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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.

About

Make use of Reactive Programming on the back-end without the need for specialized languages or cumbersome frameworks. Triggers, Actors and Event Collections make it easy to build data pipelines and work with data streams using simple SQL-like syntax, shielding users from the complexities of distributed system development. Extensible Data Modeling is a key feature that supports rich semantics and schema definition for representing real-world things. On-the-fly validation and data shaping rules support a variey of formats like XML and JSON, allowing you to easily describe and evolve your schema, keeping pace with changing business requirements. If you can describe it, we can query it. Know SQL and Javascript? Then you already know how to use the data engine. Whatever the format, a powerful query language lets you instantly test logic expressions and functions, speeding up development and simplifying deployment for unmatched data agility.

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

Data engineering teams that need a governed, browser-based environment to build, collaborate on, and orchestrate SAS, Python, ETL, and ELT data pipelines

Audience

Companies searching for a data fabric solution

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

No information available.
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

SAS
Founded: 1976
United States
www.sas.com/en_us/software/studio.html

Company Information

StreamScape
Founded: 2011
United States
www.streamscape.com/product/features

Alternatives

Alternatives

Dagster

Dagster

Dagster Labs
Dataform

Dataform

Google

Categories

Categories

Integrations

Amazon EMR
Amazon Redshift
Amazon S3
Apache Parquet
Azure Data Lake
Azure HDInsight
Azure Synapse Analytics
Cloud Dataprep
Cloudera Data Platform
Databricks
Google Cloud Storage
Greenplum
IBM Db2
Microsoft Excel
MongoDB
MongoDB Atlas
Oracle Database
SingleStore
Snowflake
Teradata VantageCloud

Integrations

Amazon EMR
Amazon Redshift
Amazon S3
Apache Parquet
Azure Data Lake
Azure HDInsight
Azure Synapse Analytics
Cloud Dataprep
Cloudera Data Platform
Databricks
Google Cloud Storage
Greenplum
IBM Db2
Microsoft Excel
MongoDB
MongoDB Atlas
Oracle Database
SingleStore
Snowflake
Teradata VantageCloud
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