Trusted data is a company's most valuable resource
Some businesses struggle to provide guarantees about data availability or quality that would help them make critical decisions. These data teams also lack visibility on issues, future risks, and spend an extraordinary amount of time fixing data issues.
53%
of Chief Data Officers say lack of data access is the biggest barrier to driving better decision making
40%
of a data analyst’s time is spent on vetting and validating analytics for data quality issues
4X
Companies who succeed with data science are 4X more likely to see growth exceeding shareholder expectations
50%
of a data practitioner’s time is spent on identifying, troubleshooting, and fixing data quality, integrity, and reliability issues
Datakin is an end-to-end DataOps solution that gives engineers the transparency and tools they need to easily manage all of their data pipelines, quickly resolving issues or preventing them from happening.
All in One Place
See your entire data ecosystem in one easy-to-manage view
Full Visibility
Reduces data silos with a company-wide, single source to observe all data pipelines (jobs and datasets) flowing through your ecosystem
Connects Teams Data
Reduces data silos with a company-wide, single source to observe all data pipelines (jobs and datasets) flowing through your ecosystem
Easy To Deploy
Less than a few hours to set up with simple, self-service installation procedures and documentation
Integrated Into Existing Workflow
Compatible with your existing infrastructure without the hassle of data pipeline migrations or code changes
Open Source
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
Root Cause Analysis
Helps identify the root cause of pipeline failures so your data team can quickly alleviate issues
Identifies Anomalies
Automatically detects outliers to help pinpoint potential problems in your jobs and datasets
Historical And Current Views
Ability to compare data, as it changes over time, so you can assess past changes for future success
Reduces Data Downtime
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
Increased Team Productivity And Impact
Time that used to be spent doing manual work like finding, troubleshooting, and repairing issues can now be spent on more impactful business opportunities
Datakin Dashbaords
Ability to measure the number of incidents, downtime, and other critical metrics across all your data pipelines
Resolve Issues
Identify and quickly address data failures and anomalies
Prevent Issues
Anticipate risks and avoid potential problems with your data
Proactive Risk Management
Alerts efficiently identify pipeline changes, highlighting potential issues, risks, and compliance concerns with slow or failed jobs
Assess Impact Changes
elps to understand downstream dependencies and impact of changes before they become effective, so you can collaborate with the people consuming your data
Ensures Data Quality
Automatically checks the quality of your data to ensure predictable model performance
Builds Trust
Enables you to develop trust and provide 24/7 guarantees (availability, timeliness, accuracy) to stakeholders around the production and reliability of your data
Datakin Dashboards
Ability to measure the number of alerts, data quality, and other critical metrics across all your data pipelines
Coming Soon
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$500
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$2500
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Try it for free
Get the tools and transparency your team needs. Contact us for a free trial or schedule a demo today.
