Informatica Data Quality & Observability vs Great Expectations (GX Core)
Verdict: Informatica Data Quality & Observability scores 8.2/10 against 7.9/10 for Great Expectations (GX Core) on our data score for data quality tools.
Great Expectations (GX Core) has a free plan; Informatica Data Quality & Observability does not.
Great Expectations (GX Core) leads on 2 checks and Informatica Data Quality & Observability on 1; 2 are even, out of 5 checks (yes/no, price and seats) where we have data for both.
Choose Informatica Data Quality & Observability for large enterprises already using Informatica IDMC or PowerCenter. Choose Great Expectations (GX Core) for python data engineers who want code-defined data tests in pipelines at no license cost.
Scoreboard: 5 checks
| Check | Informatica Data Quality & Observability | Great Expectations (GX Core) |
|---|---|---|
| Free plan | Leads | |
| Free trial | Leads | |
| Smaller seat minimum | Even | Even |
| Custom rule checks | Even | Even |
| Open source | Leads | |
| Total | 1 | 2 |
At a glance
| Informatica Data Quality & Observability | Great Expectations (GX Core) | |
|---|---|---|
| Score | 8.2/10 (#5) | 7.9/10 (#6) |
| Best for | Large enterprises already using Informatica IDMC or PowerCenter | Python data engineers who want code-defined data tests in pipelines at no license cost |
| Free plan | No | Yes |
| Paid from (annual) | See vendor | See vendor |
| Paid from (monthly) | — | — |
| Free trial | Free 30-day trial (Cloud Data Quality) | — |
| Minimum seats | 1 | 1 |
| Platforms | Cloud (SaaS) | Self-hosted (Python library), Python library (self-hosted), Cloud (SaaS) |
Features
| Tool | Score | Data profiling | Custom rule checks | ML anomaly detection | Data cleansing / correction | Open source |
|---|---|---|---|---|---|---|
| Informatica Data Quality & Observability | 8.2/10 | Yes | Yes | Yes | Yes | No |
| Great Expectations (GX Core) | 7.9/10 | Not confirmed | Yes | Not confirmed | Not confirmed | Yes |
- Only Informatica Data Quality & Observability confirms: Data profiling, ML anomaly detection, Data cleansing / correction.
- Only Great Expectations (GX Core) confirms: Open source.
Pros and cons
Informatica Data Quality & Observability
Pros- Covers profiling, rules, cleansing and standardization in one service
- Observability tracks freshness, volume, distribution, schema change and lineage
- Consumption (IPU) pricing shares one pool of units across eligible IDMC services
- 30-day free trial of Cloud Data Quality
- No published IPU prices; a quote is needed even for a price range
- IPU consumption is metered per scaler, which makes costs harder to estimate up front
- Alert channels are not described on the product page
Great Expectations (GX Core)
Pros- Free and open source (Apache-2.0), about 11.9k GitHub stars
- Large library of built-in Expectations, extensible with custom ones
- Checkpoint actions can notify Slack, Microsoft Teams, email, PagerDuty, Opsgenie or an API endpoint
- Actively released: version 1.25.0 published on PyPI on 2026-11-12
- GX Cloud (the hosted UI) is no longer publicly available, so there is no vendor-hosted option
- Code-first; requires Python skills to set up and maintain
- No built-in ML anomaly detection or data cleansing stated
- Long-term roadmap under Fivetran stewardship not yet detailed
Frequently asked questions
How do Informatica Data Quality & Observability and Great Expectations (GX Core) compare on features and price?
Great Expectations (GX Core) leads on 2 checks and Informatica Data Quality & Observability on 1; 2 are even, out of 5 checks (yes/no, price and seats) where we have data for both.
Is Informatica Data Quality & Observability better than Great Expectations (GX Core)?
Informatica Data Quality & Observability scores 8.2/10 against 7.9/10 for Great Expectations (GX Core) on our data score for data quality tools. Informatica Data Quality & Observability is best for large enterprises already using Informatica IDMC or PowerCenter; Great Expectations (GX Core) is best for python data engineers who want code-defined data tests in pipelines at no license cost.
Which is cheaper, Informatica Data Quality & Observability or Great Expectations (GX Core)?
Check each vendor's pricing page; one of them does not publish an entry price.
Do Informatica Data Quality & Observability and Great Expectations (GX Core) have free plans?
Informatica Data Quality & Observability: no. Great Expectations (GX Core): yes.
See the full Data Quality Tools ranking for other options.
Sources
- Informatica Data Quality & Observability: official pricing page · Informatica Data Quality & Observability product page · Informatica IDMC pricing page · Informatica Cloud Data Quality free trial page
- Great Expectations (GX Core): official pricing page · GX Core GitHub repository (fivetran/great_expectations) · Great Expectations blog: An update from Great Expectations · Fivetran press release on GX Core stewardship · GX Core checkpoint actions source · PyPI great-expectations · GX Cloud pricing page · GX docs: Connect to filesystem data · GX API reference: PandasFilesystemDatasource · GX docs: Schema data quality use case · great_expectations GitHub repository