Account Manager

Prismatic introduces native large data sync. July 23, 2026 Prismatic announced 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. 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. 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. As customer-facing integrations become more central to product adoption and AI-powered experiences, Prismatic continues expanding the platform capabilities B2B software companies need to turn integrations from an engineering bottleneck into a competitive advantage. Native large data sync is available to customers as part of the Prismatic platform. Industry news. July 23, 2026 Azul announced that it will deliver monthly Critical Security Patch Updates (CSPUs) for Java Long-Term Support (LTS) versions for both Azul Core and Azul Prime, starting in August 2026. July 23, 2026 Prismatic announced 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. July 23, 2026 Harness and Kong announced an expansion of their strategic partnership to address the growing security challenges posed by AI-driven architectures, autonomous agents, and Model Context Protocol (MCP) deployments. July 22, 2026 Sauce Labs introduced AURA, its AI-Unified Release Assurance platform, to close that gap. July 22, 2026 Harness announced the Harness AppSec Alliance, a strategic partner ecosystem that brings together application security, API and Agent security capabilities on a single platform. July 22, 2026 Mirantis announced that both k0s, its lightweight single-binary Kubernetes distribution, and k0rdent, its open-source distributed container management platform, have achieved CNCF Certified Kubernetes AI Conformance at Kubernetes v1.35. July 21, 2026 Google introduced Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber to help developers and customers build AI agents in production with higher token efficiency, lower latency, and reliable performance. July 21, 2026 Harness is extending its platform to cover the full AI Agent Development Lifecycle (DLC), giving enterprises a single set of pipelines and controls to build, test, deploy, and run agents the same way they already ship everything else. July 21, 2026 BellSoft announced the general availability of a new hardened builder image for Paketo Buildpacks(TM). July 20, 2026 Testlio unveiled the next evolution of its AI-driven testing platform, LeoCore(TM). July 20, 2026 Agent Island released v1.7.1. July 17, 2026 GitLab(link is external) released GitLab 19.2. As AI generates more code, dependencies, and change than developers can keep up with, GitLab 19.2 brings agentic automation to clear that load. July 16, 2026 Progress Software(link is external) announced that its Progress Chef(link is external) platform now delivers enterprise lifecycle management and configuration capabilities for NVIDIA DGX Spark, enabling IT teams to securely provision, monitor and manage the desktop AI supercomputer at scale. July 16, 2026 Atlassian Corporation announced new capabilities in Jira to advance AI-native software development for every engineering organization. July 16, 2026 Intruder announced the launch of AI Pentesting for web applications, providing on-demand penetration testing.

Prismatic, the embedded integration platform for B2B software companies, has launched native large data sync capabilities. The new feature enables teams to move high volumes of customer data through their existing integration platform without requiring separate synchronisation infrastructure. The capability addresses growing demand for data-intensive integrations as B2B software becomes more connected and AI-powered. Customers increasingly expect historical backfills during onboarding, ongoing bulk refreshes, and complete data to power automation and analytics. Prismatic's system breaks large datasets into bounded units and automatically queues them for processing. This allows developers to focus on business logic rather than building pagination frameworks or managing continuation tokens. The feature extends Prismatic's existing platform for building, deploying, and managing customer-facing integrations, eliminating the need for additional ETL-style workflows or standalone synchronisation products.