Product - Datakin

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

THE SOLUTION

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.

Our Product

Understand Everything

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 Data Teams

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

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

Increases 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 Dashboards

Ability to measure the number of incidents, downtime, and other critical metrics across all your data pipelines

Our Product

Resolve Issues

Identify and quickly address data failures and anomalies

Our Product

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

Helps 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