Reduce costs and complexity by processing data where it already lives.
Right-Place, Right-Time Compute
Run your data pipelines where you generate the data - cross-cloud, on-prem, on the edge.
Cost Savings
Seamless across hybrid and multi-cloud, delivering performance at lower cost.
Open Architecture, Built for AI
Works with your existing tools and improves them, rather than replacing them.
We’re partners of the leading technology programs, enhancing our ability to deliver premier solutions across the industry’s leading platforms.
Whether you're processing satellite imagery, IoT logs, trading models, or healthcare data, Expanso ensures your compute runs where it makes the most sense: next to the data. That means less overhead, smaller bills, and faster results.
Nodes Run Data Jobs Next To Your Data.
Distributed nodes process and store data where it lives.
Self-Healing Network.
Even with challenging network connections, Expanso ensures your data pipelines stay running.
Minimal Permissions Needed.
Easy deployment with minimal engineering overhead.
Built-in traceability and checkpoints.
Seamless deployment with minimal resources required.
Tailored for Complex Data Challenges.
Infrastructure at Scale, Cross-Border AnalyticsCost-Sensitive Data Observability.
Whether you're using Splunk, Databricks, Cribl, Edge Delta, Mezmo, or Chronosphere, Expanso integrates effortlessly to deliver enriched, context-rich data exactly where you need it.
181 zettabytes - that’s the projected amount of data that will be created, captured, copied, and consumed globally by 2025, nearly triple the volume from 2020.
Gartner predicts that by 2025, 75% of enterprise-generated data will be created and processed outside traditional centralized data centers or the cloud. The volume of data generated by humans and machines is skyrocketing. Businesses will need to adopt a mix of technologies like 5G, edge computing, and machine learning to effectively manage this data in the future. Expanso makes it very easy to do that.
of IT decision-makers fear their IT infrastructure won’t be able to handle future data demands.
of IT decision-makers are very or somewhat hesitant to implement GenAI. The main drivers behind that hesitation are security concerns, complexity, and data governance.
of US executives and 39% of European executives pointed to budget constraints as the top obstacle in turning Big Data into a profitable asset.
Let us show you how Expanso helps teams cut over 30% of their data pipeline costs - and get to insights faster.
