DATABASICS provides a unified time & expense platform designed for organizations with complex compliance and operational requirements. Serving industries such as government contracting, healthcare, construction, and professional services, the platform replaces manual, error-prone workflows with automation and real-time visibility. Because DATABASICS customers rely on time and expense data flowing seamlessly into accounting and backend systems, integrations are a critical part of the platform. With most ERP systems offering only basic time and expense functionality, DATABASICS extends these environments with a more complete and robust solution.
As customer environments grew more complex, DATABASICS required a more efficient and scalable approach to connecting systems, one that could reduce costs while positioning the company to expand its AI capabilities.
The challenge: Fragmented systems and costly, manual integrations
DATABASICS customers rely on a wide range of systems to manage financials, payroll, and operations. To provide customers with a unified view of their data within the platform, DATABASICS needed to integrate across these diverse environments.
To support these integrations, DATABASICS initially relied on custom-built integrations for each connection, developing and maintaining them on a case-by-case basis. However, because each customer environment included different ERPs, payroll platforms, and financial systems with unique APIs and data structures, integrations were difficult to standardize and scale, increasing costs and placing continuous demands on engineering resources.
“Managing fragmented systems and constantly evolving APIs slowed our implementation timelines, delaying rollouts while also increasing ongoing maintenance and support efforts.”
— Marcel Syriani, CTO/COO, DATABASICS
The solution: A unified integration framework across complex customer environments
Before selecting CData, DATABASICS evaluated several integration platforms, including TIBCO Cloud, and Talend. While these solutions provided connectivity, they did not fully address the need for a scalable, standardized approach that could support diverse customer environments without adding complexity.
By embedding CData connectors, the team built a middleware layer that unifies access to critical systems, including ERP platforms like Microsoft Dynamics 365, payroll systems, banking data, and more. This gives DATABASICS the ability to connect customer systems through a unified, repeatable framework rather than building one-off integrations.
It was able to roll out an extensive, fully functional library of connectors in approximately one month.
“With CData, we’ve effectively removed integration limits and can support virtually any system our customers need. This flexibility also strengthens DATABASICS’ ability to scale AI capabilities, ensuring models and automation are built on unified, reliable data across systems.”
— Marcel Syriani, CTO/COO, DATABASICS
The outcome: Greater efficiency, lower costs, and a stronger foundation for AI
With CData, DATABASICS reduced the complexity and cost of integration development while improving efficiency. Instead of maintaining multiple bespoke connections, the team now relies on a scalable connectivity layer that adapts to diverse customer environments.
Engineering teams spend less time building and maintaining integrations, reducing operational overhead and freeing resources for more value-added product development. Integration timelines improved, and data exchange performance enhanced overall reliability.
At the same time, DATABASICS established a more centralized and consistent data foundation. With unified, high-quality data, it can offer customers more accurate automation, stronger compliance, and real-time insights.
This foundation also supports the company’s expanding AI capabilities, ensuring automation and insights are driven by connected, reliable data across systems.
“By standardizing our integrations with CData, we’ve reduced delivery timelines from months to weeks while lowering the effort and cost of maintaining connections at scale.”
— Marcel Syriani, CTO/COO, DATABASICS
With the connectivity foundation in place, DATABASICS can now support a wide range of customer ERPs, CRMs, and other systems through a more consistent and scalable integration approach.
This also positions the company to continue expanding its platform, including its growing focus on AI-driven automation and insights built on connected, reliable data.
Learn how CData can help you standardize connectivity and scale your data-driven applications.
