OrgStack

Detect and diagnose data quality issues in minutes, not weeks

OrgStack's data validation platform helps engineering teams save time and eliminate production outages.

What is OrgStack?

OrgStack is a single source of truth about the quality of your team's data.
OrgStack's web platform and developer tools make it easy to manage
data sources, receive critical alerts, and trace incidents to their source.

Build better products

Albert Franzi describes how his team at Alpha Health leverages data validation to build better products.

Diagnose issues faster

Arun Swami describes the challenges LinkedIn faced in detecting and debugging poor data quality.

Maintain high availability

Lavanya Kanchanapalli discusses the relationship between data quality and high availability at Netflix.

Built for developers,
by developers

OrgStack combines all of the tools that data and software engineering teams require to keep their data in check.

Data source management

Create and share data sources with your team, all in one place. OrgStack integrates with your preferred data sources, like cloud services, SQL databases, file storage, API's, custom ETL's, and more.

Logging and alerting

Capture logs every time code is built or a data source is queried. Browse detailed tracebacks in error reports.

Root cause analysis

Trace data-related incidents to their source. OrgStack handles the detective work by tracking connections between data services.

Powered by open source

OrgStack's core validation engine is open source and available to the community.

Readily accessible

OrgStack provides flexible options for accessing the platform. Host on your preferred infrastructure.

OrgStack SaaS

OrgStack SaaS offers fully-managed instances of the OrgStack platform in our own cloud. Get up and running immediately.

Custom Deployments

OrgStack is built on Kubernetes, which makes it easy to deploy and scale in a private cloud, on-premise, or on any other infrastructure.

Simplify the data validation process

Spend less time detecting and debugging data quality issues.
Eliminate downtime in production infrastructure.

Monitor data quality in production data pipelines.

Create, share, and manage data sources in one place.

Expedite root cause analysis for data-related incidents.

Accelerate ETL processes and workflows.

Automatically validate internal and external data sources.

Seamlessly integrate with popular data and software engineering tools.