The Data Logistics Company

Decouple your data intent from the underlying technology stack. A governed, model-driven logistics layer that connects any producer to any consumer, on any cloud.

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🗄️
Database
📡
API Stream
📁
File Source
⚡ DataSurface
📊
Analytics
🤖
AI/ML
📈
Reporting
Data Producers Data Consumers
P + C + T
Complexity Model
Git-Backed
Full Audit Trail
Multi-Cloud
AWS · Azure · K8s
10+ Years
Decade-Ware Design

Works With Your Existing Stack

aws AWS
DB/2 IBM DB/2
Snowflake
Databricks
Oracle
PostgreSQL
SQL SQL Server
Kubernetes

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Model Driven & Git Backed

The entire ecosystem—from data schemas to infrastructure provisioning—is defined in a Python DSL stored in Git. Changes are managed via Pull Requests with automated CI/CD validation.

Multi-Platform Agility

Run seamlessly on Kubernetes (Local, EKS, AKS). Abstract away the underlying storage technologies so you can swap vendors and platforms without disrupting consumers.

CQRS Architecture

Ingestion and consumption are decoupled. Ingest once, then replicate to multiple read-optimized Consumer Replica Groups (CRGs) tailored to specific query workloads.

Why DataSurface?

The data landscape is broken. Enterprises are drowning in point-to-point pipelines and vendor lock-in. Here's why that's about to change.

The Walled Gardens Are Back

And This Time It's Your Data

Today's data landscape looks eerily like the 90s internet—dominated by proprietary walled gardens from Big Data Vendors. DataSurface is the "HTTP for Data", an open protocol layer that connects producers and consumers while keeping you in control of your destiny, free from vendor lock-in.

"Just as internet users don't care how packets traverse the network, DataSurface users won't care how data moves from producers to consumers."

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The "Day 2" Trap

Why Your New Data Platform Won't Save You

Many CDOs expect that signing a multi-year deal for Snowflake or Databricks will lead to immediate productivity gains. But the real work—and the real costs—begin after the contract is signed. You can easily spend tens of millions on labor building "pipeline spaghetti" around that expensive platform.

"DataSurface is the logistics layer. The data nervous system for your enterprise that allows platforms to be swapped out or upgraded without breaking the business."

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Core Capabilities

Automated History (SCD2)

Consumers can request full forensic history (SCD Type 2) for any dataset. DataSurface automatically manages the tracking, validity dates, and storage—even if the source is just a snapshot.

Live Data (SCD1)

For operational dashboards, consumers can request a "Live" view (SCD Type 1). The system maintains a low-latency replica with only the current state of every record.

Schema Evolution

Schema changes are detected automatically. The system ensures backward compatibility or gracefully manages breaking changes without bringing down the pipeline.

Governance Zones

Organize data into federated zones with clear ownership. Policies enforced at the zone level ensure compliance across all teams and datasets automatically.

Audit & Control

Full Git-backed audit trails of every change. Granular access control ensures only authorized users can modify specific parts of the model.

Consumer Aligned

Data flow is driven by consumer demand. Producers declare availability; consumers define the terms (SCD type, latency, storage format). The platform handles the logistics.

Built by Engineers Who've Been There

DataSurface was created by veterans of enterprise-scale distributed systems. Decades of experience running production data platforms inform every design decision.

6+ years
Running petabyte-scale platforms
Fortune 500
Enterprise experience (IBM, Major banks)
24/7/365
Production system expertise
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