Cube vs Steampipe: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Cube and Steampipe side by side. This page compares data; it is not a hands-on review.
On the data: On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
Cube
The universal semantic layer for AI- and BI-ready data with agentic analytics.
Best for you if:
- • You want a tool that ensures consistent metric definitions across all tools, reducing discrepancies
Steampipe
Dynamically query APIs, code, and cloud resources with SQL for Zero-ETL insights.
| At a Glance | ||
|---|---|---|
Starts at | Free plan, paid from $40/mo, billed monthly Starter plan | Free 100% free |
Category | Data & Databases AI Agents | Data & Databases API Tools |
Rating | 4.6/5 G2 4.5 · SourceForge 4.7 30 reviews | n/a |
Free plan | Yes | Yes |
Watch out for | No explicit mention of data volume or query overage fees beyond limits. | n/a |
Choose Cube or Steampipe?
Choose Cube if
- You want a tool that ensures consistent metric definitions across all tools, reducing discrepancies
- You want a tool that speeds up data model deployment and reduces analytics downtime
Choose Steampipe if
- You need data & databases features specifically.
In-Depth Analysis
Cube
The universal semantic layer for AI- and BI-ready data with agentic analytics.
Cube's pricing structure is fair, offering a generous Free tier for hobbyists to explore its semantic layer and agentic analytics.
Watch out
No explicit mention of data volume or query overage fees beyond limits.
Strengths
- Pro: Ensures consistent metric definitions across all tools, reducing discrepancies.
- Pro: Speeds up data model deployment and reduces analytics downtime.
- Pro: Enhances AI capabilities by providing a contextual semantic layer for LLMs.
- Pro: Offers robust features for embedded and real-time analytics.
- Pro: Provides high availability and performance insights for production environments.
Weaknesses
- Con: Pricing is per developer, which might scale for larger teams.
- Con: Advanced enterprise features like BYOC and BYOLLM are only available on the custom plan.
Key features
Steampipe
Dynamically query APIs, code, and cloud resources with SQL for Zero-ETL insights.
Steampipe offers a very generous pricing model with two free tiers.
Strengths
- Pro: SQL for cloud APIs
- Pro: Good plugins
- Pro: Open source
- Pro: Active development
- Pro: Good documentation
Weaknesses
- Con: Learning curve
- Con: Niche use case
- Con: Resource usage
- Con: Plugin quality varies
- Con: Still maturing
Key features
Plans and prices: Cube vs Steampipe
| Tool | Plans and prices | Source |
|---|---|---|
| Cube |
| cube.dev/pricing read Nov 2, 2026 |
| Steampipe |
| steampipe.io read Sep 30, 2026 |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on Cube pricing and Steampipe pricing.
Key Takeaways
Cube
- Worth considering for data & databases
Steampipe
- Worth considering for data & databases
What the data shows
On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
- Only Cube has a published user rating (4.6/5 from 30 reviews); Steampipe has none we can show.
- Cube starts at $40/mo, billed monthly; Steampipe has no public paid plan price on file.
- Both have a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do Cube and Steampipe compare in 2026?
On the data below the two are close or not directly comparable, so we do not name a winner for this pair. Only Cube has a published user rating (4.6/5 from 30 reviews); Steampipe has none we can show. Cube starts at $40/mo, billed monthly; Steampipe has no public paid plan price on file. Both have a free plan.
What are Cube and Steampipe used for?
Cube: The universal semantic layer for AI- and BI-ready data with agentic analytics. Steampipe: Dynamically query APIs, code, and cloud resources with SQL for Zero-ETL insights.
What does Cube cost vs Steampipe?
Cube's cheapest paid plan is Starter at $40/mo, billed monthly; it also has a free plan. Steampipe is free. Prices read on the vendors' pricing pages, latest check Nov 2, 2026.
What's the main difference between Cube and Steampipe?
Cube's main strength: ensures consistent metric definitions across all tools, reducing discrepancies. Steampipe's main strength: SQL for cloud APIs.
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