NJ

Nidhi J.

Customer Support Specialist

Small-Business (50 or fewer emp.)

7/25/2023

"Fully Integrated Power BI connectors"

4.5/5

What do you like best about CData Connectors?

Cdata PowerBI makes it really easy to connect ,intergrate and automate the enterprise data in real time Review collected by and hosted on G2.com.

What do you dislike about CData Connectors?

The prices are bit high and there data errors and values in wrong field.Some it takes time to get support Review collected by and hosted on G2.com.

KS

Karan S.

Mid-Market (51-1000 emp.)

7/26/2023

"CData Power BI Connector"

4.5/5

What do you like best about CData Connectors?

This makes my data processing easy and updated Review collected by and hosted on G2.com.

What do you dislike about CData Connectors?

Few times when i made changes in my reports and dashboard then the conection was disconnected. other than this everything is fine Review collected by and hosted on G2.com.

SS

Sudhakar N S.

Software Engineer

Enterprise (> 1000 emp.)

10/31/2021

"Object Relational Mappers Automation with CData Python Connectors"

4/5

What do you like best about CData Connectors?

CData Python Connectors has a wide variety of code library functions that helps in the automation of data transfer present in relational databases. It allows me to write my application code in Python instead of SOL to create, read, update and delete data & schema present in the corresponding database. The main advantage of using CData Python Connectors that I find in my organization is I can comfortably work with Python. This offers various capabilities such as dynamic execution, vast libraries support, portability in multiple platforms, and has

enormous third-party module inclusions. Review collected by and hosted on G2.com.

What do you dislike about CData Connectors?

Since CData Python Connectors have a python-based API, it's easy to pick up the application code flow. Even people who are freshly starting with object mapping can quickly restructure it based on the requirements. I find no difficulty in quality and ease of use. So none to dislike about it. Review collected by and hosted on G2.com.

Recommendations to others considering CData Connectors:

I would recommend Data Python Connectors for seamless ORM Automation & DB-API procurements in on-premise relational databases. Apart from this, it can also be used for data visualization, data transformation, and custom business data-driven applications thanks to its powerful in-built SOL engine, which manages all code interpretations. Review collected by and hosted on G2.com.

What problems is CData Connectors solving and how is that benefiting you?

CData Python Connectors inhibits a built-in SQL engine that is chiefly responsible for all the data movement automation and processing from on-premise databases. It's accurate and efficient as it interprets the code that I write in Python and is fantastic for my data-centric architecture. Also, it provides additional data integration solution services that improve reliability, manages data transfer scalability, optimize modular performances, and ensure security compliances for Database API. Review collected by and hosted on G2.com.

SK

Sagar K.

Data Analyst

Small-Business (50 or fewer emp.)

12/27/2021

"Good for embedded data warehousing"

3.5/5

What do you like best about CData Connectors?

How easy it is to generate and API key and use it to connect to multiple databases. Review collected by and hosted on G2.com.

What do you dislike about CData Connectors?

It is a little slow when used with Databricks. Review collected by and hosted on G2.com.

UI

Verified User in Insurance

Mid-Market (51-1000 emp.)

12/21/2021

"CData Driver review"

3.5/5

What do you like best about CData Connectors?

It helps me to connect to Salesforce with real-time data from Microsoft Access database. Review collected by and hosted on G2.com.

What do you dislike about CData Connectors?

There are errors when I tried to run some complex queries Review collected by and hosted on G2.com.