VividMetriX is a software company focused on enterprise data integration. We ship products that solve real problems — and consult with businesses that need those problems solved now.
Too many businesses are held hostage by fragile, expensive, and opaque integration systems. Legacy EDI providers charge per-transaction fees. iPaaS platforms lock you into walled gardens. Custom code rots without documentation.
We started VividMetriX because we believed there was a better way — a platform that gives businesses full control, full visibility, and the performance to grow without ceiling.
DataFlow is the result of that conviction. And while the product is being readied for launch, our consulting practice is available today — so you don't have to wait to move your data better.
Data pipelines should be observable, not a black box. Every execution, every byte, every decision should be traceable.
Rust for reliability and performance. Open standards for interoperability. No call-home, no per-transaction pricing, no lock-in.
Mid-market companies that need enterprise-class integration without enterprise-class complexity or cost.
These aren't abstractions. They're the decisions baked into DataFlow's architecture and the way we approach every consulting engagement.
Performance, memory safety, and predictable resource usage. When your business depends on data moving correctly, the runtime matters.
Licenses, credentials, and runtime state should work without internet access. Businesses in restricted networks shouldn't be second-class users.
OpenTelemetry as the single observability API. Avoid coupling to monitoring vendors and let customers bring their own Grafana, Datadog, or nothing at all.
Module configurations defined as JSON Schema enable automatic UI generation, design-time validation, and runtime enforcement — from a single source of truth.
Whether it's Kubernetes on AWS, a bare-metal Linux box, or a Windows server on-prem — the platform behaves identically.
The MCP server isn't an afterthought. Exposing platform operations as AI tools means our customers can automate and query their pipelines with the tools they already use.
Every technology choice in DataFlow was made deliberately. Here's what's under the hood.