You wrote a Streamlit app that pulls data from Postgres, does some pandas work, and renders a nice set of charts. It works perfectly on your laptop. Your VP of Sales saw it over your shoulder and said "can the rest of the team use this?"
That question is where the pain starts. Because "deploying a Python data app" isn't really about deployment. It's about answering a bunch of follow-up questions: Who can see this? What happens when nobody's using it for a weekend? Can I put it on our company domain? How much RAM do I get? What happens when someone loads a 2 GB CSV?
I've gone through this cycle enough times to have opinions. Here's what actually exists in 2026, what each option costs, and who each one is for.
Streamlit Community Cloud
The default. If you Google "deploy Streamlit app," this is what you find.
What you get: Free hosting for Streamlit apps deployed from GitHub repos. Push your code, connect the repo, and your app is live at yourapp.streamlit.app within a few minutes.
Pricing: Free. There is no paid tier — Snowflake (which owns Streamlit) funnels paying customers toward Streamlit in Snowflake instead.
The reality: 1 GB of RAM per app, hard limit. Your app sleeps after roughly 7 days of inactivity, then cold-starts in 30-60 seconds when someone visits. Authentication is limited to GitHub org membership, which means every viewer needs a GitHub account. No custom domains. Secrets are capped at about 2 KB. Private repos require GitHub Pro.
Who it's for: Open-source demos, portfolio projects, weekend prototypes. If your app handles anything with access controls or sensitive data, you'll outgrow this on day one.
Streamlit for Teams (Snowflake)
Snowflake acquired Streamlit in 2022 and has been building Streamlit into Snowpark ever since. "Streamlit in Snowflake" is the enterprise offering.
How it works: You write Streamlit apps that run inside Snowflake's infrastructure. Your app has native access to Snowflake data through the session context — no connection strings, no credentials in your code. Auth is handled by Snowflake's role-based access control.
Pricing: Included with your Snowflake contract, but Snowflake charges compute credits for the warehouse time your app uses. The exact cost depends on your warehouse size and how long sessions run. For a small app that a few people use daily, expect $20-50/month in credit consumption. For a heavily used app with expensive queries, it can be significantly more.
The catch: Your app can only access data in Snowflake. Need to call a REST API? Read from Postgres? Pull from a Google Sheet? You're stuck. The runtime sandbox restricts network access and available Python packages. This is a Snowflake product first and a Streamlit product second.
Who it's for: Teams whose data already lives in Snowflake and who are fine with vendor lock-in. If you're all-in on Snowflake anyway, the auth and governance integration is genuinely good.
Fastero
Connect your database. Ask questions. Get dashboards.
Postgres, BigQuery, Snowflake, and 10+ sources — live-connected, AI-powered, no dashboard builder learning curve.
Try free →Hex
Hex isn't a deployment platform for your existing Streamlit apps — it's a different thing entirely. Hex apps are notebook-based interactive reports that you build inside Hex's editor. I'm including it because teams evaluating "where to host our data apps" often consider Hex as an alternative to building Streamlit apps at all.
How it works: You write SQL and Python in a notebook interface, add interactive widgets (dropdowns, date pickers, sliders), and publish the result as a shareable app. The workflow is closer to "build and deploy in the same tool" than "write code locally, deploy elsewhere."
Pricing: This is where it hurts. Hex's free tier is limited to 1 user and basic features. The Professional plan runs about $38/user/month (billed annually). The Team plan — which adds scheduled runs, published apps, and workspace permissions — is ~$65/user/month. For a 5-person data team, that's $190-325/month before you've done anything. Enterprise pricing is custom and higher.
Auth: Built in. Hex handles viewer authentication, and you can share apps with specific people or make them publicly accessible.
The trade-off: You're paying for the full Hex platform, not just hosting. If your team needs notebooks, scheduled queries, and published apps in one place, the price might be justifiable. If you just need to deploy a Streamlit app you already built, Hex doesn't solve that problem — it replaces it with a different product.
Who it's for: Data teams willing to rebuild their apps in Hex's environment and who get value from the full notebook-to-app workflow. Not for teams that want to deploy existing Python code.
Hugging Face Spaces
Hugging Face Spaces supports Streamlit, Gradio, and Docker-based apps. It started as an ML demo platform and has grown into a general-purpose app host.
Pricing: Free tier gives you 2 vCPU, 16 GB RAM (generous!), but on shared "CPU basic" hardware. Paid upgrades start at $0.60/hour for dedicated CPU and go up to $9.07/hour for GPU instances. A small dedicated CPU Space running 24/7 costs about $430/month — which makes sense for ML inference but is expensive for a simple data dashboard.
App sleeping: Free-tier Spaces sleep after 48 hours of inactivity. The cold start time varies but is typically 30-120 seconds depending on your dependencies.
Auth: Basic. You can make Spaces private (visible only to you) or public. There's no team-level access control, no SSO, no "share with these 5 people." For a business data app with access requirements, this is insufficient.
Custom domains: Not supported on free tier. Available on some paid plans.
Who it's for: ML engineers sharing model demos. The community is ML-focused, the discovery features are ML-focused, and the infrastructure pricing is optimized for GPU workloads. If you're deploying a business dashboard that shows sales data, you're using the platform for something it wasn't designed for.
Railway, Render, and Fly.io
I'm grouping these because they occupy the same niche: modern PaaS platforms where you deploy Docker containers (or push code and let them build a container for you).
How it works: You push a Git repo with a Dockerfile (or a requirements.txt that the platform's buildpack understands), the platform builds and deploys it, and you get a URL. You handle WebSocket configuration, environment variables, and process management through the platform's dashboard or CLI.
Pricing varies by platform:
- Railway: $5/month base + usage. RAM is ~$10/GB/month. A small always-on Streamlit app runs about $10-15/month. No free tier beyond a $5 trial credit.
- Render: Web services start at $7/month (512 MB). Plus a $19/month platform fee on Individual plans. Free tier exists but sleeps aggressively (15 minutes of inactivity).
- Fly.io: Pay for the VM. A 256 MB machine is about $3/month. 1 GB is about $6/month. No monthly platform fee, but the pricing model is more granular and harder to predict.
Auth: None of them include authentication. You're either building auth into your Streamlit app (using streamlit-authenticator or rolling your own) or putting an auth proxy in front of it (Cloudflare Access, OAuth2 Proxy, etc.).
Custom domains: Supported on all three.
Operational burden: Lower than self-hosting on raw cloud infrastructure, but higher than purpose-built data app platforms. You need to handle health checks, WebSocket upgrades (critical for Streamlit), and scaling configuration. If you miss the WebSocket headers in your proxy config, Streamlit shows an infinite "Connecting..." spinner and you'll spend an hour debugging it.
Who they're for: Developers comfortable with Docker and PaaS workflows who want reasonable hosting without full infrastructure management — and who are willing to solve auth separately.
AWS, GCP, and Azure
The "do it yourself" tier. You run containers on ECS/Cloud Run/AKS, or just spin up a VM and install everything manually.
What you get: Full control over everything — RAM, CPU, networking, scaling, region, compliance posture. Nobody tells you your app has to sleep, and nobody limits your secrets to 2 KB.
Pricing: Highly variable. A single t3.small on AWS ($15/month) can run a Streamlit app fine. Add a load balancer ($18/month), a managed certificate, and a NAT gateway, and you're at $50/month for basic infrastructure. ECS Fargate or Cloud Run adds per-invocation costs that scale with traffic.
Auth: Build it yourself. The common patterns: Cognito (AWS), Identity-Aware Proxy (GCP), Azure AD app registration — all work but require non-trivial setup. Or put Cloudflare Access or OAuth2 Proxy in front.
Operational burden: High. You own the runtime, the networking, the SSL certificates, the health checks, the scaling, the monitoring, and the incident response. When your app shows a blank page at 2am, it's your problem. WebSocket configuration on ALBs and Cloud Run requires careful attention to idle timeout settings.
Who it's for: Teams with dedicated DevOps or platform engineering who need specific compliance, data residency, or integration requirements. If you don't have a strong reason to self-host, the PaaS options above give you 90% of the flexibility at 20% of the operational cost.
Comparison table
| Platform | Free Tier | Paid Price | Auth Built-in | Custom Domain | Cold Starts | Best For |
|---|---|---|---|---|---|---|
| Streamlit Community Cloud | Yes (1 GB, public GitHub) | N/A | No (GitHub org only) | No | 30-60s after 7 days idle | Demos, open-source |
| Streamlit in Snowflake | No | Snowflake credits (~$20-50+/mo) | Yes (Snowflake RBAC) | No | None | All-in Snowflake teams |
| Hex | 1 user, limited | $38-65/user/mo | Yes | N/A | None | Teams wanting full notebook+app platform |
| Hugging Face Spaces | Yes (shared CPU) | $0.60+/hr dedicated | No (public/private only) | Limited | 30-120s after 48 hrs | ML demos |
| Railway / Render / Fly.io | Trial / limited | $7-25/mo per app | No | Yes | None (paid) | Docker-savvy devs |
| AWS / GCP / Azure | Free tiers (limited) | $15-200+/mo | DIY | Yes | None | DevOps teams, compliance |
| Fastero | Yes | From $20/mo | Yes | Yes | None (warm) | Team data apps + AI workspace |
A different approach: workspace-based data apps
Most of the platforms above assume a specific workflow: you build a Streamlit app locally, then find somewhere to put it. Fastero takes a different angle. Instead of deploying standalone apps, you work in an AI-powered data workspace where Streamlit apps, SQL queries, and file analysis coexist. Auth comes built in. Secrets management is native. You get up to 16 GB of RAM per app, and there's an AI analyst that can write and iterate on app code with you.
The apps live next to your data connections and queries, and the AI can generate them from a prompt if you describe what you want. No separate deployment pipeline, no auth proxy to configure, no secrets manager to set up. You focus on the analysis; the platform handles the infrastructure.
How to actually choose
Here's my decision tree, based on what I've seen work:
"I need to show this to the world and it's not sensitive" — Streamlit Community Cloud. Free, simple, done.
"My team needs this and we're a Snowflake shop" — Streamlit in Snowflake. The lock-in is real, but if you're already locked in, at least the auth and governance story is clean.
"I'm comfortable with Docker and want cheap hosting" — Railway or Fly.io. You'll need to handle auth separately, but the deployment experience is solid.
"My team needs this, we have no DevOps capacity, and I don't want to build auth" — Look at purpose-built platforms like Fastero or Ploomber. The operational overhead is close to zero, and auth is handled for you.
"We need specific compliance controls, region pinning, or custom networking" — Self-host on AWS/GCP/Azure. Accept the ops cost and budget accordingly.
"We want to replace Streamlit entirely with a different approach" — Look at Hex. Expensive, but it's a complete platform rather than a hosting solution.
Stop optimizing for the cheapest option. The real cost of deploying Python data apps isn't the $10-50/month in hosting — it's the 6 hours you spend configuring nginx WebSocket headers, the weekend you spend debugging why Cloudflare is stripping your upgrade headers, and the ongoing maintenance of auth infrastructure you built yourself. Pick the option that matches your team's operational capacity, not just your budget.
Related: Streamlit Community Cloud vs Paid Hosting Options | How to Deploy Streamlit with Auth and Scheduling | Hex Pricing: Is It Worth It?
Try Fastero free — deploy Python data apps with built-in auth, scheduling, and always-on hosting — no infrastructure to manage. No credit card required.
Last updated: August 2026.