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Business Intelligence · head to head

Mode vs Prefect

Mode logo

Mode

Business Intelligence

Collaborative analytics for data teams

From
Free
Rated
-
Full reviewWebsite
Prefect logo

Prefect

Automation Integration

Python-first workflow orchestration that heals itself

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets; Prefect limited to Python-based workflows; other languages require API calls
  • They diverge on capability: Mode covers SQL Editor, Prefect covers Python function decorators.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Mode and Prefect actually diverge.

Attributes where Mode and Prefect differ
AttributeModePrefect
Pricing modelsubscriptionFreemium with per-user and usage-based tiers
PlatformsWebCloud, Self-hosted, VPC
CategoryBusiness IntelligenceAutomation Integration
Founded2013Unknown

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 Mode

  • SQL Editor
  • Python/R Notebooks
  • Interactive Reports
  • Version Control
  • Scheduling
  • Snowflake
  • Redshift
  • BigQuery

Only in Prefect

  • Python function decorators
  • Automatic resilience
  • Flexible deployment
  • Observable execution
  • Multiple scheduling
  • Webhooks
  • Open-source core

What people use each for

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

Mode

  • Self-service analyticsnot Prefect
  • Data explorationnot Prefect
  • Ad-hoc reportingnot Prefect
  • Collaborative analysisnot Prefect
  • Embedded analyticsnot Prefect

Prefect

  • Orchestrating data pipeline workflows in Pythonnot Mode
  • Managing ML model training and inference jobsnot Mode
  • Building ETL and event-driven automationnot Mode
  • Monitoring and alerting on workflow healthnot Mode

Where each one falls short

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

Mode

  • Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
  • Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
  • Paid plan pricing not publicly listed; requires sales consultation
  • Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
  • Limited customization options for visual aspects and embedded analytics

Prefect

  • Limited to Python-based workflows; other languages require API calls
  • Hobby free tier severely limited for production use
  • Team plan billing per user scales quickly with team size
  • Less visual workflow builder compared to some competitors
  • Smaller ecosystem of pre-built connectors than alternatives

Pricing, plan by plan

Mode

Free
  • FreeFree
    • SQL Editor
    • Python/R Notebooks
    • Basic Charts
  • Business$65/month
    • Advanced Visualizations
    • Collaboration
    • Integrations

Prefect

Free
  • HobbyFree
    • 2 users and 5 deployments
    • 500 minutes serverless monthly
    • 7-day run retention
  • Starter$100/month
    • 3 users and 20 deployments
    • 75 hours serverless compute
    • Bring-your-own infrastructure
  • Team$100/user/month
    • 4-8 users per plan tier
    • 100 deployments
    • 225 hours serverless monthly
  • Enterprise$null/custom
    • SSO and SAML authentication
    • Role-based access control
    • Multiple workspaces

Which should you pick?

Choose Mode if

  • You need sql editor.
  • You want to start without paying.
  • You also want python/r notebooks.
Mode review

Choose Prefect if

  • You need python function decorators.
  • You want to start without paying.
  • You work on Cloud, Self-hosted, VPC.
  • You also want automatic resilience.
Prefect review

Questions people ask

Is Mode or Prefect better?
Neither clearly leads. Mode starts at Free and Prefect at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Mode or Prefect?
Mode starts at Free and Prefect at Free.
Does Mode or Prefect run on more platforms?
Mode runs on Web. Prefect runs on Cloud, Self-hosted, VPC.
Can I use Mode for free?
Both have a free tier, so you can try either at no cost before committing.
What is Mode best used for?
Mode is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Prefect is typically brought in for.
What can Mode do that Prefect cannot?
Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control. Prefect covers Python function decorators, Automatic resilience, Flexible deployment, Observable execution.

Answered from the vendors’ own pages

Mode: What languages does Mode support for analysis?

Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.

Source
Prefect: What is included in the Hobby free plan?

Hobby includes 2 users, 5 deployments, 500 minutes of serverless compute monthly, and 7-day run retention.

Source
Mode: Can I integrate Mode notebook results into reports?

Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.

Source
Prefect: What is the difference between Starter and Team plans?

Starter is $100/month for 3 users and 20 deployments. Team is $100 per user per month for 4-8 users and 100 deployments.

Source
Mode: Does Mode support collaborative analysis?

Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.

Source
Prefect: Can I deploy Prefect in my own infrastructure?

Yes, Starter and higher plans support bring-your-own-compute infrastructure and VPC deployments.

Source
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