Driven by Distributed Computing Experts
Open-source & fully transparent
Engineered for compute-heavy workloads
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Open Source Data Platform of the year 2025

Cut Compute Costs While Improving Performance

At Expanso, we believe you shouldn't have to compromise between performance and budget. Our distributed computing platform empowers data-intensive teams to run large-scale workloads efficiently, without the ballooning costs of traditional centralized computing infrastructure.

Whether you're building AI models, processing genomic data, or analyzing financial systems, Expanso delivers the compute power you need, with smarter resource allocation and transparent, usage-based pricing.

Scale with confidence, speed, and savings.

Fill out the form below and an Expanso team member will reach out.

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Your Journey to Smarter Compute Starts Here

Submit the Form

Tell us a bit about your current setup and needs. It only takes a minute, and opens the door to a better way to compute.

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In the next 24 hours, one of our distributed computing specialists will reach out to understand your challenges, explore use cases, and show you how Expanso can help.

Experience the Difference

Gain access to a high-performance, cost-efficient infrastructure built for scale, and with the transparency and flexibility only open-source can offer.

Why Expanso?

Expanso helps forward-thinking companies unlock the full potential of their compute infrastructure. By simplifying distributed computing and eliminating inefficiencies, we empower data teams to scale faster, move smarter, and meet ambitious business goals, whether you're building the next AI breakthrough or crunching petabytes of genomics data.

What Set Us Apart
  • Built for Scale
    Handle compute-heavy, distributed workloads with confidence.
  • Developer-Centric
    API-first and customizable for your existing infrastructure.
  • Operational Efficiency
    Increase throughput while minimizing compute waste.
  • Trusted & Reliable
    Backed by experts in distributed systems and open-source.
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Data breakthrough award 2025
SXSW 2025 Finalist
TECHCOnnect Innovation Showcase winner
Data breakthrough award 2024
World future awards winner 2024

F.A.Q.

What is the relationship between Bacalhau and Expanso?

Expanso offers a distributed platform designed to address the challenges associated with working on big data in an increasingly distributed world. The team at Expanso built and leverages the open-source project Bacalhau to make big data processing faster, cheaper, and more secure.

Expanso aims to solve several key problems that organizations face when working with big data:

What problem does Expanso solve?

Billing is based on the number of nodes you use. We’ll work with you to estimate your expected usage, and you’ll be billed monthly based on the actual number of nodes deployed. You can scale up or down at any time and only pay for the nodes you use

  • Distributed data: Traditional data systems are centralized, but in today’s world, data is generated across multiple devices and processed in various locations. Expanso ensures that jobs run where the data is created, reducing the need to move raw data, decreasing data transfer costs, and preventing redundant storage.

  • Management oversight: Managing and monitoring distributed jobs can be a headache. Expanso not only ensures these jobs run smoothly but also gives users a clear view of the status of all their tasks.

  • Cost reduction: Expanso cuts down on data movement and bandwidth costs. Further, by tapping into unused computing power, it can reduce the need to create new infrastructure just for data processing, and driving down expenses.

  • Flexible scalability: Data demands can vary. Expanso can dynamically adjust job sizes, offering businesses the flexibility to balance processing time and costs.

  • Regulatory event avoidance: Moving data can require navigating complex regulatory environments, something even big businesses might not see coming. Expanso limits or eliminates data movement altogether and provides detailed audit logs. Additionally, teams can sanitize, filter, or eliminate sensitive data, reducing the likelihood of unintentionally transferring or storing data that can trigger penalties like personally identifiable information (PII).

Who should use Expanso?

Expanso is designed to tackle big data challenges across a spectrum of sectors and applications.

Here are just some of the scenarios where Expanso is valuable:

  • Processing “immobile” data: If you're into data engineering, machine learning, analytics, or scientific computing, where managing petabytes of data is the norm, processing data in place will be required to gain insights quickly and reliably.

  • Dealing with distributed data sources: Expanso is well-suited for topologies where data is created on 10 or more devices, or 100GB+ in aggregate. There are many such scenarios, but some examples include expansive IoT networks or virtual machines spread across zones and regions.

  • For navigating data privacy & security: Many industries have strict regulatory compliance around data movement. Expanso is built to enable processing over that data with full recognition of the requirements of data gravity.

  • Faster information from the edge: With more devices and information coming in from the network fringe, Expanso can help provide real-time analytics and insights on devices, with arbitrary query and execution capabilities.

  • Reducing data transfer and storage costs: Expanso offers multiple ways to reduce data transfer and storage costs. By only moving the data required, organizations can reduce the cost in excessive data transfer and storage.

In essence, Bacalhau is your go-to for handling the complexities of distributed big data. And with Expanso backing it, you get the added perks of validated binaries, detailed security build information, and an SLA for business critical support.

How is Expanso being used?

Expanso users and customers are now able to perform:

  • Improved Log Management: Companies are using Bacalhau to handle ever expanding application logs. Through Expanso, users not only manage this data but also filters out sensitive information, and allows users to glean insights using SQL queries or regex across different services.

  • Machine Learning at the Edge:

    • Training: Bacalhau supports machine learning training directly on remote edge devices, reducing the need for centralization of all data before building a model.

    • Inference: Models are sent to edge devices for accurate real-time predictions. The platform handles both batch and long-running inference tasks, including allowing for data pre-processing, and enabling regular model updates.

  • Distributed Data Warehousing: By acting as an intermediary, Bacalhau can run SQL queries over multiple data sources, essentially crafting a unified virtual data warehouse.

  • Infrastructure Insight: Organizations are tapping into OSQuery through Bacalhau to conduct on-the-spot queries on devices and machines. This capability is further boosted with the ability to execute arbitrary commands on these devices without requiring remote shell access, enabling more and reliable fleet monitoring and management.

  • Tackling Geographically Distributed Data Files: For enterprises with files scattered across different zones, regions, or cloud providers, Bacalhau allows data processing close to geographically distributed buckets. This accelerates traditional ETL processes, leading to quicker insights and improved data management.

  • Resilient in Complex Networking Environments: In topologies such as edge or IoT where network connections are unstable, Bacalhau ensures that jobs are executed without reliable, courtesy of Bacalhau’s decentralized queuing and coordination.

  • Cross-Organizational Machine Learning: In industries where data regulations prevent sharing of data even for just model training, organizations lose out on the ability to group data together for more accurate models. With Bacalhau, teams can collaborate and train models, while providing audit logs and restricted permissions, enabling stringent data oversight, and without the need to exchange raw data.

How is Expanso priced?

Pricing varies per deployment taking into consideration aspects like on-prem vs. cloud, number of clusters, and the preferred hosting model. Please contact us to discuss pricing options.

Is Expanso available today?

Yes, Bacalhau is in general availability and is on a quarterly release schedule. Expanso releases Bacalhau builds weekly, and full version releases once a quarter.

I have some questions. What’s the easiest way to connect?

Reaching out is simple!  Here are some options:

  • Send us a message via our contact form  

  • Join our slack channel.  You can chat with the Bacalhau community or message us directly.

If you prefer a face-to-face approach, hop into our bi-weekly office hour hosted by our Expanso Team. It’s a live Q&A, making it a great opportunity to ask detailed questions about Bacalhau and Expanso and get connected to the right person.

You Deserve a Platform Built for Your Needs

You shouldn’t have to compromise between cost, speed, and control. Expanso is built to meet the demands of your most complex, compute-heavy workloads - so you can move faster, scale smarter, and stay in control.

Request a Demo

Fill out the form below and an Expanso team member will reach out.

Expanso is committed to protecting and respecting your privacy, and we’ll only use your personal information to administer your account and to provide the products and services you requested from us. From time to time, we would like to contact you about our products and services, as well as other content that may be of interest to you. If you consent to us contacting you for this purpose, please tick below to say how you would like us to contact you:

In order to provide you the content requested, we need to store and process your personal data. If you consent to us storing your personal data for this purpose, please tick the checkbox below

You may unsubscribe from these communications at any time. For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.