Case Study
How Sella Delivers Scalable Credit Risk Explanations with Prometheux
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Capabilities / Data Infrastructure & Modernization

Your Cloud.
Your Call.

Run Prometheux as SaaS, in your own VPC, on your own servers, or natively on Databricks and Snowflake. The same rules return the same results on every option, so you can move later without rewriting.

Proven in production

Why lock-in creeps in

Rent the Compute.
Own the Logic.

Platforms lock you in through the logic you write on them. Keep that logic portable and the infrastructure becomes a choice you can revisit.

Platform-connected stack
Portable with Prometheux
Logic written in one vendor's dialect and tools
Logic lives in portable rules that run on any deployment
Compute must sit next to one vendor's storage
Decouple compute from data: run in one cloud, read from another
Managed convenience or full control: pick one
SaaS, your VPC or on-premises, with the same platform and rules
New platform means new procurement and setup
Deploy natively on Databricks or with Snowflake using compute you already have
Switching costs decide your roadmap
Move compute when cost, credits or compliance change
Deployment options

Deploy It
Where You Need It

Prometheux is deployable in cloud or on-premises environments, with native integrations for Databricks and Snowflake. The same rules and definitions run on every option.

SaaS or Private Cloud

Start fast on managed SaaS, or deploy into your own VPC on EKS, GKE or AKS for control over networking and storage.

On-Premises

Install on your own Linux servers with Docker Compose from the public install guide, planned with our engineers.

Native on Databricks

Run as a native app in your workspace, or install the engine directly on your Databricks clusters.

With Snowflake

Native integration with Snowflake, so rule-based processing runs alongside your Snowflake data.

What this means for you ⟶

Talk to an engineer

Pass security review with a deployment that fits your policy. Use the cloud credits and compute you already pay for. Keep the option to move as your strategy changes.

Compute, decoupled

Compute Here.
Data There.

Because Prometheux connects to data in place, where the engine runs and where data lives are separate decisions. Choose compute on cost, credits, performance or compliance, without changing your architecture.

Cross-Cloud Execution

Run compute in one cloud while your data sits in another, and use credits wherever you hold them.

Your Cluster Manager

Self-managed Kubernetes, for full control.

Local for Development

Local mode runs driver and executor in a single JVM, for building and testing on a workstation.

Same Logic Everywhere

Rules and definitions don't change between deployments, so moving compute never means rewriting.

What this means for you ⟶

Read the No Lock-In story

Let cost and compliance decide where work runs. Never rewrite logic because infrastructure moved.

How it works

From Choice to
Running Engine

01

Pick a Deployment

SaaS, private cloud, on-premises, or native on Databricks or Snowflake.

02

Choose Compute

Use your Databricks clusters, your own Kubernetes cluster, or local mode.

03

Connect Data in Place

Connect sources wherever they live, in any cloud or on-prem.

04

Move When You Want

Redeploy compute elsewhere later; your business logic comes with you.

Where it fits

Deployments That
Match the Business

Regulated

Behind the Firewall

Banks and insurers keep processing on-premises or in a private VPC, close to governed data.

Lakehouse

Inside Databricks

Run Prometheux in your workspace on your own clusters, governed by Unity Catalog.

Prometheux on Databricks →
Multi-cloud

Spend Credits Anywhere

Use compute credits in one cloud against data in another, without copying it across.

No Lock-In case study →
Warehouse

Alongside Snowflake

Bring rule-based processing to your Snowflake data through the native integration.

FAQ

Questions,
Answered

Where can Prometheux be deployed?

As managed SaaS, in your private cloud or VPC (EKS, GKE or AKS), on your own Linux servers with Docker Compose, and natively with Databricks and Snowflake. The same rules run on each option.

What compute options are available?

Databricks (as a native app in your workspace or installed on your clusters), self-managed Kubernetes clusters, and local mode for development and testing.

Can compute run in a different cloud from my data?

Yes. Prometheux connects to data where it lives, so you can run compute in one cloud while data stays in another.

How does this avoid lock-in?

Your logic lives in readable rules, not in a vendor's dialect. The same rules run on every deployment, so you can move compute without rewriting.

What if we stop using Prometheux?

Your data never left your systems. Ontologies can be exported through the API, and rules are readable text you can keep in your own version control.

Deploy on
Your Terms

Tell us your cloud, compliance and compute constraints. We'll map the deployment that fits.

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