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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Amazon Managed Workflows for Apache Airflow (MWAA) is a service that simplifies the orchestration of Apache Airflow, allowing users to efficiently establish and manage comprehensive data pipelines in the cloud at scale. Apache Airflow itself is an open-source platform designed for the programmatic creation, scheduling, and oversight of workflows, which are sequences of various processes and tasks. By utilizing Managed Workflows, users can leverage Airflow and Python to design workflows while eliminating the need to handle the complexities of the underlying infrastructure, ensuring scalability, availability, and security. This service adapts its workflow execution capabilities automatically to align with user demands and incorporates AWS security features, facilitating swift and secure data access. Overall, MWAA empowers organizations to focus on their data processes without the burden of infrastructure management.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EMR
Amazon Redshift
Amazon Web Services (AWS)
Apache Airflow
Apache Parquet
Azure HDInsight
Azure Synapse Analytics
Cloudera Data Platform
Databricks
Google Cloud BigQuery
Google Cloud Storage
Greenplum
IBM Db2
Microsoft Excel
MongoDB
MongoDB Atlas
Oracle Database
Python
Snowflake
Teradata VantageCloud

Integrations

Amazon EMR
Amazon Redshift
Amazon Web Services (AWS)
Apache Airflow
Apache Parquet
Azure HDInsight
Azure Synapse Analytics
Cloudera Data Platform
Databricks
Google Cloud BigQuery
Google Cloud Storage
Greenplum
IBM Db2
Microsoft Excel
MongoDB
MongoDB Atlas
Oracle Database
Python
Snowflake
Teradata VantageCloud

Pricing Details

$0.49 per hour
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/managed-workflows-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

Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation

Alternatives