Great Expectations vs Soda Core: 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 Great Expectations and Soda Core 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:
Great Expectations
Ensure governance and trust in AI with robust data quality across your pipelines.
Best for you if:
- • You want catches data problems early in the pipeline
Soda Core
Automate data quality detection, explanation, and resolution with AI-powered data observability.
Best for you if:
- • You want significantly reduces false positives in anomaly detection (70% fewer than Facebook Prophet)
| At a Glance | ||
|---|---|---|
Starts at | Free plan | Free plan, paid from $750/mo, billed monthly Team plan |
Category | Testing & QA Data Quality | Data Quality Analytics |
Rating | n/a | 4.4/5 G2 4.4 55 reviews |
Free plan | Yes | Yes |
Watch out for | n/a | Add-ons for Team tier are extra. |
Choose Great Expectations or Soda Core?
Choose Great Expectations if
- You want catches data problems early in the pipeline
- You want helps align technical and business teams on data quality
- You work in testing & QA, not data quality
Choose Soda Core if
- You want significantly reduces false positives in anomaly detection (70% fewer than Facebook Prophet)
- You want scales efficiently to large datasets (1B rows in 64 seconds)
- You work in data quality, not testing & QA
In-Depth Analysis
Great Expectations
Ensure governance and trust in AI with robust data quality across your pipelines.
Great Expectations offers a generous free Developer tier, making it highly accessible for individual users and small projects.
Strengths
- Pro: Catches data problems early in the pipeline
- Pro: Helps align technical and business teams on data quality
- Pro: Flexible and integrates with existing data workflows
- Pro: Offers both open-source and cloud solutions
- Pro: Automates data quality checks and test generation
Weaknesses
- Con: Specific pricing details for Team and Enterprise solutions are not publicly available, requiring direct engagement to understand costs.
- Con: The primary focus is on data quality testing and validation, which might not encompass all aspects of a broader data governance strategy without integration with other tools.
- Con: While built on open source, the advanced features and managed service (GX Cloud) require a commercial offering, potentially limiting the full experience for purely open-source users.
Key features
Soda Core
Automate data quality detection, explanation, and resolution with AI-powered data observability.
Soda Core's pricing is fair for small teams but can quickly become expensive for larger organizations.
Watch out
Add-ons for Team tier are extra.
Strengths
- Pro: Significantly reduces false positives in anomaly detection (70% fewer than Facebook Prophet).
- Pro: Scales efficiently to large datasets (1B rows in 64 seconds).
- Pro: Unifies technical and business teams around data quality with shared workflows and data contracts.
- Pro: Automates the creation of data quality checks and contracts, reducing manual effort.
- Pro: Detects anomalies at a granular record level without requiring explicit check definitions.
Weaknesses
- Con: No explicit free tier mentioned, suggesting it's a paid solution.
- Con: Requires integration into existing data environments.
Key features
Plans and prices: Great Expectations vs Soda Core
| Tool | Plans and prices | Source |
|---|---|---|
| Great Expectations |
| greatexpectations.io/pricing read Oct 1, 2026 |
| Soda Core |
| soda.io/pricing read Oct 19, 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 Great Expectations pricing and Soda Core pricing.
Key Takeaways
Great Expectations
- Choose if you want ensure governance and trust in AI with robust data quality across your pipelines
Soda Core
- Choose if you want automate data quality detection, explanation, and resolution with AI-powered data observability
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 Soda Core has a published user rating (4.4/5 from 55 reviews); Great Expectations has none we can show.
- Soda Core starts at $750/mo, billed monthly; Great Expectations 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 Great Expectations and Soda Core 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 Soda Core has a published user rating (4.4/5 from 55 reviews); Great Expectations has none we can show. Soda Core starts at $750/mo, billed monthly; Great Expectations has no public paid plan price on file. Both have a free plan.
What are Great Expectations and Soda Core used for?
Great Expectations: Ensure governance and trust in AI with robust data quality across your pipelines. Soda Core: Automate data quality detection, explanation, and resolution with AI-powered data observability.
What does Great Expectations cost vs Soda Core?
Great Expectations has no public paid-plan price on file. Soda Core's cheapest paid plan is Team at $750/mo, billed monthly; it also has a free plan. Prices read on the vendors' pricing pages, latest check Oct 19, 2026.
What's the main difference between Great Expectations and Soda Core?
Great Expectations's main strength: catches data problems early in the pipeline. Soda Core's main strength: significantly reduces false positives in anomaly detection (70% fewer than Facebook Prophet).