Prismatic brings native large data sync capabilities for customer-facing integrations 

Prismatic, the embedded integration platform for B2B software companies, is adding native large data sync, a set of new capabilities that enables teams to move high volumes of customer data through the same integration platform they already use to build, deploy, monitor, and manage customer-facing integrations.

With large data sync, SaaS companies can deliver more reliable, data-intensive integrations faster while reducing the infrastructure burden on engineering teams, Prismatic said.

As B2B software becomes increasingly connected and AI-powered, integrations are expected to do far more than exchange events between applications. Customers expect historical backfills during onboarding, ongoing bulk refreshes, and complete, up-to-date data to power automation, analytics, and AI experiences.

According to the company, rather than forcing teams into ETL-style workflows or standalone synchronization products, Prismatic extends its embedded integration platform to handle high-volume data movement using the same development model, tooling, and operational infrastructure customers already rely on.

“We’re seeing customer-facing integrations evolve from transactional connections into the data foundation for modern software. Whether it’s onboarding a new customer, powering AI features, or keeping systems continuously synchronized, the expectations keep growing,” said Tanner Burson, CTO at Prismatic. “Large data sync extends the same platform our customers already use to build, deploy, and manage integrations, so they can meet those new demands without adding another layer of infrastructure.”

Prismatic breaks large datasets into bounded units at the start of an execution and automatically queues them for processing. Developers can focus on the business logic for each record or batch, rather than building pagination frameworks, managing continuation tokens, or orchestrating multiple execution flows, the company said.

With Prismatic’s native large data sync, engineering teams can:

• Support data-intensive customer experiences. Handle initial migrations, historical backfills, recurring bulk refreshes, and ongoing high-volume synchronization through the same integration platform.
• Power AI-ready products with complete customer data. Support large-scale data ingestion for AI and retrieval-augmented generation (RAG) use cases without separate synchronization tooling.
• Maintain visibility from start to finish. Monitor progress, track successes and failures, and retry failed batches from a single execution view.
• Reduce engineering overhead. Eliminate much of the pagination logic, continuation-token management, and cross-flow orchestration typically required for large-scale synchronization.
• Build once with the tools your team already uses. Large data sync is available today in Prismatic’s code-native integrations, with low-code and Embedded Workflow Builder support coming soon, all within a single platform and development model.

These new capabilities expand the Prismatic platform, removing another layer of integration complexity, said the vendor.

Prismatic aims to continue expanding the platform capabilities B2B software companies need to turn integrations from an engineering bottleneck into a competitive advantage as customer-facing integrations become more central to product adoption and AI-powered experiences, the company said.

Native large data sync is available to customers as part of the Prismatic platform.

For more information about this news, visit https://prismatic.io.