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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Managed Service for Apache Airflow is a cloud-based workflow orchestration service that simplifies the creation and management of complex data pipelines. Built on the open-source Apache Airflow framework, it allows users to define workflows using Python-based DAGs. The platform is fully managed, removing the need to provision or maintain infrastructure, which helps teams focus on pipeline development and execution. It integrates with a wide range of Google Cloud services, including BigQuery, Dataflow, Cloud Storage, and Managed Service for Apache Spark. The service supports hybrid and multi-cloud environments, enabling organizations to orchestrate workflows across different platforms. It offers advanced monitoring and troubleshooting tools, including visual workflow representations and logs. New features such as DAG versioning and improved scheduling enhance reliability and control. The platform also supports CI/CD pipelines and DevOps automation use cases. Its open-source foundation ensures flexibility and avoids vendor lock-in. Overall, it provides a powerful and scalable solution for managing data workflows and automation processes.

Description

SAS Studio offers a programming environment accessible through web browsers, making it simpler and quicker to write and engage with SAS code from any location. This platform is designed to enhance teamwork by facilitating the creation of effective data pipelines, promoting effortless collaboration, minimizing the need for extensive coding, and allowing for open-source integration. It interfaces with prominent cloud data services like AWS Redshift and S3, Google BigQuery and Cloud Storage, and Azure Data Lake Storage, in addition to various relational and non-relational databases such as Oracle, Snowflake, Teradata, SingleStore, and MongoDB. Furthermore, SAS Studio is compatible with multiple file formats, including Excel, text, Parquet, and ORC. Users have the flexibility to work with a no-code, low-code, or traditional coding approach, enabling them to construct comprehensive data pipelines through drag-and-drop operations, create Python and SAS code within SAS Studio or other IDEs, and integrate these components into SAS Studio workflows for secure and centralized data access. Additionally, SAS Studio accommodates both ELT and ETL methodologies, ensuring versatility in data handling. This adaptability makes SAS Studio a valuable tool for data professionals aiming to streamline their analytics processes.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Google Cloud BigQuery Yes 
Google Cloud Storage Yes 
Python Yes 
Amazon EMR No 
Amazon S3 No 
Apache Hive No 
Azure Data Lake No 
Azure Synapse Analytics No 
Cloudera Data Platform No 
Control-M Yes 
Databricks No 
Google Cloud Datastore Yes 
Google Cloud Managed Service for Apache Spark Yes 
Google Cloud Platform Yes 
Google Cloud Pub/Sub Yes 
MongoDB No 
MongoDB Atlas No 
Oracle Database No 
Pantomath Yes 
Snowflake No 

Integrations

Google Cloud BigQuery Yes 
Google Cloud Storage Yes 
Python Yes 
Amazon EMR Yes 
Amazon S3 Yes 
Apache Hive Yes 
Azure Data Lake Yes 
Azure Synapse Analytics Yes 
Cloudera Data Platform Yes 
Control-M No 
Databricks Yes 
Google Cloud Datastore No 
Google Cloud Managed Service for Apache Spark No 
Google Cloud Platform No 
Google Cloud Pub/Sub No 
MongoDB Yes 
MongoDB Atlas Yes 
Oracle Database Yes 
Pantomath No 
Snowflake Yes 

Pricing Details

$0.074 per vCPU hour
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/products/managed-service-for-apache-airflow

Vendor Details

Company Name

SAS

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/studio.html

Product Features

Product Features

Alternatives

Alternatives

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Amazon MWAA

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Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation