December 5th, 2026
Hex Pricing and Plans: Is It Worth It for 2026?
By Drew Hahn · 13 min read
After researching every Hex plan and testing how the features line up across workflows, here’s a full breakdown of Hex pricing and add-on costs for 2026.
Hex pricing: At a glance
Hex pricing includes four plans. The paid tiers use a per-editor pricing model, while the Community plan is a free option designed for individual use. Here’s everything you need to know for each tier:
Plan | Monthly price | Key limits | Best for |
|---|---|---|---|
Community | Free | Solo use, small projects, limited compute | Students or hobbyists |
Professional | $36 per editor | Medium compute, no shared workspace | Individual contributors |
Team | $75 per editor | Shared workspace, schedules, broader access rules | Small to mid-size data teams |
Enterprise | Custom | Compliance controls, SSO, dedicated support, and advanced compute options | Larger orgs with strict requirements |
Medium compute comes included on all paid plans. Bigger machines, GPU options, and AI features run on pay-as-you-go pricing, which means your total depends on usage, not only seat count. This is why many teams see higher spend once they move past basic workflows.
Hex pricing plans breakdown
Hex’s pricing separates individual users from teams that need collaboration, shared workspaces, and stronger security. Here’s what each plan includes and who it’s for:
Community plan
Price: Free
What’s included: Notebook tools, SQL support, published apps, and small compute for lightweight work.
Best for: Students, solo learners, and hobbyists testing Hex before moving into a paid plan.
Pros: No cost, easy workspace for small projects, and support for basic notebooks and apps.
Cons: No shared workspace, limited compute, and no advanced collaboration features.
Professional plan
Price: $36 per editor per month
What’s included: Everything in Community, plus unlimited notebooks, published apps, version history, and Medium compute.
Best for: Individual data practitioners who work alone and need more power than the free tier provides.
Pros: Medium compute included, more reliable version history, and more publishing options.
Cons: Still limited to a personal workspace and heavier compute requires paid upgrades.
Team plan
Price: $75 per editor per month
What’s included: Everything in Professional, plus shared workspaces, extended agent access, scheduled runs, alerts, shared components, shared collections, and the option to use larger compute profiles on a pay-as-you-go basis.
Best for: Data teams that collaborate on notebooks, publish shared apps, and support broader stakeholder access.
Pros: Real collaboration, shared components for reuse, and automation tools like schedules and alerts.
Cons: Editor pricing grows with each seat, larger compute adds usage-based cost, and viewer access requires Team or higher.
Enterprise plan
Price: Custom
What’s included: Everything in Team, along with SSO, enhanced security options, audit logging, dedicated support, custom compute profiles, and compliance add-ons such as HIPAA support.
Best for: Larger organizations that need stronger governance, long-running workloads, and more control over deployment.
Pros: Stronger security, dedicated help, and support for advanced compute and compliance.
Cons: Pricing depends on contract scope, and add-ons like custom compute or compliance can raise the total.
Hex compute pricing guide: How usage-based billing works
Hex prices compute separately from editor seats. Each paid plan includes Medium compute for standard notebook work, but larger machines, GPUs, and advanced features add usage-based costs as workloads grow.
Here’s a breakdown of Hex’s available compute profiles, including RAM, CPU, and cost per hour:
Profile | GB | CPU | Price/hr* |
|---|---|---|---|
Extra small | 2 | 0.25 | Free |
Small | 4 | 0.5 | Free |
Medium | 8 | 1 | Free |
Large | 16 | 2 | $0.32 |
Extra large | 32 | 4 | $0.65 |
2XL | 64 | 8 | $1.29 |
4XL | 128 | 16 | $2.58 |
V100 GPU | 56 | 6 | $6.70 |
A100 GPU | 27 | 6 | $4.06 |
L4 GPU | 27 | 6 | $2.93 |
*Billed per minute of usage. Free trials are limited to Medium compute.
Larger machines and GPUs use pay-as-you-go pricing. The table above shows options like Large, Extra Large, 2XL, 4XL, and several GPU profiles. Each one has higher RAM and CPU, and the hourly rate increases with the size of the machine.
Team and Enterprise users can choose these larger profiles when they need more power for data science workloads. Billing runs by the minute, so the total cost depends on how long each run lasts.
Tip: You can learn more about Hex compute pricing on their pricing page by hovering over small, medium, or advanced compute and clicking ‘learn more’ to see the compute profiles.Is Hex worth the cost?
Hex is worth the cost when your team works in notebooks and SQL often, and most users actively edit analysis, not just view results.
Here’s how to decide:
Hex is worth it if: Your team writes analysis in notebooks or SQL and needs shared workspaces, schedules, and publishable apps in one place.
Hex is best for: Data teams that want a central environment for notebooks, apps, and shared components without switching across tools.
Skip it if: Most of your users only view dashboards or check simple metrics, since per-editor pricing grows fast when few users edit and many only consume results.
Hex works well for technical teams that write SQL or Python and publish shared work. If your goal is to get answers from business data without writing code, a guided analysis tool will fit better.
Hex alternatives and pricing comparisons
People usually look for Hex alternatives when pricing, compute limits, or cloud-only deployment create friction for their team. I tested three tools that reflect the most common reasons users switch.
Here’s how Hex alternatives compare:
Tool | Starting Price (Billed monthly) | Best For | |
|---|---|---|---|
Business users | Text-based analysis with data connectors and scheduled reports | ||
Team notebooks | Real-time collaboration with version history and notebook tools | ||
Individual experiments | Cloud notebooks with GPU support and Drive integration |
Julius: Best for business users
We designed Julius for people who want answers from their data without writing SQL or Python. You connect your sources, ask a question in natural language, and get charts, summaries, and reports in one place. This gives you a direct way to work with your data when you don’t need a full notebook setup.
You can check metrics, review trends, explore relationships across your tables, or track changes over time. Julius shows how each answer was generated so you can understand the logic behind the results without working directly in notebook code. Scheduled reports and shared workspaces help teams revisit the same analysis over time.
Julius starts at $20 per month. You get a clear monthly price and one place to explore your data, run deeper analysis, and share results with your team.
If you’d like to learn more, we have a Julius vs. Hex comparison.Deepnote: Best for team notebooks
Deepnote is a cloud notebook workspace built for teams that write SQL or Python together. You can share notebooks, edit in real time, comment on work, and keep version history across projects.
I looked at Deepnote to see how its shared editing and workspace tools support daily analysis. The interface makes it easy for teams to collaborate on code, review changes, and keep work organized in one place.
Deepnote starts at $49 per editor per month. It fits teams that spend most of their time in notebooks and want a shared environment for coding and review.Google Colab: Best for individual experiments
Google Colab is a cloud notebook service with access to free and paid GPU options. People often use it for experiments, quick tests, or small machine learning projects that need more compute.
I used Colab to understand how well it supports one-off work without setup. It loads fast, runs Python out of the box, and gives individuals a simple place to test ideas or run training jobs.
Colab Pro starts at $9.99 per month. It works well for solo users who want low-cost access to stronger machines without managing a larger workspace.Hex vs Julius: Which should you choose?
Hex supports teams that write notebooks and SQL together, while Julius helps business users answer questions about metrics, segments, and trends without writing code. Both tools solve different parts of the analysis workflow, so the right choice depends on how your team works and how sensitive you are to Hex pricing.
Use this quick guide to figure out what fits your needs:
Julius is better for: Business users who want fast answers from connected data without managing editor seats or compute limits. It works well when people need clear charts and summaries without setting up notebooks.
Hex is better for: Data teams that write code daily and need shared notebooks, apps, and schedules. This setup makes the most sense when your team prefers a code-first workspace and wants to build their own analysis.
Use both if: Your technical users need a notebook environment, while non-technical teammates still need simple questions answered in natural language. This split helps each group work at their own pace without running into friction from Hex pricing or seat limits.
My bottom line on Hex pricing
Hex pricing works for teams that spend most of their time in SQL or Python and need a shared notebook workspace with publishing, schedules, and collaboration built in. The editor-based model fits code-first workflows, but costs grow as edit access spreads across the team or as workloads move beyond the included compute.
The included Medium compute supports most daily analysis, but usage-based pricing for bigger machines adds another expense to plan for. This can make long-term costs harder to predict when workloads grow or teams run heavier notebooks.
If your team wants a faster way to ask questions, track metrics, or share updates without writing SQL, I’d recommend Julius. It gives you a clear workspace for natural-language questions, scheduled reports, and deeper review in Notebooks without managing compute or editor seats.
Frequently asked questions
Is Hex good for non-technical users?
Does Hex charge for compute?
Yes, Hex bills larger compute profiles beyond the included Medium tier. You only pay when a notebook runs on a bigger machine or GPU. This adds another cost to plan for when your workloads grow.
Is Hex free to use?
Yes, Hex offers a free Community plan with core notebook tools and small compute. You can use it for personal projects or learning without paying for editor seats. You upgrade only when you need shared workspaces, schedules, or larger compute profiles.
