Universal Data Connector was developed to address the growing need for seamless data integration across various systems and platforms. It emerged as a solution to unify disparate data sources, enabling businesses to streamline data access and improve interoperability. The exact origins, including specific creators or companies involved, are not definitively documented. However, it evolved in response to the increasing complexity of enterprise data environments and the demand for efficient data management solutions.
Universal Data Connector
Universal Data Connector is a technology or tool that facilitates the integration and interaction between various data sources and applications. It enables seamless data exchange by providing standardized interfaces, allowing organizations to connect disparate systems, extract data, and ensure compatibility across different platforms. This capability supports efficient data management, analytics, and reporting by centralizing access to diverse datasets.
Top 5*
Database Technologies

About Universal Data Connector
Strengths of Universal Data Connector include its ability to integrate diverse data sources, enhance data accessibility, and improve interoperability across platforms. Weaknesses may involve complexity in deployment and potential compatibility issues with certain systems. Competitors in the data integration space include Informatica, Talend, and MuleSoft, which offer similar capabilities for connecting and managing enterprise data environments.
Hire Universal Data Connector Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a Universal Data Connector expert
A Universal Data Connector expert must possess skills in data integration, including proficiency with ETL (Extract, Transform, Load) processes. They should be adept in SQL and scripting languages for data manipulation. Knowledge of API development and management is crucial for connecting diverse systems. Familiarity with data modeling and architecture is essential to design efficient integration solutions. Experience with cloud platforms and services can also be beneficial for managing data in hybrid environments.
The best of the best optimized for your budget.
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top global talent with no middlemen or hidden fees.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.