Who is Great Expectations (GX) for?

Data engineering teams validating pipelines Python-first orgs on Spark or Snowflake Teams wanting free OSS data tests Enterprises needing managed Cloud option

Who is Great Expectations (GX) not for?

Analysts wanting no-code dashboards Small teams needing quick setup Teams without Python engineering capacity Anyone burned by repeated version migrations

shouldiuse.io

Great Expectations (GX) Review

Depends

Should I use Great Expectations (GX)?

Open-source data quality and testing platform - greatexpectations.io

Analyzed October 9, 2026 · 1 week ago

Choose it if you have Python engineers validating data pipelines on Spark or Snowflake and want a free open-source core. Skip it if you want no-code setup, quick wins, or a tool with a stable API and large review base.

Confidence

Medium. Based on 14 public sources; unrelated results (novel reviews, schools, charities) excluded.

Ratings

Value for money
Ease of use
Feature depth
Support qualityOnly community forum evidence; quality unknown
Security posture

Pricing

Free

GX Core (OSS)

ModelNot disclosed

Monthly feesNot disclosed

HardwareNot disclosed

Free tierYes

GX CloudNot published in sources reviewed

Best for

Data engineering teams validating pipelines
Python-first orgs on Spark or Snowflake
Teams wanting free OSS data tests
Enterprises needing managed Cloud option

Not for

Analysts wanting no-code dashboards
Small teams needing quick setup
Teams without Python engineering capacity
Anyone burned by repeated version migrations

Gotchas - check before you buy

high

Major framework rewrites have repeatedly broken setups; budget real migration time

medium

Free core means community-forum support; human help requires the Cloud tier

medium

GX Cloud pricing not publicly listed in sources reviewed; expect sales contact

medium

OSS dependencies have carried flagged CVEs; audit pinned versions before deploying

Pros

Open-source core costs nothing to run
Deep integrations with Spark, Snowflake, cloud pipelines
Enterprise adopters including Heineken and Calm
Managed GX Cloud option with published security overview
Actively maintained with extensive documentation

Cons

Steep learning curve; users openly frustrated
Breaking changes across versions (v3 API, 0.18, 1.x)
Requires Python engineering, not plug-and-play
Tiny review base: only 11 G2 reviews
Fragmented legacy docs across versions complicate upgrades

Sources & method

Analyzed October 9, 2026 - 14 sources - GX Cloud publishes a formal security overview; the OSS package shows flagged dependency CVEs and supply-chain risk notices.

official x5review x5security x3news x1

JS dependency CVEs tracked in repo, Issue #6219 tracked CVE-2022-24785 and CVE-2022-31129 in a frontend dependency.
Supply-chain risk notice on PyPI, Third-party analysis page flags supply-chain risk for great-expectations 1.14.0.
Insecure transitive dependency in related package, DataHub issue reports acryl-great-expectations forcing an insecure version.

Key stats

Value for money: 4/5
Rating
Free
Starting price
14
Sources
October 9, 2026
Analyzed

Value for money: 4/5. Free open-source core; Cloud optional
Ease of use: 2/5. Users report steep learning curve and frustration
Feature depth: 4/5. Expectations, validation, data docs, Spark integrations
Support quality. Only community forum evidence; quality unknown
Security posture: 3/5. Cloud security overview published; dependency CVEs flagged

11 G2 reviews Very small public review base
Yes Free tier GX Core is open source
$40M Funding Series B, Feb 2022 (TechCrunch)

Pricing

GX Core (OSS)

Free

Python data testing framework
Self-hosted, community support

GX Cloud

Not published in sources reviewed

Managed platform
Support tiers
Contact sales

Security

GX Cloud publishes a formal security overview; the OSS package shows flagged dependency CVEs and supply-chain risk notices.

JS dependency CVEs tracked in repoIssue #6219 tracked CVE-2022-24785 and CVE-2022-31129 in a frontend dependency.¹¹
Supply-chain risk notice on PyPIThird-party analysis page flags supply-chain risk for great-expectations 1.14.0.¹²

Insecure transitive dependency in related packageDataHub issue reports acryl-great-expectations forcing an insecure version.

What users say

Data engineers value the concept and integrations, but the loudest feedback complains about difficulty and instability.

“Great expectations is shit”

Reddit, r/dataengineering (thread title)

Alternatives

Compare Great Expectations (GX) with each alternative.

dbt tests
Tests built into dbt; simpler if you already model in dbt
Elementary
Lightweight dbt-native data observability, faster setup
Decube
Managed data quality platform with less engineering overhead
Great Expectations (GX) vs Decube

Collate
Data quality bundled with catalog and governance
Great Expectations (GX) vs Collate

Companies that use it

Heineken^⁶
Calm^⁷
Avanade^⁸
Komodo Health^⁹

Full analysis

Based on 14 public sources; unrelated results (novel reviews, schools, charities) excluded.

Powerful free open-source data testing; heavy setup and version churn. Great for data engineers, wrong for no-code buyers.

Methodology

Based on 14 public sources; unrelated results (novel reviews, schools, charities) excluded.

Read how a report is made.

Sources

GX Core: Open Source Data Quality Platformgreatexpectations.io
official
GX Cloud securitygreatexpectations.io
security
Superconductive raises $40M (TechCrunch)techcrunch.com
news
Great Expectations G2 reviews (11)g2.com
review
Reddit: Great expectations is shitreddit.com
review
Heineken case studydiscourse.greatexpectations.io
official
Calm case studydiscourse.greatexpectations.io
official
Avanade case studygreatexpectations.io
official
Komodo Health case study (Reddit)reddit.com
review
Data quality on Spark with GXlevelup.gitconnected.com
review
Dependency CVEs issue #6219github.com
security
PyPI supply-chain risk, v1.14.0secure.software
security
GX Cloud FAQsdiscourse.greatexpectations.io
official
Capabilities discussion (Discourse)discourse.greatexpectations.io
review

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Great Expectations (GX) Review

Confidence

Ratings

Pricing