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Aggregion DataLabs & CleanRoom vs Integral

Aggregion DataLabs & CleanRoom

aggregion.com

Integral

useintegral.com

Side by side

FigureAggregion DataLabs & CleanRoomIntegral
Price from——
Free plan——
Free trial——
Open source——
WebYesYes
APIYes—
Self-hostedYesYes
Plans published11
Spec score · Data Clean Room Software7.4 (#7)7.0 (#16)
DeploymentThe maker offers cloud or on-premise deployment and says customers can choose where to host the DataLab and enclave.Deployment options include managed cloud, VPC or private cloud, on-premises, and air-gapped environments.
Intended usersThe product page describes the solution as trusted by large banks, telecom companies, and retailers.The site presents Integral for AI builders and data collaborators, including model builders, enterprise AI applications, data providers, pharma, data brokers, and analytics teams.

Plans

Aggregion DataLabs & CleanRoom

  • DataLabs & CleanRoomPriced on request

Aggregion DataLabs & CleanRoom pricing →

Integral

  • Custom pricingPriced on request

Integral pricing →

In their own words

Aggregion DataLabs & CleanRoom

Aggregion DataLabs & CleanRoom is an environment for building and running models on data shared by multiple partners. Its workflow spans cataloging, discovering partner datasets, developing models in protected DataLabs, performing CleanRoom calculations, and activating results. Partners connect through a virtual data warehouse, with structured and semi-structured data supported. DataLabs virtual machines depersonalize data and apply distortion models during development. Listed languages include Python, R, PySparc, Scala, and Java. The architecture includes adapters for RDBMS, Hive, and Kafka, plus an advanced integration API. Intel SGX hardware-level encryption is described for enclave memory during shared computations. A decentralized protocol governs metadata, permissions, rights, approvals, and related collaboration actions. Scripts may be reviewed, approved, scheduled, or invoked through API, with execution logs kept on an immutable ledger. Deployment can be cloud or on-premise, and customers choose hosting for the DataLab and enclave. Pricing is available on request.

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Integral

Integral prepares real-world data for AI by assessing privacy risk, sanitizing datasets and documenting the work. Qualified statistical experts evaluate re-identification risk and provide a signed opinion scoped to the assessment. Integral Privacy Sanitization de-identifies enterprise data while recording assessment details, remediation, utility metrics and methodology provenance. Remediation Preview lets teams compare privacy impact and utility metrics across several strategies before applying changes, and the platform supports reassessment as datasets, recipients and context evolve. Integral describes processing healthcare and clinical records, behavioral and consumer data, and enterprise and operational data. Deployment options include managed cloud, VPC or private cloud, on-premises and air-gapped environments. Privacy Sanitization can run directly in a customer’s Databricks environment. The site links to Bleach, an API for sanitizing data before training pipelines, and says a HIPAA BAA is available. Integral is presented for AI builders, data providers, pharma, data brokers and analytics teams. Pricing is on request.

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