Tracelight

Tracelight.ai helps you track where your data comes from and goes. It's like a detective for your business data.

Data Governance Tool
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Tracelight Review

Tracelight.ai helps you track where your data comes from and goes. It's like a detective for your business data.

Tracelight logo

What is Tracelight?

Tracelight.ai automatically maps your data's journey, spotting problems and ensuring you follow the rules. Think of it as a friendly guide, making sure your data is safe and sound across different systems. It helps you make smarter choices and keeps things running smoothly in today's complex data world.

Tracelight home page
Device frame

What is Tracelight?

Tracelight.ai automatically maps your data's journey, spotting problems and ensuring you follow the rules. Think of it as a friendly guide, making sure your data is safe and sound across different systems. It helps you make smarter choices and keeps things running smoothly in today's complex data world.

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Tracelight Key Features

  • Automated Data Lineage Mapping
    Tracelight.ai uses AI to automatically find and show where data comes from and how it moves. It creates graphs that make it easy to see how data travels from its source to where it's used. This can cut down on manual work by as much as 80%, according to their case studies.


  • Anomaly Detection and Alerts
    The platform uses machine learning to spot problems like data leaks, mistakes, or when rules are broken. It sends alerts through email, Slack, or dashboards. You can customize these alerts to fit your needs.


  • Compliance Auditing Tools
    It helps follow major rules and includes tools for automated reports for audits. It tracks changes to data and has audit trails that can be exported as PDF or CSV files.

     


  • Integration with Data Ecosystems
    It connects easily with tools like AWS S3, Google BigQuery, Snowflake, and APIs. This lets users bring in data without having to write a lot of code. It also has a no-code/low-code interface to make setup easier.


  • AI-Powered Insights and Recommendations
    Besides tracing data, it gives advice on how to make things better. It can suggest ways to clean up data or make data pipelines more efficient. It uses natural language processing (NLP) to understand questions in plain English, like "Show me where customer data from last quarter came from."

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