DataformGoogle
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SAS StudioSAS
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Related Products
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About
Dataform enables data analysts and data engineers to develop and operationalize scalable data transformation pipelines in BigQuery using only SQL from a single, unified environment. Its open source core language lets teams define table schemas, configure dependencies, add column descriptions, and set up data quality assertions within a shared code repository while applying software development best practices, version control, environments, testing, and documentation. A fully managed, serverless orchestration layer automatically handles workflow dependencies, tracks lineage, and executes SQL pipelines on demand or via schedules in Cloud Composer, Workflows, BigQuery Studio, or third-party services. In the browser-based development interface, users get real-time error feedback, visualize dependency graphs, connect to GitHub or GitLab for commits and code reviews, and launch production-grade pipelines in minutes without leaving BigQuery Studio.
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About
SAS Studio provides a web browser-based programming environment, so writing and interacting with SAS code is easier and faster, wherever you are. It helps teams build efficient data pipelines with a data engineering experience designed for seamless collaboration, low-code work, and open source integration. SAS Studio connects to leading cloud data platforms such as AWS Redshift and S3, Google BigQuery and Cloud Storage, and Azure Data Lake Storage, as well as relational and nonrelational databases, including Oracle, Snowflake, Teradata, SingleStore, MongoDB, and other sources. It also works with file formats such as Excel, text, Parquet, and ORC. Users can choose no code, low code, or code by creating end-to-end data pipelines with drag-and-drop steps, developing Python and SAS code assets in SAS Studio or another IDE, and embedding them into SAS Studio flows for secure, centralized access to data sources and governed execution. SAS Studio supports ELT and ETL approaches.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data analysts and engineers requiring a solution to build, test, document, and orchestrate production-ready BigQuery data pipelines
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Audience
Data engineering teams that need a governed, browser-based environment to build, collaborate on, and orchestrate SAS, Python, ETL, and ELT data pipelines
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/dataform
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Company InformationSAS
Founded: 1976
United States
www.sas.com/en_us/software/studio.html
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Google Cloud BigQuery
Supported
Amazon Redshift
Not Supported
Amazon S3
Not Supported
Apache Hive
Not Supported
Apache Parquet
Not Supported
Azure Data Lake
Not Supported
Azure Synapse Analytics
Not Supported
Cloud Dataprep
Not Supported
Cloudera Data Platform
Not Supported
GitHub
Supported
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Integrations
Google Cloud BigQuery
Supported
Amazon Redshift
Supported
Amazon S3
Supported
Apache Hive
Supported
Apache Parquet
Supported
Azure Data Lake
Supported
Azure Synapse Analytics
Supported
Cloud Dataprep
Supported
Cloudera Data Platform
Supported
GitHub
Not Supported
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