AWS Deequ
A Spark-based library for defining and running data quality tests on large datasets
- Also known as
- aws-deequ
Available worldwide
What is AWS Deequ?
A library built on Apache Spark for creating data quality tests that measure data integrity in large datasets. Supports custom validation rules, anomaly detection, and provides both Scala and Python APIs for defining and executing quality checks.
AWS Deequ pricing
We don't have AWS Deequ's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What AWS Deequ does
The capabilities that matter for data quality, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment model
- Self hosted open source
- ML automated anomaly detection
- ✓
- Custom python sql testing rules
- ✓
- Column level data lineage tracing
- -
- Data freshness delay monitoring
- ✓
- Schema change drift alerts
- ✓
- Data volume anomaly monitoring
- -
- Snowflake bigquery dwh sync
- -
- Dbt airflow orchestration sync
- -
- Slack pagerduty incident routing
- -
- SOC2 type ii
- -
- ISO 27001
- -
- Pricing model
- Open source free
Platform & deployment
Independently observed- CLI
- Cloud / SaaS
- Self-hosted
Integrations (2)
Independently observed- Apache Spark
- Python
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
AWS Deequ FAQ
Common questions about AWS Deequ, answered from independent, dated evidence.
What is AWS Deequ?
A library built on Apache Spark that enables users to define and execute validation tests against large datasets to assess and verify data quality. It is indexed under Data Quality.
Source: https://github.com/pricing
Is AWS Deequ free to use?
AWS Deequ is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.
Source: https://github.com/pricing
Can AWS Deequ be self-hosted?
Yes. AWS Deequ can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://github.com/pricing
Is AWS Deequ open source?
Yes. AWS Deequ is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Source: https://github.com/awslabs/deequ
Where is AWS Deequ available?
AWS Deequ is available worldwide. The vendor is headquartered in the United States.
Source: https://github.com/pricing
AWS Deequ alternatives
Other data quality we track, ranked by the same independent score.
Compare AWS Deequ
Side by side against other data quality, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for AWS Deequ, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 80 | 0.08 | 6.5 | ✓ |
| Capabilities | 67 | 0.08 | 5.4 | ✓ |
| Security score | 63 | 0.05 | 3.4 | ✓ |
| Stars | 67 | 0.05 | 3.2 | ✓ |
| Development activity | 19 | 0.14 | 2.6 | ✓ |
| Dependent projects | 24 | 0.05 | 1.3 | ✓ |
| Integrations | 14 | 0.05 | 0.7 | ✓ |
| Security posture | 5 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 3 | mediumsource · 2026-10-13 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 70% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Pricing model: open_source_free · Deployment model: self_hosted_open_source · Schema change drift alerts: Yes · Ml automated anomaly detection: Yes · Custom python sql testing rules: Yes · Data freshness delay monitoring: Yes | mediumsource · 2026-10-13 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 2 | mediumsource · 2026-08-18 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Scala | highsource · 2026-10-13 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-13 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-18 · 75% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-18 · 60% |
| Scorecard | 6.3 | highsource · 2026-10-13 · 90% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=maven&package_name=com.amazon.deequ%3Adeequ&per_page=100 · Last 12m: 0 | highsource · 2026-10-13 · 90% |
| Trust center | https://github.com/security | mediumsource · 2026-10-13 · 60% |
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