CData Software provides data integration solutions that enable real-time access to over 300 data sources, including databases, APIs, and cloud applications, through standardized connectors. This technology allows organizations to streamline data access and eliminate the complexities of integrating disparate data systems, enhancing operational efficiency and data-driven decision-making.
Funding
$350M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle to integrate data from disparate sources, including databases, SaaS applications, APIs, NoSQL systems, and Big Data platforms. This complexity hinders operational efficiency and delays data-driven decision-making. Building and maintaining custom APIs for each data source is time-consuming and resource-intensive.
Solution
CData Software provides a comprehensive data connectivity platform that simplifies access to over 300 data sources through standardized connectors. The platform offers real-time data access and data movement capabilities, enabling seamless integration across various enterprise applications and infrastructure. CData's solutions include live data access through CData Connect and CData Virtuality, data movement via CData Sync and CData Arc, and embedded connectivity options. By offering pre-built connectors and client-specific connectivity solutions, CData eliminates the complexities of integrating disparate data systems, empowering users to unlock the power of their data with intuitive, no-code solutions.
Target Audience
CData's primary customers include data engineers, BI and analytics leaders, operations and IT professionals, and product leaders who need to access, integrate, and manage data from diverse sources. The platform also caters to software vendors looking to embed data connectivity into their products.
Features
- Standards-based connectors for ODBC, JDBC, ADO.NET, and Python
- Support for a wide range of data sources, including Big Data, NoSQL, ERP, CRM, accounting, marketing, and e-commerce platforms
- Real-time data access for instant insights and up-to-date reporting
- ETL/ELT capabilities for building data pipelines and replicating data to warehouses
- Data virtualization for creating an enterprise semantic layer
- Embedded connectivity options for software vendors to provide data access to their users
- High-performance read and write operations with dynamic metadata, caching, and query optimization
- No-code connectivity solutions for self-service integration across the organization