Data Estuary
A data logistics platform for interconnected enterprise architectures
Manage the physical movement and availability of your data across cloud, on-premise, and edge locations without the complexity of traditional ESBs or custom API sprawl.
The Challenge
Complex Data Movement
Moving data between systems requires custom integrations, APIs, and middleware that become maintenance burdens.
Heavy ESBs
Enterprise Service Buses create tight coupling, slow development cycles, and often become bottlenecks.
Bandwidth Costs
Sending raw data from edge/on-prem to cloud is expensive when you only need aggregated insights.
Vendor Lock-in
Cloud-only solutions force all your data through their infrastructure, limiting deployment flexibility.
Three Core Concepts
Data Estuary is built around three simple but powerful primitives
Entities
The What
The physical bits and bytes you want to manage. Each entity has a unique ID and type, defining its structure and fields.
Properties:
- • Unique ID + Type combination
- • Typed fields (string, number, date, etc.)
- • Optional state transitions
Pipelines
The How
Step-based workflows that move or transform your entities. Business logic stays in your domain while logistics are handled by the platform.
Capabilities:
- • Sequential step execution
- • Multi-entity operations
- • Runs on any cluster
Clusters
The Where
Physical locations where your data lives and pipelines execute. Deploy in cloud, on-premise, or at the edge—wherever makes sense for your architecture.
Deployment options:
- • AWS built-in clusters
- • Bring Your Own Cluster (BYOC)
- • Hybrid topologies
Hybrid Deployment Model
Your Infrastructure, Your Rules
Data Estuary's Bring Your Own Cluster capability means you can run parts of the system on-premise, at the edge, or in any cloud provider. This isn't just about flexibility, it's about cost savings and control.
Example: Edge Processing
Have your machines output logs to an on-premise cluster. Run a pipeline locally to aggregate and filter data, then send only the insights to cloud clusters. Save bandwidth, reduce latency, keep sensitive data local.
You outsource the logistics complexity, but the business logic and deployment decisions stay firmly in your control.
How It Works in Practice
You define your data structure, business logic, and deployment topology as configuration. Data Estuary handles all the complexity of moving data, maintaining consistency, and coordinating workflows.
1. Define Your Data
Describe what your entities are—Orders, Customers, Inventory items—with their fields and validation rules. No database schemas to manage.
2. Build Your Workflows
Create pipelines that define your business logic: when an order is placed, check inventory, reserve items, create a shipment. Your logic, our logistics.
3. Choose Your Deployment
Use our managed cloud infrastructure, bring your own servers, or mix both. Deploy clusters where they make sense for your business.
Everything is version-controlled and can be updated without downtime.
Interested in Early Access?
Data Estuary is in active development and looking for early adopters. If this approach resonates with your architecture challenges, let's talk.
Get in Touch