Y42
Y42: A managed pipeline platform with testing, freshness monitoring, lineage, and Git control. Ranked #38 of 39 in Data Observability Tools by our editors (5.5/10); pricing: Free plan; best for small teams using a managed data pipeline.
At a glance
- Editor score5.5 / 10
- PricingFree plan
- Best forSmall teams using a managed data pipeline
- Free planYes
- Paid from$500/mo
- Founded2020
- Facts checked4 Oct 2026
Where it wins
- Freshness dashboards, build logs, tests, and failed-test notifications
- Lineage exploration and stale-dependency detection across assets
- Native Git, warehouse integrations, SQL/dbt Core, and Python assets
Where it doesn't
- Business includes only two spaces and three users
- Cloud deployment is the listed deployment option
- Support is provided through documentation channels
Our verdict on Y42
Y42 is a cloud data pipeline management and orchestration platform for teams working with cloud data warehouses. It connects sources, transforms data with SQL, dbt Core, Python, or low/no-code tools, and schedules refreshes. Its observability layer combines pipeline health and freshness dashboards, asset-level build logs, table and column tests, failed-test notifications, lineage views, and Git-based version control. That makes it a fit for small teams that want managed pipeline operations alongside data quality monitoring.
The pricing model is freemium, with a free plan and a paid Business tier starting at $500 per month with monthly billing. Business includes two spaces, three users, a browser-based UI and Code IDE, a declarative orchestrator and scheduler, native Git and data warehouse integrations, plus SQL/dbt Core and Python assets. Enterprise adds unlimited spaces, pull requests for data developers, time travel for data, an SLA, SSO using Okta, SCIM and OAuth, and audit logging. Teams should compare those included capacities and governance features with their collaboration and control requirements before choosing a tier.
Y42’s strongest observability capabilities are its rule-based table and column checks, including non-null and uniqueness checks, inspection of rows that fail tests, and stale-dependency detection when upstream data or code changes. Lineage helps connect incidents across data assets, while email and in-app alerts surface failed tests. Integrations include BigQuery, Snowflake, Fivetran, and Airflow, and the managed platform connects to customer-owned warehouses. Choose Y42 when pipeline orchestration, warehouse workflows, and quality monitoring belong in one web application. Teams needing self-hosted deployment or broader support channels should consider alternatives.
Your product? Our editors can test Y42 in depth and publish a review, labelled as paid · from $149/mo →
Y42 pricing
Y42 fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $500/mo |
| Pipeline monitoring | Not verified |
| Freshness monitoring | Yes |
| Schema change detection | Not verified |
| Anomaly detection | Not verified |
| Data lineage | Not verified |
| Deployment | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | GDPR |
| Support | Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: BigQuery, Snowflake, Fivetran, Airflow See all → |
| Pricing | Free plan (source) |
| Website | y42.com |
| Facts checked | 4 Oct 2026 |
Y42 integrations
Y42 lists 4 integrations on its own site.
- BigQuery
- Snowflake
- Fivetran
- Airflow
Alternatives to Y42
- Datadog Data ObservabilityA Datadog-native view of data quality, lineage, pipeline jobs, and costs.9.3
- IBM Data Observability by DatabandPipeline-focused observability with lineage, quality alerts, and Airflow integrations.9.1
- Actian Data ObservabilityWarehouse-native monitoring with custom SQL metrics, incident history, and lineage.9.0
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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