3X Code Conversion3X Data Engineering
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SAS StudioSAS
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Related Products
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About
3X Code Conversion is an AI-augmented data engineering accelerator that converts legacy SQL and ETL code into modern cloud platform code. The tool supports migrations from Teradata, Oracle, Netezza, SQL Server, MySQL, PostgreSQL, and Redshift to Snowflake, Databricks, BigQuery, Microsoft Fabric, Synapse, and other modern data platforms. It can ingest SQL scripts, stored procedures, ETL jobs, BTEQ macros, FastLoad jobs, SSIS pipelines, and undocumented legacy codebases. 3X Code Conversion uses deep code understanding, complexity scoring, agentic conversion, automated refactoring, testing, validation, and developer action items. The platform generates converted code, validation reports, standardized formatting, migration summaries, documentation, and AI-assisted code reviews. Built for enterprise cloud migrations, 3X Code Conversion helps data teams move legacy code to modern platforms in hours instead of months.
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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
Supported
Mac
Supported
Linux
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 Engineers, Software Developers, DevOps Engineers, Solution Architects, Cloud Migration Engineers, Enterprise IT Teams, Technical Consultants
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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
Not Supported
24/7 Live Support
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 VideosNo images available
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not 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
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 Information3X Data Engineering
Founded: 2023
United State
www.3xdataengineering.com
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Company InformationSAS
Founded: 1976
United States
www.sas.com/en_us/software/studio.html
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Categories |
Categories |
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Integrations
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
Databricks
Not Supported
Google Cloud BigQuery
Not Supported
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Integrations
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
Databricks
Supported
Google Cloud BigQuery
Supported
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