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Field-level PHI masking on every record
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De-identified analytics
without exposing PHI

Apply field-level masking as records leave Epic, Cerner, or your EHR and stream the de-identified result into Snowflake or BigQuery in real time, so analysts build dashboards without protected health information ever leaving the boundary.

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Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Where analytics pipelines expose PHI

Three reasons safe data turns risky.

Moving clinical data to a warehouse usually means copying everything and trusting downstream controls. That's where PHI slips into places it shouldn't be.

01 - Copy everything

Raw PHI lands in the warehouse

Most ETL jobs lift full tables from Epic into Snowflake, names and MRNs included. Now every analyst with warehouse access can read identified patient data they never needed.

COMPLIANCE
02 - Masking too late

De-identification happens after the leak

Teams mask inside the BI tool, after the raw extract already sat in staging. The window between landing and masking is exactly where an audit finds exposure.

DATA QUALITY
03 - Stale snapshots

Dashboards run on last week's data

Nightly de-id batches mean clinical and operational dashboards always trail reality. Decisions get made on a snapshot that no longer reflects the floor.

LATENCY
PLATFORM

Six products. One Platform.
Replace many legacy vendors.

Every tool Stacksync replaces is one fewer vendor, one fewer bill, one fewer integration to maintain.

Start building now

Two-way sync

Changes made in one platform automatically update across all connected systems in real time, eliminating data silos and reducing errors.

Replaces:
Heroku Connect and Salesforce Data 360
Heroku Connect Salesforce Data 360

Workflow automation

Stop building brittle API scripts. With Stacksync, you can trigger complex automated workflows using simple SQL commands.

Replaces:
Workato and Boomi

AI Agents

Expose every enterprise system to your agents through a single MCP layer. Claude, ChatGPT and Gemini get production-grade tools without custom glue code.

Natively available in:
Claude and ChatGPT and Gemini
Claude ChatGPT Gemini

Event queues

Handle massive traffic spikes without losing a single event. Queues buffer your data during surges, ensuring strict ordering and reliable delivery.

Replaces:
Kafka and Amazon SQS and Confluent
Kafka Amazon SQS

Database hosting

Interact with your CRM, ERP, and payment tools as if they were just another table in your database. Say goodbye to rate limits and complex API documentation.

Replaces:
AWS RDS and Self-hosted databases
AWS RDS Self-hosted databases

EDI

Transform legacy EDI complexity into simple database interactions. Stacksync automatically parses incoming EDI documents directly into your database tables.

Replaces:
SPS Commerce and TrueCommerce
Start building now
Connectors

Every source a dataset draws from, masked on the way out.

Stacksync ships pre-built connectors for the EHRs and operational systems analytics pulls from, applying field-level masking and tokenization before data reaches the warehouse.

Clinical sources
05
  • Epic
  • Cerner
  • athenahealth
  • eClinicalWorks
  • Redox
Operational sources
05
  • Workday
  • NetSuite
  • Salesforce
  • Microsoft 365
  • Veeva
Warehouses & BI
05
  • Snowflake
  • BigQuery
  • Databricks
  • Postgres
  • MongoDB
Governance & alerts
05
  • Slack
  • Twilio
  • SendGrid
  • Oracle DB
  • FHIR R4
Custom masking rules, tokenization keys, and per-field PHI policies are first-class, no scripting required.
Browse all 1,000+ connectors
SECURITY

Security teams love Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Where does de-identification actually happen?

In the pipeline, before the record reaches Snowflake. Masked, hashed, or tokenized values are written to the warehouse; raw PHI never lands in staging or BI.

Can we keep referential joins after masking?

Yes. Consistent tokenization replaces an MRN with a stable surrogate key, so analysts still join encounters and outcomes across tables without ever seeing the real identifier.

How fresh is the de-identified data?

Real-time. Records mask and stream as they change, sub-second on event sources and 1–60s on polled ones, so dashboards reflect the floor instead of last night's batch.

Is the masking itself auditable?

Yes. Every field-level policy decision is logged per record, so you can prove to an auditor which fields were masked, tokenized, or dropped before data left the boundary.

Coworkers laughing in front of a laptop in a casual office setting

Stop copying PHI into BI.
Ship safe data in real time.

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