Control data at the source. Accelerate team velocity. Transform your platforms from infrastructure burden to competitive advantage.
Leading enterprises face the same obstacles
Raw, unfiltered data floods Snowflake, Splunk, and Datadog - slowing teams and complicating governance.
Data teams maintain brittle pipelines instead of delivering business value.
Sensitive data reaches platforms before policies apply, creating audit risk.
Engineers firefight fragile scripts across hundreds of sources instead of innovating.
Upstream control that enhances your entire data ecosystem
Filter, transform, and govern before data moves
From months to weeks for pipeline deployment
Make existing investments work better
Not just another data tool - a fundamental architectural shift
Comprehensive data control for logs, metrics, events, IoT telemetry, and application data - not just another observability or routing tool.
10,000+ nodes per cluster, enterprise security standards, 99.9% uptime SLA. Enterprise capabilities standard, not premium.
Native integrations with Snowflake, Databricks, Splunk, Datadog, and 100+ systems. Deploy alongside existing infrastructure without disruption.
Declarative pipelines eliminate brittle custom code. Need custom logic? Enterprise customers get rapid processor development.
Your data stays in your infrastructure. Process at the edge, send only policy-compliant data downstream. Zero vendor lock-in.
Automatic retries, intelligent backpressure, clear observability, and support that actually helps. Engineers love it.
How leading enterprises use Expanso
Multi-hospital system needed to analyze patient data across locations while maintaining HIPAA compliance and improving research velocity.
Expanso filters and redacts PHI at the edge, enforces data residency policies automatically, and accelerates research workflows significantly.
Global manufacturer processing petabytes monthly from thousands of factory locations. Data delays impacted production decisions and team velocity was constrained by pipeline maintenance.
Expanso processes telemetry at factory edge, filters significant noise, and sends only actionable data to analytics platforms.
Bank needed real-time fraud detection across distributed branches without centralizing sensitive transaction data or compromising response times.
Expanso runs ML models at branch edge, detects anomalies locally, and sends only alerts upstream - maintaining data sovereignty and enabling sub-second response.
SaaS company's observability complexity grew substantially as they scaled, slowing SRE teams and complicating troubleshooting.
Expanso filters verbose logs at application edge, intelligently samples traces, and enriches metrics before ingestion.
Organizations that demand excellence choose Expanso
Choose your path
Try Expanso with up to 5 nodes. See upstream control in action on your own infrastructure.
Start Free TrialSchedule a consultation to discuss your specific requirements, architecture, and value potential.
Book a CallWatch a 15-minute demo showing real-world upstream data control, team acceleration, and platform enhancement.
Watch DemoExpanso handles all data types - logs, metrics, events, IoT, applications. Cribl focuses on log routing, Edge Delta on observability. We provide policy-driven pipelines for your entire data ecosystem with built-in compliance and governance.
No - we sit upstream, filtering and optimizing before data reaches Snowflake, Databricks, Splunk, or Datadog. Keep your tools, get cleaner data.
Deploy a pilot in 1-2 weeks, validate improvements in 30-60 days. Scale to thousands of nodes over 3-6 months.
Your data stays in your infrastructure. Process at the edge, enforce policies at the source. Built to meet enterprise security and compliance requirements. Supports fully air-gapped deployments.
Yes. 10,000+ nodes per cluster, tested to 100,000+ nodes. Petabytes monthly across thousands of locations. Linear scaling, no performance degradation.
Join leading enterprises controlling data upstream