# Great Expectations alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 206 of the 252 answers in the 1 category where Great Expectations holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://www.gane.ai/index/it/vendors/great-expectations/alternatives

## Named instead, most often (every category and segment added)

- Monte Carlo: 38
- Metaplane: 37
- Soda: 11
- Insycle: 8
- Informatica Data Quality: 7
- Acceldata: 5

## Data quality and observability

**Small business**: 61 of 84 answers did not name Great Expectations (Great Expectations is #4 of 11 at 3%).

- Metaplane: first choice in 27 of those 61
- Soda: first choice in 7 of those 61
- Insycle: first choice in 6 of those 61
- HubSpot Data Hub: first choice in 3 of those 61
- Elementary: first choice in 2 of those 61
- Elementary Data: first choice in 2 of those 61
- Melissa Data Quality Suite: first choice in 2 of those 61
- DataOps TestGen: first choice in 1 of those 61

**Mid-market**: 67 of 84 answers did not name Great Expectations (Great Expectations is #5 of 14 at 4%).

- Metaplane: first choice in 10 of those 67
- Monte Carlo: first choice in 10 of those 67
- Soda: first choice in 4 of those 67
- Bigeye: first choice in 3 of those 67
- Grafana Cloud: first choice in 2 of those 67
- Insycle: first choice in 2 of those 67
- New Relic: first choice in 2 of those 67
- ZoomInfo OperationsOS: first choice in 2 of those 67

**Enterprise**: 78 of 84 answers did not name Great Expectations (Great Expectations is #14 of 15 at 0%).

- Monte Carlo: first choice in 28 of those 78
- Informatica Data Quality: first choice in 7 of those 78
- Acceldata: first choice in 5 of those 78
- Informatica Intelligent Data Management Cloud: first choice in 4 of those 78
- groundcover: first choice in 4 of those 78
- Datadog Data Observability: first choice in 2 of those 78
- Prizm: first choice in 2 of those 78
- Ataccama ONE: first choice in 1 of those 78

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.