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What is Datakin?

Reveal the underlying structure within your complex data environment and always know where to find answers. Datakin effortlessly monitors data lineage, showcasing your entire data ecosystem with an interactive visual graph. This visual representation clearly illustrates both the upstream and downstream relationships connected to each dataset. The Duration tab offers insights into job performance displayed in a Gantt-style format, along with its upstream dependencies, making it easier to pinpoint potential bottlenecks. When you need to identify the exact moment a breaking change occurs, the Compare tab enables you to track the evolution of your jobs and datasets across different runs. Sometimes, jobs that finish successfully may still produce unsatisfactory results. The Quality tab provides essential data quality metrics and their variations over time, highlighting any anomalies. By enabling quick identification of root causes for issues, Datakin is crucial in averting future complications. This proactive strategy not only maintains the reliability of your data but also enhances its effectiveness in meeting the demands of your business. Consequently, Datakin empowers organizations to operate more efficiently and make informed decisions based on accurate data insights.

What is Aggua?

Aggua functions as an AI-enhanced data fabric platform aimed at equipping both data and business teams with easy access to their information, building trust, and providing actionable insights for more informed decision-making based on data. With just a few clicks, you can uncover essential details about your organization's data framework instead of remaining unaware of its complexities. Obtain insights into data costs, lineage, and documentation effortlessly, allowing your data engineers to maintain their productivity without interruptions. Instead of spending excessive time analyzing how changes in data types affect your pipelines, tables, and overall infrastructure, automated lineage facilitates your data architects and engineers in reducing the time spent on manual log checks, allowing them to concentrate on implementing necessary infrastructure improvements more effectively. This transition not only simplifies operations but also fosters better collaboration among teams, leading to a more agile and responsive approach to tackling data-related issues. Additionally, the platform ensures that all users, regardless of their technical background, can engage with data confidently and contribute to an organization's data strategy.

Media

Media

Integrations Supported

Amazon Redshift
Google Cloud BigQuery
Snowflake
Apache Airflow
Astro by Astronomer
PostgreSQL
dbt

Integrations Supported

Amazon Redshift
Google Cloud BigQuery
Snowflake

API Availability

API Availability

Pricing Information

$2 per month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Datakin

Date Founded

2019

Company Location

United States

Company Website

datakin.com

Company Facts

Organization Name

Aggua

Date Founded

2020

Company Location

United States

Company Website

www.aggua.io

Categories and Features

Data Engineering

Not specified

Data Lineage

Not specified

Categories and Features

Data Catalog

Not specified

Data Engineering

Not specified

Data Fabric

Not specified

Data Governance

Not specified

Data Lineage

Not specified

Data Management

Not specified

Data Mapping

Not specified

Data Observability

Not specified

Data Quality

Not specified

Metadata Management

Not specified

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