Solutions by Partner — Petrabytes
Solutions / By Partner

PIEScale runs
where your data lives.

PIEScale is cloud-agnostic and partner-neutral — it deploys natively on AWS, Azure, and Google Cloud, runs alongside your Databricks lakehouse and Snowflake environment without migration, and connects directly to Qumulo storage. No forced moves. No duplication.

Technology Partners

Six partners. One platform that works with all of them.

PIEScale doesn't replace your cloud or lakehouse — it sits on top, adding the scientific data governance and agentic orchestration layer your existing infrastructure is missing.

Amazon Web Services

PIEScale deploys natively on AWS — S3 for PIELake storage, SageMaker for model integration, and Bedrock for domain agent orchestration. All PIEScale components run within your existing AWS environment, connecting to your data where it already lives.

S3 / PIELake storageSageMaker integrationAmazon BedrockAWS IAM & securityVPC deployment
Deployed natively on AWS, connected to your existing data and AI services.

Microsoft Azure

PIEScale deploys on Azure with ADLS Gen2 as the PIELake storage layer, Azure AD for identity and access management, and Azure OpenAI Service for domain agent LLM integration. Works alongside existing Azure Data Factory pipelines without replacing them.

ADLS Gen2 / PIELakeAzure AD / Entra IDAzure OpenAIAKS deploymentAzure Data Factory
Deployed natively on Azure, connected to your existing data and AI services.

Databricks

PIEScale runs alongside your Databricks lakehouse — no migration, no duplication. PIELake uses the same Delta Lake and Iceberg table formats, so governed energy data is queryable from Databricks notebooks and pipelines directly. PIEScale adds the scientific data layer your lakehouse was missing.

Delta Lake / IcebergUnity Catalog compatibleNo data migrationShared table formatsNotebook access
Runs alongside your lakehouse — no migration, no duplication.

Qumulo

PIEScale connects directly to Qumulo storage — validated in a live pilot integration. For organizations with large on-premises or hybrid scientific data archives on Qumulo, PIEScale provides the governance, search, and AI-enablement layer on top without requiring data to move to the cloud first.

Direct connectorOn-prem / hybridLive pilot validatedNo forced cloud migration
Connects directly to Qumulo storage, validated in a live pilot integration.

Google Cloud

PIEScale deploys natively on Google Cloud — GCS for PIELake storage, Vertex AI for model integration, and BigQuery compatible through open table formats. Full deployment within your existing GCP environment, connecting to your data where it already lives.

GCS / PIELake storageVertex AI integrationBigQuery compatibleGCP IAM & securityGKE deployment
Deployed natively on Google Cloud, connected to your existing data and AI services.

Snowflake

PIEScale connects to your existing Snowflake environment — PIELake exposes governed subsurface and operational data through open table formats that Snowflake can query directly. The scientific data governance layer your Snowflake environment is missing, without replacing what's already working.

Open table format accessNo data duplicationGoverned data accessScientific data layerMCP server connection
Connects governed scientific data to your Snowflake environment without replacing it.
Where to Go Next

Same platform. Works with what you have.

See the platform

Five components, any cloud, any AI — PIEScale is the governed data foundation that sits on top of your existing infrastructure.

Explore PIEScale

Get it deployed

FDE and Managed Services both include infrastructure setup on your preferred cloud and partner stack — no separate integration project.

See Engagement Models
Start With Your Stack

Tell us your infrastructure.
We'll show you the fit.

A 30-minute discovery call grounded in your actual cloud, storage, and data environment — not a generic product demo.