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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Your enterprise relies on immediate data from its backend infrastructures to provide actionable insights and foster growth. The CData Power BI Connectors serve as an essential component in optimizing your data value chain. These connectors present the quickest and simplest approach to linking Power BI with over 250 enterprise data sources, allowing you to harness the full potential of Power BI for comprehensive data analysis. With ease, you can connect Microsoft Power BI to live data from accounting, CRM, ERP, marketing automation, as well as both on-premise and cloud-based systems for real-time visual analytics and reporting. Numerous popular data sources are supported by Power BI connectors, such as: - Microsoft Dynamics CRM - MongoDB - NetSuite - QuickBooks - Sage Intacct - Salesforce - SAP - SharePoint - Snowflake - And over 200 additional sources! Furthermore, the CData Connectors enhance query speed and performance with advanced features like DirectQuery and QueryPushdown, ensuring that your data analysis is both efficient and effective. These capabilities empower businesses to make more informed decisions based on the latest available information.

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

MongoDB Yes 
Snowflake Yes 
Amazon EMR No 
Cloud Dataprep No 
Cloudera Data Platform No 
Databricks No 
Greenplum No 
Microsoft Dynamics 365 Yes 
MongoDB Atlas No 
Oracle Database No 
QuickBooks Online Yes 
QuickBooks Online Advanced Yes 
SAP CRM Yes 
SAP ERP Yes 
Sage Intacct Yes 
Salesforce Yes 
SingleStore No 
Teradata VantageCloud No 

Integrations

MongoDB Yes 
Snowflake Yes 
Amazon EMR Yes 
Cloud Dataprep Yes 
Cloudera Data Platform Yes 
Databricks Yes 
Greenplum Yes 
Microsoft Dynamics 365 No 
MongoDB Atlas Yes 
Oracle Database Yes 
QuickBooks Online No 
QuickBooks Online Advanced No 
SAP CRM No 
SAP ERP No 
Sage Intacct No 
Salesforce No 
SingleStore Yes 
Teradata VantageCloud Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

CData Software

Country

United States

Website

cdata.com

Vendor Details

Company Name

SAS

Founded

1976

Country

United States

Website

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

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

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