Y42
UnclaimedUnified platform for building, monitoring, and maintaining robust data flows.
Visit WebsiteTL;DR - Y42
- Unified platform for building, monitoring, and maintaining data pipelines.
- Offers version control for both code and data to ensure data quality.
- Designed to reduce maintenance, improve predictability, and optimize costs for data orchestration.
Pricing: Free plan available
Best for: Growing teams
4.9/5 across review platforms
Pros & Cons
Pros
- Unifies fragmented data flows into a single platform.
- Reduces manual maintenance and operational overhead.
- Provides robust version control for data and code.
- Offers observability to prevent data pipeline errors.
- Helps optimize cloud data warehouse costs.
Cons
- Pricing for advanced features can be significant for smaller teams.
- Requires familiarity with SQL/dbt Core and Python for full utilization.
Ratings Across the Web
4.9(16 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Browser-based UI and Code IDEDeclarative orchestrator and schedulerNative Git and Data Warehouse integrationsSQL/dbt Core and Python assets supportBuilt-in observability for data pipelinesBranch environments for production deploymentData quality assuranceTime travel for data
Pricing Plans
Free TrialBusiness
$500/month
- 2 spaces included
- 3 users included
- Browser-based UI and Code IDE
- Declarative orchestrator and scheduler
- Native Git and Data Warehouse integrations
- SQL/dbt Core and Python assets
Enterprise
Custom
- Everything in the Business plan, plus additional collaboration and data quality assurance features.
- Unlimited spaces
- Pull requests built for data developers
- Time travel for data
- Service level agreement (SLA)
- SSO using Okta, SCIM and OAuth
- Audit logging
About Y42
By Toolradar Team·
Y42 is a turnkey data orchestration platform designed to help data practitioners build, monitor, and maintain reliable data flows. It aims to solve common challenges in data management such as fragmented data flows, tedious maintenance work, unpredictable failures, wasteful version control, and expensive cloud data warehouse costs. The platform provides a unified space to manage the entire data lifecycle, from ingestion and transformation to testing and automation.
This tool is ideal for data practitioners and teams looking to streamline their data operations, reduce manual effort, and gain better control and observability over their data pipelines. By offering features like native Git integration, branch environments, and data quality assurance, Y42 enables users to make changes with confidence and ensure data reliability, ultimately powering business intelligence and decision-making.
How we evaluate tools →Source: y42.com
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Y42 FAQ
How does Y42 address the issue of fragmented data flows across multiple tools?
Y42 provides a unified space for building, monitoring, and maintaining robust data flows. This platform is designed to consolidate data orchestration, eliminating the need for disparate tools and reducing fragmentation.
What specific features does Y42 offer to ensure data quality and prevent errors in pipelines?
Y42 includes built-in observability capabilities to proactively prevent data pipeline errors. Additionally, it supports version control for both code and data, ensuring that only validated data goes into production and enabling confident changes.
Can Y42 integrate with existing data warehouses and support different data asset types?
Yes, Y42 offers native Git and Data Warehouse integrations. It supports various data asset types, including SQL/dbt Core and Python assets, allowing for flexible data pipeline development within your current infrastructure.
What are the key differences in features between the Business and Enterprise plans?
The Enterprise plan includes all features of the Business plan, plus additional collaboration and data quality assurance features such as unlimited spaces, pull requests designed for data developers, data time travel, and an SLA. It also offers advanced security features like SSO using Okta, SCIM, OAuth, and audit logging.
How does Y42 handle data ingestion from various sources, including custom ones?
Y42 offers a SQL-based ingestion add-on that leverages pre-built hosted connectors powered by cData to load data into your warehouse. For custom sources, you can utilize Y42's Python ingestion capabilities.
What mechanisms does Y42 provide for managing and deploying changes to data pipelines with confidence?
Y42 enables users to make changes with confidence by version controlling both the code and the data. This ensures that bad data never goes live and allows for reliable deployment to production through features like branch environments and data quality assurance.
Source: y42.com