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Datakin is an end-to-end, real-time data lineage solution that helps you manage everything in your data ecosystem.
Data lineage is the key to effective data operations and observability.
Datakin automatically traces data lineage, showing your entire data ecosystem in a rich visual graph. It clearly illustrates the upstream and downstream relationships for each dataset.
The Duration tab summarizes a job’s performance in a Gantt-style chart along with its upstream dependencies, making it easy to find bottlenecks.
When you need to pinpoint the exact moment of a breaking change, the Compare tab shows how your jobs and datasets have changed between runs.
Sometimes jobs that run successfully produce bad output. The Quality tab surfaces critical data quality metrics, showing how they change over time so anomalies become obvious.
Datakin helps you find the root cause of issues quickly – and prevent new ones from occurring.
See your entire data ecosystem in one easy-to-manage view
Reduces data silos with a company-wide, single source to observe all data pipelines (jobs and datasets) flowing through your ecosystem
Removes the perceived black box around data teams, alleviating tensions with a clear overview of upstream and downstream dependencies and everything in your data ecosystem
Less than a few hours to set up with simple, self-service installation procedures and documentation
Compatible with your existing infrastructure without the hassle of data pipeline migrations or code changes
Collaborative solution that enables you to leverage a rich library of standard integrations developed by the community or create your own custom integrations based on your unique needs
Helps identify the root cause of pipeline failures so your data team can quickly alleviate issues
Automatically detects outliers to help pinpoint potential problems in your jobs and datasets
Ability to compare data, as it changes over time, so you can assess past changes for future success
Reducing the MTTI (mean time to identify), MTTR (mean time to resolve) and incident frequency saves your company money and increases the time that data can be used for critical analysis or business operations
Time that used to be spent doing manual work like finding, troubleshooting, and repairing issues can now be spent on more impactful business opportunities
Ability to measure the number of incidents, downtime, and other critical metrics across all your data pipelines
Identify and quickly address data failures and anomalies
Anticipate risks and avoid potential problems with your data
Alerts efficiently identify pipeline changes, highlighting potential issues, risks, and compliance concerns with slow or failed jobs
Helps to understand downstream dependencies and impact of changes before they become effective, so you can collaborate with the people consuming your data
Automatically checks the quality of your data to ensure predictable model performance
Enables you to develop trust and provide 24/7 guarantees (availability, timeliness, accuracy) to stakeholders around the production and reliability of your data
Ability to measure the number of alerts, data quality, and other critical metrics across all your data pipelines
Get the tools and transparency your team needs. Sign up now and get a whole new perspective on your pipelines.
