The Salmon Labs Platform

A real-time data engine that keeps your CRM in perfect sync with live customer behavior.

Core Platform Features

Six capabilities that together eliminate the gap between your data and your CRM.

Real-Time CDC

Tap directly into your database transaction log. Every row change triggers an immediate sync event with sub-millisecond capture latency.

Zero-Copy Architecture

Data flows from source to destination without intermediate materialization. No staging tables, no ETL overhead, no duplicate storage costs.

CRM Connector Library

Pre-built connectors for 40+ CRM platforms with field-level mapping, rate-limit handling, and conflict resolution built in.

Sub-100ms Latency Guarantee

Our SLA-backed latency guarantee covers the full pipeline — from event capture through transform to CRM write confirmation.

Schema Auto-Detection

Salmon Labs continuously monitors your source schema and automatically adapts field mappings when columns are added, renamed, or changed.

Event Replay and Recovery

Complete event history stored for 90 days. Replay any window to recover from CRM sync failures, schema migrations, or rollback scenarios.

Technical Deep Dive

The engineering decisions that make Salmon Labs faster than anything else on the market.

CDC architecture — Salmon Labs change data capture

CDC Architecture

Salmon Labs reads directly from the Write-Ahead Log (WAL) of your database. Unlike trigger-based or polling approaches, WAL capture adds zero load to your production database and captures every change in strict order.

  • Zero-impact log tailing — no additional database load
  • Ordered delivery with sequence guarantees
  • Support for PostgreSQL, MySQL, MongoDB change streams
  • Automatic handling of DDL changes and schema drift
Data transformation pipeline — Salmon Labs

Data Transformation Pipeline

The transform layer runs entirely in memory using a stream-processing model. Field enrichment, type coercion, and custom mapping rules execute in-flight without writing to disk at any step.

  • In-memory stream processing — no intermediate storage
  • Custom field mapping with JSONPath and CEL expressions
  • Real-time data enrichment via lookup tables
  • PII masking and field redaction at the transform layer
CRM sync engine architecture — Salmon Labs

CRM Sync Engine

The delivery layer uses intelligent API batching to maximize throughput while respecting CRM rate limits. Conflict detection compares record versions before every write to prevent overwriting newer data.

  • Adaptive batching: 1 to 1,000 records per API call
  • Optimistic concurrency control for conflict detection
  • Exponential backoff with jitter for rate-limited APIs
  • Dead letter queue with alerting for failed records

System Architecture

From database log to CRM record — a unified pipeline with no moving parts you don't control.

Salmon Labs full system architecture diagram

Built for Every CRM Team

Whether you're in sales, marketing, or customer success — real-time data changes how you work.

Sales Intelligence Sync

Keep opportunity stages, deal values, and account health scores current to the second. Your reps always know what's happening before they dial.

Marketing Automation Triggers

Fire email sequences, update lifecycle stages, and trigger campaigns the moment behavioral events occur — not hours later.

Customer Success Health Scores

Product usage signals flow into your CRM in real time so CSMs see churn risks the moment they emerge, not after the next daily sync.

Works With Your Existing Stack

Deep integrations with every major CRM, data warehouse, and event platform.

Salesforce
HubSpot
Pipedrive
Zoho CRM
Snowflake
BigQuery
PostgreSQL
MySQL
Segment
Amplitude
dbt
Fivetran

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