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ETL and reverse ETL on the same connectors
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Real-time ETL and reverse ETL
in one platform

One platform for ELT and reverse-ETL — same connectors, same observability, both directions.

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
The two-tool problem

Three reasons running Fivetran + Hightouch is more painful than it looks.

ELT and reverse-ETL are the same primitives in opposite directions. Running two tools doubles the cost, the integrations to maintain, and the places to debug.

01 — Connector duplication

You pay twice for every system

Fivetran charges per source; Hightouch charges per destination. Most systems show up on both lists, so you pay for the same Salesforce connector in two SKUs.

COST
02 — Observability split

When a sync breaks, which tool's UI do you open?

A row went into the warehouse but didn't come back to the CRM. Was it Fivetran's fault, Hightouch's, or the model in between? Three SaaS apps to check, three sets of logs.

DEBUGGING
03 — Latency

Round-trip is hours, not seconds

Fivetran syncs hourly. Your dbt models run nightly. Hightouch ships every 30 minutes. End-to-end latency from source change to operational tool is measured in hours.

FRESHNESS
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
Start building now
Connectors

One platform, both directions, every system.

Stacksync uses the same connectors for ELT in and reverse-ETL out — define a model once, decide where it goes (warehouse, CRM, both).

ELT sources
05
  • Salesforce
  • HubSpot
  • Stripe
  • NetSuite
  • Postgres
Warehouses
05
  • Snowflake
  • BigQuery
  • Databricks
  • Redshift
  • ClickHouse
Reverse-ETL sinks
05
  • Salesforce
  • HubSpot
  • Marketo
  • Iterable
  • Customer.io
Streaming bus
05
  • Kafka
  • Kinesis
  • Pub/Sub
  • Webhook
  • EventBridge
Models defined in Stacksync (or in dbt, or in your warehouse) sync straight to operational tools without a second platform.
Browse all 1,500+ 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.

SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US, EU, UK, CH
CSA STAR
→ 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:

Can we keep using dbt?

Yes. Stacksync reads from dbt models like any other warehouse table. Your transformation logic stays in dbt; Stacksync handles the operational sync layer on top.

How fast is the round trip?

Source change to warehouse: 1–60 seconds depending on connector (CDC where available). Warehouse model to operational tool: sub-second to a few seconds. End-to-end is typically under 10 seconds, vs. hours with separate tools.

What happens to my Fivetran / Hightouch deployment?

Most teams migrate incrementally — run Stacksync alongside in the validation period, then cut over connector by connector. Migration scripts are available for both source and destination configurations.

How is pricing different?

Stacksync prices on records moved, not per source/destination connector. So syncing the same connector both directions counts the data once, not twice.

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

Your last integration took months.
Your next one takes a prompt.