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What is CData Python Connectors?

CData Python Connectors simplify the process for Python developers to link up with various data sources, including SaaS, Big Data, NoSQL, and relational databases. These connectors offer straightforward database interfaces compliant with DB-API, enabling seamless integration with popular platforms like Jupyter Notebook and SQLAlchemy. By encapsulating SQL within APIs and data protocols, CData Python Connectors facilitate effortless data access for Python applications. They empower users to connect to over 150 data sources from the realms of SaaS and Big Data while benefiting from robust Python processing capabilities. Serving as an essential tool for Python developers, the CData Python Connectors ensure consistent connectivity and provide user-friendly interfaces for a vast array of data sources, including those in the SaaS/Cloud and NoSQL domains. With these connectors, accessing and manipulating diverse datasets has never been easier. You can explore further or download a 30-day free trial at: https://www.cdata.com/python/.

What is CData Power BI Connectors?

Your organization depends on swift access to data from its backend systems to generate actionable insights that drive growth. The CData Power BI Connectors play a vital role in enhancing the value chain of your data. These connectors offer the most efficient and user-friendly way to integrate Power BI with more than 250 enterprise data sources, enabling you to fully leverage Power BI for in-depth data analysis. Effortlessly, you can link Microsoft Power BI to live data from various sources, including accounting, CRM, ERP, marketing automation, and both on-premise and cloud-hosted systems, facilitating real-time visual analytics and reporting. Notable data sources compatible with Power BI connectors include: - Microsoft Dynamics CRM - MongoDB - NetSuite - QuickBooks - Sage Intacct - Salesforce - SAP - SharePoint - Snowflake - And over 200 other sources! Additionally, the CData Connectors improve query speed and overall performance with advanced functionalities such as DirectQuery and QueryPushdown, ensuring your data analysis process is both swift and effective. By utilizing these capabilities, businesses are better equipped to make well-informed decisions based on the most current data available. This integration not only streamlines workflows but also enhances collaborative efforts by providing teams with shared access to critical insights.

Media

Media

Integrations Supported

Acumatica Cloud ERP
Apache Cassandra
Athena
Basecamp
Box
DataRobot
Elasticsearch
Microsoft Dynamics 365
Microsoft SharePoint
MongoDB
NetSuite
QuickBooks Online
SAP CRM
SAP ERP
Sage Intacct
Salesforce
Snowflake
Xero

Integrations Supported

Acumatica Cloud ERP
Apache Cassandra
Athena
Basecamp
Box
DataRobot
Elasticsearch
Microsoft Dynamics 365
Microsoft SharePoint
MongoDB
NetSuite
QuickBooks Online
SAP CRM
SAP ERP
Sage Intacct
Salesforce
Snowflake
Xero

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

CData Software

Company Location

United States

Company Website

cdata.com

Company Facts

Organization Name

CData Software

Company Location

United States

Company Website

cdata.com

Categories and Features

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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