What is Expanso and how does it work?

Expanso is a managed platform for deploying intelligent data pipelines at the edge. It processes data where it's generated - reducing bandwidth, latency, and costs. You deploy lightweight agents on your infrastructure, build pipelines using our visual builder or YAML, and control everything from a central SaaS platform.

Can I run AI/ML models directly in my data pipelines?

Yes! Expanso supports running ONNX, TensorFlow Lite, and other models as native pipeline steps. Execute low-latency inference on streaming data, enrich events with model outputs (like risk scores), and make decisions at the edge without cloud round-trips.

How many pre-built components are available?

Expanso provides 200+ pre-built components including inputs (Kafka, HTTP, files), processors (transformations, filtering, PII masking, aggregations), and outputs (S3, Snowflake, Datadog, Splunk). Browse the complete catalog in our Component Reference.

Do I need to write code to build pipelines?

No - use our drag-and-drop visual pipeline builder to create sophisticated pipelines without code. For advanced use cases, you can also write pipelines in YAML or use the Bloblang transformation language for complex data mappings.

How does Expanso help with data governance and compliance?

Expanso includes built-in governance features: automatic PII detection and masking, policy enforcement at the edge, RBAC, SSO integration, and comprehensive audit trails. Mask sensitive data before it ever leaves your network.

What is Expanso?

Expanso Edge is a managed platform for deploying and orchestrating data pipelines at the edge.

The Problem

Traditional data processing sends all data to the cloud:

High bandwidth costs - Transmitting raw data
High latency - Round-trip to cloud and back
Privacy concerns - Sensitive data leaves premises
Network dependency - Stops working offline

The Expanso Solution

Process data where it's generated, at the edge:

Reduce bandwidth - Filter and aggregate before sending
Lower latency - Process locally, results instantly
Keep data local - Sensitive data stays on-premises
Work offline - Continue processing during outages

Key Capabilities

Edge-Native Processing

Data pipelines run on edge nodes, close to data sources. Only filtered/aggregated results go to the cloud.

Managed SaaS

No infrastructure to maintain
Centralized control plane in the cloud
Deploy pipelines from web UI
Monitor fleet health and metrics

Visual Pipeline Builder

Build data pipelines without code:

Drag-and-drop components
Live preview
Save and deploy instantly

200+ Built-in Components

Connect to anything:

Message queues (Kafka, NATS, RabbitMQ)
Databases (PostgreSQL, MongoDB, MySQL)
Object storage (S3, GCS, Azure Blob)
APIs and webhooks
Files and streams

How It Works

Deploy edge nodes to your infrastructure
Build pipelines in Expanso Cloud
Deploy pipelines to nodes
Monitor from centralized dashboard

All processing happens at the edge. Only metrics and (optionally) processed data go to the cloud.

Common Use Cases

Log Processing: Filter and route logs at the source
IoT Data: Aggregate sensor data before cloud transmission
Edge Analytics: Compute metrics locally, send summaries
Data Transformation: Parse, enrich, and format at the edge
Compliance: Redact PII before data leaves premises

What's Next?

👉 Core Concepts - Understand how the system works

👉 Cloud Quickstart - Get hands-on in 10 minutes

👉 Introduction - Back to Getting Started

The Problem​

The Expanso Solution​

Key Capabilities​

Edge-Native Processing​

Managed SaaS​

Visual Pipeline Builder​

200+ Built-in Components​

How It Works​

Common Use Cases​

What's Next?​