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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Concentrate on producing insightful and impactful reports and analytics rather than getting bogged down in the complexities of data warehouse code. Avoid allowing your data warehouse to turn into a chaotic mix of numerous difficult-to-manage pipelines, notebooks, stored procedures, tables, and views. Dimodelo DW Studio significantly minimizes the workload associated with designing, constructing, deploying, and operating a data warehouse. It enables the design and deployment of a data warehouse optimized for Azure Synapse Analytics. By creating a best practice architecture that incorporates Azure Data Lake, Polybase, and Azure Synapse Analytics, Dimodelo Data Warehouse Studio ensures the delivery of a high-performance and contemporary data warehouse in the cloud. Moreover, with its use of parallel bulk loads and in-memory tables, Dimodelo Data Warehouse Studio offers an efficient solution for modern data warehousing needs, enabling teams to focus on valuable insights rather than maintenance tasks.

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 

Screenshots View All

Screenshots View All

Integrations

Azure Data Lake Yes 
Azure Synapse Analytics Yes 
Amazon Redshift No 
Amazon S3 No 
Apache Parquet No 
Azure HDInsight No 
Cloud Dataprep No 
Cloudera Data Platform No 
Databricks No 
Google Cloud BigQuery No 
Greenplum No 
IBM Db2 No 
Microsoft Power BI Yes 
MongoDB Atlas No 
Oracle Database No 
Python No 
SingleStore No 
Snowflake No 
Teradata VantageCloud No 

Integrations

Azure Data Lake Yes 
Azure Synapse Analytics Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Parquet Yes 
Azure HDInsight Yes 
Cloud Dataprep Yes 
Cloudera Data Platform Yes 
Databricks Yes 
Google Cloud BigQuery Yes 
Greenplum Yes 
IBM Db2 Yes 
Microsoft Power BI No 
MongoDB Atlas Yes 
Oracle Database Yes 
Python Yes 
SingleStore Yes 
Snowflake Yes 
Teradata VantageCloud Yes 

Pricing Details

$899 per month
Free Trial No 
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 Yes 
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) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Dimodelo

Country

Australia

Website

www.dimodelo.com

Vendor Details

Company Name

SAS

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/studio.html

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Product Features

Alternatives

Alternatives