Skip to content
Z Zendikt
G
Data Observability Software · Rank #10 of 10

Great Expectations review and pricing

Open-source data quality heritage with GX Cloud commercial offering.

By Great Expectations (GX) · Founded 2018 · Remote (commercial entity HQ: USA) · private

Great Expectations is the open-source data quality heritage project in the category, originally a Python library widely used in data engineering for declarative quality expectations. The commercial entity (GX) raised a $40M Series A in 2022 and launched GX Cloud in 2023 as the managed offering. Strengths: the OSS library is genuinely widely deployed, the expectation-based check language is mature, and the dbt and Airflow integration is deep. Trade-offs: the 2023 OSS-to-Cloud transition had a mixed early-customer reception (community concerns about GX 1.0 breaking changes and the commercial direction), GX Cloud is less mature than competing managed platforms, and end-to-end observability features (lineage, incident workflow) trail Monte Carlo and Bigeye.

Visit Great Expectations Vendor pricing Compare to Sifflet
Best for

Engineering-led data teams (any size) already using Great Expectations OSS who want a managed path; Python-heavy data engineering teams that value declarative expectation-based checks in Git.

Worst for

Buyers wanting an end-to-end observability platform (Monte Carlo, Bigeye broader), teams requiring deep BI lineage, or enterprises wanting a polished UI-driven product.

Vendor Trust Score

Is Great Expectations a trustworthy vendor?

7.0/10
Mixed
Pricing transparency
Published rates; no hidden fees
7.0
Contract fairness
Reasonable terms; no auto-renew traps
7.5
Incident response
How they handle outages and breaches
7.0
Post-acquisition behavior
Customer treatment after M&A or PE
7.5
Executive stability
Leadership churn over 24 months
6.5
Roadmap honesty
Public commitments held
6.5
Trust signal log
  • 2022-02-17
    $40M Series A led by Index Ventures
    Round positioned the commercial entity (GX) for the OSS-to-Cloud transition.
  • 2023-08-22
    GX Cloud launched (managed offering)
    Commercial managed offering launched; early-customer reception mixed (UI maturity, OSS-to-Cloud migration friction).
  • 2024-06-26
    GX 1.0 breaking changes drew community criticism
    Editorial concern: existing OSS users reported significant migration cost; some forks emerged in response.
  • 2025-04-08
    GX Cloud UI redesign
    Response to early UI maturity criticism; production references still building.
Vendor Trust is scored independently of product quality. A great product from an unfair vendor still earns a low trust score.
Review Intelligence

What 110 reviews actually say

Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.

Last synthesized
2026-04-29

Praise patterns

  • OSS library is genuinely widely deployed and free
    87% →
  • Expectation-based declarative checks fit Git engineering teams
    71% →
  • Deep dbt and Airflow integration
    64% →
  • Free permanent OSS option provides vendor insurance
    51% →

Complaint patterns

  • GX 1.0 (2024) breaking changes drew community criticism
    78% ↓
  • GX Cloud less mature than competing managed platforms
    71% ↓
  • End-to-end observability (lineage, incident workflow) trails Monte Carlo
    64% →
  • BI lineage essentially absent
    47% →
  • 2022 Series A funding runway requires monitoring
    31% ↑
Sentiment trend (6 months)
72/100 +2 pts
12
01
02
03
04
05
Patterns are extracted from review corpus and human-verified. We surface trends, not anecdotes.
Verified Pricing

What buyers actually pay

38 anonymized deal disclosures · last updated 2026-05-01

Contribute your deal price
Company size Median annual
Self-hosted OSS (infra only) $12,000
100-500 employees (GX Cloud) $30,000
500+ employees (GX Cloud) $84,000
Verified pricing is crowdsourced from buyers under anonymity guarantees. Vendor-listed prices are validated against actual deals quarterly.
Compliance & Security

Auto-verified certifications

Verified 2026-05-01
SOC 2 Type II
ISO 27001
HIPAA
GDPR
CCPA
PCI DSS
FedRAMP

Editorial: Strengths

  • Genuinely widely-deployed OSS library (Apache 2.0)
  • Mature expectation-based check language
  • Deep dbt and Airflow integration
  • Free permanent OSS option provides real vendor insurance
  • Strong developer mindshare in Python data-engineering community

Editorial: Weaknesses

  • GX 1.0 (2024) breaking changes drew community criticism
  • GX Cloud (managed) less mature than competing platforms
  • End-to-end observability (lineage, incident workflow) trails Monte Carlo and Bigeye
  • 2022 Series A funding runway requires monitoring
  • OSS-to-Cloud commercial transition reception mixed in 2023-2024
  • BI lineage essentially absent

Key features & integrations

  • +Great Expectations OSS (Apache 2.0 Python library)
  • +Expectation-based declarative check language
  • +Deep dbt and Airflow integration
  • +GX Cloud managed offering
  • +Freshness, volume, schema, distribution checks
  • +Slack and PagerDuty incident routing (GX Cloud)
  • +API and webhook integrations
60+ integrations
SnowflakeBigQueryRedshiftDatabricksdbtAirflowSparkSlack
Geography supported
Global; strongest in US, EU
Best fit
1-5,000 employees · Python-heavy engineering-led data teams; OSS users migrating to managed
Editorial deep-dive

Read our full ranking of Data Observability Software

Great Expectations ranks #10 in our editorial review of 10 data observability software platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.

Read the full ranking

Closest alternatives in Data Observability Software

#9
Sifflet
French-headquartered observability with asset-graph architecture and dbt depth.
★ 4.5 opaque
#8
Lightup
ML-driven mid-market observability with pushdown query architecture.
★ 4.3 opaque
#7
Validio
European-headquartered autonomous data quality with EU data residency.
★ 4.4 opaque
Help the next buyer

Contribute your verified deal price

Pricing in B2B software is opaque because vendors want it that way. Verified buyer prices fix that, anonymously. Share what you actually paid for Great Expectations; we’ll add it to the verified pricing dataset on this page (with company size band only, no identifying details).

Submit anonymously