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What is definity?

Oversee and manage all aspects of your data pipelines without the need for any coding alterations. Monitor the flow of data and activities within the pipelines to prevent outages proactively and quickly troubleshoot issues that arise. Improve the performance of pipeline executions and job operations to reduce costs while meeting service level agreements. Accelerate the deployment of code and updates to the platform while maintaining both reliability and performance standards. Perform evaluations of data and performance alongside pipeline operations, which includes running checks on input data before execution. Enable automatic preemptions of pipeline processes when the situation demands it. The Definity solution simplifies the challenge of achieving thorough end-to-end coverage, ensuring consistent protection at every stage and aspect of the process. By shifting observability to the post-production phase, Definity increases visibility, expands coverage, and reduces the need for manual input. Each agent from Definity works in harmony with every pipeline, ensuring there are no residual effects. Obtain a holistic view of your data, pipelines, infrastructure, lineage, and code across all data assets, enabling you to detect issues in real-time and prevent asynchronous verification challenges. Furthermore, it can independently halt executions based on assessments of input data, thereby adding an additional layer of oversight and control. This comprehensive approach not only enhances operational efficiency but also fosters a more reliable data management environment.

What is Apache Airflow?

Airflow is an open-source platform that facilitates the programmatic design, scheduling, and oversight of workflows, driven by community contributions. Its architecture is designed for flexibility and utilizes a message queue system, allowing for an expandable number of workers to be managed efficiently. Capable of infinite scalability, Airflow enables the creation of pipelines using Python, making it possible to generate workflows dynamically. This dynamic generation empowers developers to produce workflows on demand through their code. Users can easily define custom operators and enhance libraries to fit the specific abstraction levels they require, ensuring a tailored experience. The straightforward design of Airflow pipelines incorporates essential parametrization features through the advanced Jinja templating engine. The era of complex command-line instructions and intricate XML configurations is behind us! Instead, Airflow leverages standard Python functionalities for workflow construction, including date and time formatting for scheduling and loops that facilitate dynamic task generation. This approach guarantees maximum flexibility in workflow design. Additionally, Airflow’s adaptability makes it a prime candidate for a wide range of applications across different sectors, underscoring its versatility in meeting diverse business needs. Furthermore, the supportive community surrounding Airflow continually contributes to its evolution and improvement, making it an ever-evolving tool for modern workflow management.

Media

Media

Integrations Supported

Apache Druid
Apache Spark
Azure Databricks
Chalk
Coursebox AI
Dagster
Determined AI
Google Cloud Managed Service for Apache Spark
Great Expectations
IRI FieldShield
Mode
Netdata
SDF
SQL
Sifflet
Stonebranch
ZenML
Zipher
dbt
lakeFS

Integrations Supported

Apache Druid
Apache Spark
Azure Databricks
Chalk
Coursebox AI
Dagster
Determined AI
Google Cloud Managed Service for Apache Spark
Great Expectations
IRI FieldShield
Mode
Netdata
SDF
SQL
Sifflet
Stonebranch
ZenML
Zipher
dbt
lakeFS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

definity

Company Website

www.definity.ai/

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

airflow.apache.org

Categories and Features

Categories and Features

Workflow Management

Access Controls/Permissions
Approval Process Control
Business Process Automation
Calendar Management
Compliance Tracking
Configurable Workflow
Customizable Dashboard
Document Management
Forms Management
Graphical Workflow Editor
Mobile Access
No-Code
Task Management
Third Party Integrations
Workflow Configuration

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