--- title: "Data - Stacksync" description: "Monitor every sync in real time, resolve, revert, or replay incidents without re-architecting the platform." canonical: https://www.stacksync.com/team/data last_modified: 2026-07-05 --- Stacksync × Supabase Miami: **AI-Native Operations** Oct 13 [Reserve your spot](https://www.stacksync.com/events/2026-10-13-supabase-miami) Resolve, revert, replay - without re-architecting # Data teams monitor every sync in real time Sync the warehouse to operational systems, monitor every record in flight, and replay any failure, without rebuilding the platform. [Book a demo](https://www.stacksync.com/book-a-demo) [Talk to a solutions architect](https://www.stacksync.com/book-a-demo) ## Adopted by fast-scaling companies moving mission-critical data in real time - Gladia Case study - IDEXX - MedPro Migrated from MuleSoft - Eko Case study - Ubicloud - Vimeo - Codility Migrated from Celigo - ACERTUS Migrated from Heroku Connect - Syringa Migrated from Matillion - Truora - Streaam Case study - SEAL SQ - Rinsed Migrated from Fivetran - IA Capital Group Case study - Meter - Golden Pear Funding Migrated from Celigo What data teams fight every sprint ## Three reasons your data platform spends more time on integrations than analytics. The hardest part of running a modern data stack isn't the warehouse, it's everything that has to flow into and out of it without breaking the rest of the company. 01 - Pipeline fragility ### One schema change upstream breaks five jobs downstream Every API change at Salesforce, NetSuite, or Stripe ripples through ingestion, transformation, and reverse-ETL. Without contract testing across the chain, breakages show up as missing rows in dashboards on Monday morning. RELIABILITY 02 - Reverse-ETL drift ### Models in the warehouse, decisions in the CRM You ship a churn-risk model, and it lands in the warehouse, not the seller's view. Bolting on a reverse-ETL tool adds cost, latency, and another point of failure to monitor. DATA QUALITY 03 - Incident response ### Sync failures are invisible until someone complains When a Stripe-to-Snowflake job silently drops a day of records, you find out from finance, not from your monitoring. Replaying the missed window means a custom backfill script and crossing your fingers. OBSERVABILITY 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](https://www.stacksync.com/book-a-demo) ### [Two-way sync](https://www.stacksync.com/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](https://www.stacksync.com/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](https://www.stacksync.com/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](https://www.stacksync.com/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](https://www.stacksync.com/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](https://www.stacksync.com/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](https://www.stacksync.com/book-a-demo) Connectors ## Every system that produces or consumes operational data. Stacksync covers ingestion, sync, reverse-ETL, and event streaming on a single set of connectors, with end-to-end observability per record. Warehouses & lakes 05 - Snowflake - BigQuery - Databricks - Redshift - ClickHouse Operational databases 05 - PostgreSQL - MySQL - MongoDB - DynamoDB - Cosmos DB Streaming & events 05 - Kafka - Kinesis - Pub/Sub - Pulsar - Webhook Source systems 05 - Salesforce - HubSpot - Stripe - NetSuite - Shopify Every sync emits OpenTelemetry traces, drop them into Datadog, Honeycomb, or Grafana. [Browse all 1,000+ connectors](https://www.stacksync.com/connectors) SECURITY ## Security teams trust 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](https://www.stacksync.com/security) | | | | --- | --- | | | SOC 2 Type II | | | ISO 27001 | | | HIPAA BAA | | | GDPR | | | CCPA | | | 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](https://www.stacksync.com/security) [SSH Tunnelling](https://docs.stacksync.com/two-way-sync/connectors/setup-options/ssh-tunneling) [SSL certificates](https://docs.stacksync.com/two-way-sync/connectors/postgres/authorize-postgres/amazon-rds/ensuring-secure-rds-connections-with-ssl-certificate) [IP Whitelisting](https://docs.stacksync.com/two-way-sync/connectors/setup-options/ip-whitelisting) [VPN gateway](https://docs.stacksync.com/two-way-sync/legal/service-consumption-tables#:~:text=%E2%9C%93-,VPN%20gateway,-%2D) [VPC peering](https://www.stacksync.com/security) and more Common questions ## Common questions from data teams. Data teams ask how Stacksync compares to Fivetran + Hightouch, how replays work, how CDC is handled, and where observability traces live. [Talk to a solutions architect](https://www.stacksync.com/book-a-demo) ### How does Stacksync compare to Fivetran + Hightouch? Fivetran handles ELT in; Hightouch handles reverse-ETL out, Stacksync is one platform doing both, plus event-driven sync, on the same connectors. One contract, one observability surface, one place to debug. ### Can we replay a failed sync window? Yes. Every sync window is durable, Stacksync stores a manifest of every record processed and the outcome. Failed windows replay with one click; partial replays (only the failed records) are also supported. ### What about CDC from Postgres to the warehouse? Stacksync supports logical replication (Postgres, MySQL) and change-feed APIs (MongoDB, DynamoDB, Cosmos DB) natively. Latency is sub-second for in-region targets. ### How does observability work? Every sync emits OpenTelemetry traces (span per record), metrics (sync rate, failure rate, lag), and structured logs. Drop them into your existing observability stack, Datadog, Honeycomb, Grafana, New Relic, via OTLP. ## Your last integration took months. Your next one takes a prompt. [Book a demo](https://www.stacksync.com/book-a-demo) [Get started](https://app.stacksync.com/)