWeb, APIWeb
CategoryDatabasesDeveloper Tools

Not yet recorded: founded for RAD Studio.

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 RAD Studio

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

RAD Studio

  • Building Windows desktop applications with VCL componentsnot BigQuery
  • Creating iOS and Android apps from shared Delphi codebasenot BigQuery
  • Connecting to Oracle databases through FireDAC connectivitynot BigQuery
  • Building REST web services that run on Linux serversnot 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

RAD Studio

  • Professional edition costs $2,000 for the perpetual license plus $599 for year one maintenance, totaling $2,599 before tax
  • Enterprise edition steps up to $3,400 license plus $1,199 maintenance, and Architect edition to $4,416 license plus $2,183 maintenance
  • The perpetual license only entitles the buyer to updates for one year; continued access to new updates and upgrades requires an annually renewable Update Subscription

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

RAD Studio

$2000/perpetual
  • Professional Edition$2,000 one-off
    • Perpetual License
    • First year maintenance $599
    • Total $2,599 + Tax
  • Enterprise Edition$3,400 one-off
    • Perpetual License
    • First year maintenance $1,199
    • Total $4,599 + Tax
  • Architect Edition$4,416 one-off
    • Perpetual License
    • First year maintenance $2,183
    • Total $6,599 + Tax

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.
BigQuery review

Choose RAD Studio if

Nothing in the data separates RAD Studio from BigQuery on the points above - pick on price and on how each one feels to use.

RAD Studio review

Questions people ask

Is BigQuery or RAD Studio better?
Neither clearly leads. BigQuery starts at Free and RAD Studio at $2000/perpetual, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or RAD Studio?
BigQuery has a free tier; the other does not. Paid plans start at Free for BigQuery and $2000/perpetual for RAD Studio.
Does BigQuery or RAD Studio run on more platforms?
BigQuery runs on Web, API. RAD Studio runs on Web.
Can I use BigQuery for free?
Yes. BigQuery has a free tier, so you can try it without paying. RAD Studio starts at $2000/perpetual.
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 RAD Studio is typically brought in for.
What can BigQuery do that RAD Studio 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.

RAD Studio: How much does RAD Studio cost?

RAD Studio uses perpetual licensing: Professional Edition $2,000 perpetual license + $599 first year maintenance ($2,599 total + tax). Enterprise Edition $3,400 license + $1,199 maintenance ($4,599 total + tax). Architect Edition $4,416 license + $2,183 maintenance ($6,599 total + tax).

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.

RAD Studio: What is the difference between RAD Studio editions?

Professional Edition ($2,599 total + tax) targets individual developers. Enterprise Edition ($4,599 total + tax) adds multi-tier app capabilities. Architect Edition ($6,599 total + tax) includes advanced database and cloud features. All three include perpetual licenses.

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.

RAD Studio: Does RAD Studio offer Kai AI integration and discounts?

Yes, adding Kai AI to any edition provides discounts: 25% off Professional ($2,136 + tax), 30% off Enterprise ($3,394 + tax), and 40% off Architect ($4,109 + tax). This promotion is active through August 31, 2026.

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.

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