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Spacelift vs Modal Comparison

Last updated:

Spacelift

4.7(185 reviews)

Starting at Free free

  • Mid-Market
  • Enterprise

Spacelift is a CI/CD and collaboration platform for infrastructure-as-code — providing a managed orchestration layer for Terraform, OpenTofu, Pulumi, Ansible, and Kubernetes. It handles the operational challenges of IaC…

Modal

4.7(185 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Modal is a serverless cloud platform for running Python code on GPUs and CPUs in the cloud with zero infrastructure management. Developers define functions with a Python decorator, and Modal handles containerization, GPU…

Spacelift vs Modal — at a glance

FeatureSpaceliftModal
Rating4.7 / 54.7 / 5
Reviews185185
Starting priceFree freeFree free
Free trial No No
Free version No No
Best forMid-Market, EnterpriseSmall Business, Mid-Market, Enterprise
CategoryCloud Management PlatformCloud Platform as a Service (PaaS) Software
PlatformsCloud, On-PremiseCloud
APIAvailableAvailable
Support modesSlack Community, Help Center, Email Support, Enterprise SupportCommunity Slack, Help Center, Email Support, Enterprise Support

Key differences between Spacelift and Modal

  • Pricing: Spacelift starts at Free free, while Modal starts at Free free.
  • Target audience: Spacelift is built for Mid-Market and Enterprise, while Modal targets Small Business and Mid-Market.
  • Deployment: Spacelift supports Cloud, On-Premise; Modal supports Cloud.

Spacelift vs Modal — find the better fit before you commit.

01

Which tool fits your team best

02

Which is actually cheaper for your team size

03

Where each product wins, per real buyers

Most Cloud Management Platform tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

Spacelift logo
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Modal logo
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Talk to an expert

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Biggest differences

Start here before you go deeper into features.

Spacelift

Best for

Mid-Market, Enterprise

Modal

Best for

Small Business, Mid-Market, Enterprise

Spacelift typically suits Mid-Market and Enterprise. Modal tends to fit Small Business and Mid-Market better. The right choice depends on your team size, workflow, and whether a free trial matters.

Description

Spacelift is a CI/CD and collaboration platform for infrastructure-as-code — providing a managed orchestration layer for Terraform, OpenTofu, Pulumi, Ansible, and Kubernetes. It handles the ... Read More about Spacelift

Modal is a serverless cloud platform for running Python code on GPUs and CPUs in the cloud with zero infrastructure management. Developers define functions with a Python decorator, and ... Read More about Modal

Entry Level Pricing

  • Starts from Free , up to 2 users
  • Starts from Free

Free Trial Availability

  • No free trial
  • No free trial

SpotScore

What's this? ↗

9.4/10

9.4/10

User Ratings

Based on verified Spotsaas reviews
Get pricing help
Get pricing help

Where each option fits best

See where each product is strongest, which teams it fits, and what causes buyers to keep looking — before you commit.

Based on buyer reviews and verified product data collected by Spotsaas.

Strengths

Key strengths

Spacelift

  • Safe Parallel IaC at Scale: Run dozens of Terraform stacks concurrently with proper state locking and dependency ordering — eliminating the serialized, manual apply process that slows platform teams.
  • Catch Drift Before It Causes Incidents: Automated drift detection alerts teams when infrastructure diverges from code — preventing the configuration drift that causes midnight incidents.
  • Governance Without Bureaucracy: OPA policies enforce infrastructure standards automatically (tagging, sizing, approval requirements) without manual review of every Terraform plan.

Modal

  • GPU in One Line of Python: `@app.function(gpu="A100")` is the entire infrastructure declaration — no Dockerfile, no Kubernetes manifest, no capacity planning.
  • Cost-Efficient Experimentation: Per-second billing with no minimums means ML experiments and fine-tuning runs cost only their actual compute time, eliminating reserved instance waste.
  • Scalable Batch Processing: Modal scales to thousands of parallel function invocations automatically, enabling large-scale data processing and batch inference jobs without cluster management.
Best fit

Best fit

Spacelift

  • Platform engineering teams managing 50+ Terraform stacks who need safe, parallel execution with proper dependency management
  • Organizations enforcing infrastructure governance policies (required tags, approval gates, cost limits) across multiple engineering teams
  • DevOps teams replacing custom Terraform CI/CD pipelines (Jenkins + Atlantis) with a managed orchestration platform

Modal

  • ML researchers running fine-tuning and evaluation jobs on H100s without managing cloud infrastructure
  • Generative AI startups serving model inference at variable traffic levels with per-second cost efficiency
  • Data engineering teams running large-scale Python batch jobs on GPU clusters without DevOps overhead

Software Demo

Demo

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How do Spacelift and Modal Compare on Features?

Total Features

4 Features

6 Features

Unique Features

No unique features

No unique features

Get Quote
Get Quote

Compare Spacelift and Modal on pricing

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option

      Starting From

      • Free , up to 2 users
      • Free

      Pricing Plans

      • Free

        Free

        • All features

        • Community support

        • Cloud workers

      • Cloud

        $499

        paid

        • Unlimited users

        • Priority workers

        • SLA

        Show more +

      • Enterprise

        Custom

        paid

        • Self-hosted workers

        • SSO

        • Custom SLA

        Show more +

      • Free

        Free

        • $30 credits/month

        • All GPU types

        • Full feature access

        Show more +

      • Pay-as-you-go

        Custom

        paid

        • All GPUs

        • No idle charges

        • Standard support

        Show more +

      • Enterprise

        Custom

        paid

        • Volume discounts

        • Dedicated capacity

        • SLA

        Show more +

      Other Details

      Organization Types supported

      • Large Enterprises
      • Medium Business
      • Small Business
      • Individuals
      • Freelancers
      • Large Enterprises
      • Medium Business
      • Small Business
      • Individuals
      • Freelancers

      Platforms Supported

      • Browser Based (Cloud)
      • Browser Based (Cloud)
      • Mobile - Android
      • Browser Based (Cloud)
      • Browser Based (Cloud)
      • Mobile - Android

      Modes of support

      • 24/7 (Live rep)
      • Business Hours
      • Online
      • 24/7 (Live rep)
      • Business Hours
      • Online

      API Support

      • Available
      • Available
      Get help choosing
      Get help choosing

      Spacelift User Reviews & Rating Comparison

      User Ratings

      4.7

      (based on 185 reviews)

      4.7

      (based on 185 reviews)

      Rating Distribution

      0

      0

      0

      0

      0

      0

      0

      0

      0

      0

      Spotsaas Editor’s POV generated by AI

      Buyer sentiment

      Buyer sentiment is very strong across 185 reviews, with consistently positive feedback.

      What buyers like

      • Stack dependency management automatically runs dependent stacks in order when upstream infrastructure changes — eliminating the manual coordination that breaks IaC at scale.
      • Drift detection surfaces when live infrastructure has diverged from Terraform state — the most dangerous condition in IaC that most teams discover only when something breaks.
      • OPA policy-as-code gates enable infrastructure governance: requiring approvals for production changes, blocking certain resource types, enforcing tagging standards automatically.

      Common complaints

      • Pricing jumps from free (2 users) to $499/month — there is no mid-tier for small teams that have outgrown free but are not yet mid-market scale.
      • Primarily optimized for Terraform and OpenTofu — teams using CloudFormation or CDK will find less native support.

      Buyer sentiment

      Buyer sentiment is very strong across 185 reviews, with consistently positive feedback.

      What buyers like

      • Zero infrastructure management — no Kubernetes, Docker registries, or EC2 instance sizing; a Python decorator is the entire deployment interface.
      • Per-second billing with no idle charges makes GPU-intensive experiments cost-efficient; teams only pay for actual compute time, not reserved instances that sit idle.
      • H100 and A100 GPU access on-demand with auto-scaling means small teams can run large-scale training or inference jobs that would otherwise require negotiating reserved GPU capacity.

      Common complaints

      • Cold start latency when containers spin up from idle can add 1-5 seconds to first requests — problematic for low-latency user-facing inference endpoints.
      • Vendor-specific Python API means Modal code is not portable to other cloud providers without refactoring.

      Pros and Cons

      • Stack dependency management automatically runs dependent stacks in order when upstream infrastructure changes — eliminating the manual coordination that breaks IaC at scale.

      • Drift detection surfaces when live infrastructure has diverged from Terraform state — the most dangerous condition in IaC that most teams discover only when something breaks.

      • OPA policy-as-code gates enable infrastructure governance: requiring approvals for production changes, blocking certain resource types, enforcing tagging standards automatically.

      • Pricing jumps from free (2 users) to $499/month — there is no mid-tier for small teams that have outgrown free but are not yet mid-market scale.

      • Primarily optimized for Terraform and OpenTofu — teams using CloudFormation or CDK will find less native support.

      • Zero infrastructure management — no Kubernetes, Docker registries, or EC2 instance sizing; a Python decorator is the entire deployment interface.

      • Per-second billing with no idle charges makes GPU-intensive experiments cost-efficient; teams only pay for actual compute time, not reserved instances that sit idle.

      • H100 and A100 GPU access on-demand with auto-scaling means small teams can run large-scale training or inference jobs that would otherwise require negotiating reserved GPU capacity.

      • Cold start latency when containers spin up from idle can add 1-5 seconds to first requests — problematic for low-latency user-facing inference endpoints.

      • Vendor-specific Python API means Modal code is not portable to other cloud providers without refactoring.

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

      Frequently asked questions

      Which is better, Spacelift or Modal?
      Spacelift and Modal are closely matched with equal user ratings of 4.7. The right choice depends on your team size, budget, and specific Cloud Platform as a Service (PaaS) Software needs.
      Do Spacelift and Modal offer a free trial?
      Neither Spacelift nor Modal currently lists a free trial.
      What is the starting price of Spacelift vs Modal?
      Spacelift starts at Free free. Modal starts at Free free.