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Description
INTEGRATION: Integrate your systems with a simple point-and-click interface. Access the full target system schemas in order to map and transform data on a regular or ad-hoc basis.
TRANSFORMATION: Powerful mapping of data transformation. Includes querying the target system to enable any transformation possible into the source systems.
MAINTENANCE : Full cron schedule of jobs, including customisable system outages, dependencies between connections, and deployment via email for self-service within business.
PIPELINES - powerful pipeline automation. Define reports, queries, or file matches, conditions complexes, filters, and schedules for pushing data into and out of your business systems.
Connect any source to any target: Salesforce schema, Salesforce Reports, Webhooks (SOQL), Google Drive, FTP (SQL Server), Snowflake, Onedrive Dynamics 365, Google Analytics Exasol AWS S3, Local Files, Eloqua Smartsheet ServiceNow Email & More...
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
Integrations
Amazon S3
Yes
Snowflake
Yes
Apache Hive
No
Apache Parquet
No
Azure Data Lake
No
Azure HDInsight
No
Cloud Dataprep
No
Cloudera Data Platform
No
Eloqua
Yes
Exasol
Yes
Integrations
Amazon S3
Yes
Snowflake
Yes
Apache Hive
Yes
Apache Parquet
Yes
Azure Data Lake
Yes
Azure HDInsight
Yes
Cloud Dataprep
Yes
Cloudera Data Platform
Yes
Eloqua
No
Exasol
No
Pricing Details
$100/month/user
Free Trial
Yes
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
No
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
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
CONVAYR
Founded
2014
Website
www.convayr.com
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/studio.html
Product Features
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No