Custom Solutions for Your Team’s Success

Get in touch to find the ideal plan for your team.

Starter

Get started for free and explore the full platform with some limitations.

  • 1 data source connection
  • 1 schema observed
  • Up to 100 tables observed
  • Historical Data Analysis up to 10 days

Scale

Experience full platform access with advanced features. The Scale Plan is designed to support your team's growth seamlessly and efficiently.

  • Unlimited data source connections
  • Unlimited schemas observed
  • Up to 1,000 tables observed
  • Historical Data Analysis - no limit
  • All Incidents
  • Custom Checks

Enterprise

Comprehensive, scalable, and built for teams that need more.

  • Everything in Scale plus...
  • Unlimited tables
  • Dedicated Customer Support
  • On-prem options

Ready to focus on what matters?

Frequently Asked Questions

Want to know more? Our team is here to answer your questions.

How does Konstellation prioritize data incidents?

Konstellation prioritizes data incidents using Criticality Score, our ML-based metric designed to assess the urgency and impact of each data issue. This score is calculated based on several factors, including the potential business impact, the reliability and usage of the data impacted, and the number of stakeholders impacted.


Criticality Score helps Konstellation rank issues in order of importance, ensuring that your team focuses on the most pressing problems first. By addressing high-priority incidents that could cause significant disruption or have a high business impact, Konstellation enables data teams to "Fix What Matters" efficiently, reducing downtime and preventing costly errors. Konstellation not only saves time but also minimizes the risk of critical data issues going unnoticed or unresolved.

What Data Quality metrics does Konstellation track?

Konstellation monitors crucial data quality metrics, including Data Volume, Data Landing Times, and Null Values, to ensure your data remains reliable. Using advanced ML-based anomaly detection, Konstellation identifies unexpected data patterns and provides a summarized Table Reliability Score. This helps data teams quickly pinpoint and prioritize issues that could affect business operations, allowing them to focus on delivering consistent, high-quality insights. Additionally, Konstellation allows you to set up custom quality checks, ensuring your data meets specific business requirements without manual intervention.

What are the benefits of using Konstellation over other data observability platforms?

Konstellation is the only solution that prioritizes your data incidents based on business impact, ensuring data teams always know, with confidence, what to fix first. Separately, Konstellation offers a unique combination of ML-based anomaly detection, customizable monitoring, and a user-friendly interface, providing a comprehensive data observability and quality management solution.

Does Konstellation fix the data issues detected?

Konstellation automatically detects, prioritizes, and alerts you to data issues but doesn’t apply fixes directly to your data pipeline. Instead, it offers root-cause analysis and tailored recommendations, enabling your team to resolve issues quickly and restore data reliability. This approach ensures you maintain full control over your data while benefiting from streamlined incident resolution.

Does Konstellation store any raw data or personally identifiable information (PII)?

No, Konstellation does not store raw data or PII. Our platform works exclusively with metadata and summarized statistics, ensuring individual records remain within your environment. Konstellation operates with read-only access through APIs or service accounts, allowing you to set granular permissions for your chosen datasets. We do not create or store copies of your full data anywhere else.

Is there a free trial available for Konstellation?

Yes, we offer a free trial to see Konstellation in action with your own data and use cases. You can either schedule a meeting with us for a guided walkthrough tailored to your needs or sign up to self-explore our demo environment at Demo Page.

Learn More About Data Observability

Discover our resources to learn more!

Blog

The Three Levels of Data Quality Checks

The 3 Levels of validation every data team needs to master Data Quality.

Webinar

Webinar #2: DOs and DON'Ts in your Data Quality Strategy

Konstellation founders Kursat Hosel and Oxana Urdaneta give shortcuts and quick wins for building robust strategies for data quality.

Case Study

Transforming Data Quality for a Leading Streaming Platform

A major media and entertainment industry player, this customer had an ever-expanding user base and a growing data ecosystem.