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Machine Learning · head to head

Alteryx vs BigQuery

Alteryx logo

Alteryx

Machine Learning

Analytics automation platform

From
$250/month
Rated
-
Full reviewWebsite
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

The short version

  • Only BigQuery has a free tier, so it costs nothing to try first.
  • Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; 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.
  • They diverge on capability: Alteryx covers Data preparation, BigQuery covers Serverless compute.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Alteryx and BigQuery actually diverge.

Attributes where Alteryx and BigQuery differ
AttributeAlteryxBigQuery
Starting price$250/monthFree
Pricing modelsubscriptionusage-based
Free tierNoYes
PlatformsWindows, WebWeb, Cloud API
CategoryMachine LearningDatabases
Founded19972008

Identical on both: 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 Alteryx

  • Data preparation
  • Data blending
  • Predictive analytics
  • Spatial analytics
  • Reporting
  • Python
  • R
  • Snowflake

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

What people use each for

The jobs each tool is most often brought in to do.

Alteryx

  • Data preparation and building AI-ready datasetsnot BigQuery
  • Predictive analytics without writing codenot BigQuery
  • Automating and orchestrating repeatable analytics workflowsnot BigQuery
  • Enterprise reporting with governed, reusable logicnot BigQuery
  • Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot BigQuery

BigQuery

  • A warehouse for an organisation already on Google Cloud, where identity, logging and billing are consolidated in the same placenot Alteryx
  • Bursty analytical workloads with long idle periods, where paying per query beats keeping a cluster runningnot Alteryx
  • Event and clickstream analytics ingested continuously through the Storage Write API and queried without a load windownot Alteryx
  • Analytics teams with no infrastructure staff, where the absence of anything to tune or patch is worth more than dialect portabilitynot Alteryx

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Alteryx

  • Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
  • Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
  • Cost depends on three separate dimensions at once: edition, user role and automation capacity
  • Advanced analytics, governance and orchestration are withheld from the entry edition

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.

Pricing, plan by plan

Alteryx

$250/month
  • Starter Edition$250/month
    • 1-10 users
    • 50 automation runs included
    • Cloud only
  • Professional Edition$null/month
    • Basic and Full users
    • 15,000 automation runs included
    • Cloud and desktop deployment
  • Enterprise Edition$null/month
    • All user types
    • 15,000 automation runs included
    • All deployment options

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

Which should you pick?

Choose Alteryx if

  • You need data preparation.
  • You work on Windows, Web.
  • You also want data blending.
Alteryx review

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

Questions people ask

Is Alteryx or BigQuery better?
Neither clearly leads. Alteryx starts at $250/month and BigQuery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Alteryx or BigQuery?
BigQuery has a free tier; the other does not. Paid plans start at $250/month for Alteryx and Free for BigQuery.
Does Alteryx or BigQuery run on more platforms?
Alteryx runs on Windows, Web. BigQuery runs on Web, Cloud API.
Can I use BigQuery for free?
Yes. BigQuery has a free tier, so you can try it without paying. Alteryx starts at $250/month.
What is Alteryx best used for?
Alteryx is most often used for data preparation and building ai-ready datasets, predictive analytics without writing code, automating and orchestrating repeatable analytics workflows, enterprise reporting with governed, reusable logic. Of those, data preparation and building ai-ready datasets and predictive analytics without writing code are not what BigQuery is typically brought in for.
What can Alteryx do that BigQuery cannot?
Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. BigQuery covers Serverless compute, Separation of storage and compute, Two pricing models, Partitioning and clustering.

Answered from the vendors’ own pages

Alteryx: How much does Alteryx Starter cost?

Alteryx Starter Edition costs $250 USD per user per month when billed annually, for teams of 1-10 users.

Source
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.

Alteryx: Is there a free trial for Alteryx?

Yes, Alteryx offers a 30-day free trial to evaluate the platform before committing to a paid plan.

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.

Alteryx: What differentiates Alteryx Professional from Starter?

Professional Edition supports both Basic and Full user roles, includes 15,000 automation runs, offers cloud and desktop deployment, connects to 100+ data sources, and enables advanced data preparation and macros. Professional and Enterprise editions require contacting sales for pricing.

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.

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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