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About

Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).

About

Managed Service for Apache Airflow is a fully managed workflow orchestration platform from Google Cloud built on the open-source Apache Airflow project. It allows users to author, schedule, and monitor data pipelines using Python-based workflows known as DAGs. The platform eliminates the need to manage infrastructure, enabling teams to focus on building and running pipelines. It integrates seamlessly with Google Cloud services such as BigQuery, Dataflow, and Managed Service for Apache Spark. It also supports hybrid and multi-cloud environments, allowing workflows to span across different systems. Users benefit from built-in monitoring, logging, and troubleshooting tools for reliability. The service is designed to simplify complex data workflows, including ETL, MLOps, and automation tasks. Overall, it provides a scalable and flexible solution for orchestrating modern data pipelines.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies in need of a big data solution

Audience

Data engineers, DevOps teams, and enterprises seeking a scalable, fully managed solution to orchestrate complex data pipelines across hybrid and multi-cloud environments

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.074 per vCPU hour
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/databricks/

Company Information

Google
Founded: 1998
United States
cloud.google.com/products/managed-service-for-apache-airflow

Alternatives

Alternatives

Amazon MWAA

Amazon MWAA

Amazon
Apache Airflow

Apache Airflow

The Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon

Categories

Categories

Integrations

APERIO DataWise
Ango Hub
Artie
Azure Data Lake
Dataform
Eureka
Evvox
Google Cloud Pub/Sub
Herus
Indent
Microsoft Power BI
NLSQL
Openbridge
Prophecy
Python
QueryPie
Replenit
Signara
Syntho
Zing Data

Integrations

APERIO DataWise
Ango Hub
Artie
Azure Data Lake
Dataform
Eureka
Evvox
Google Cloud Pub/Sub
Herus
Indent
Microsoft Power BI
NLSQL
Openbridge
Prophecy
Python
QueryPie
Replenit
Signara
Syntho
Zing Data
Claim Azure Databricks and update features and information
Claim Azure Databricks and update features and information
Claim Google Cloud Managed Service for Apache Airflow and update features and information
Claim Google Cloud Managed Service for Apache Airflow and update features and information