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Data warehouse ⇄ Database

Firebolt to MySQL integration — real-time, two-way sync

Keep Firebolt and MySQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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  • POC with real engineers in minutes

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

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Why teams connect Firebolt and MySQL

Connect MySQL and Firebolt with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want MySQL's rows in Firebolt, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in MySQL where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in MySQL sync into Firebolt in real time, and result tables in Firebolt sync back into MySQL, with schema and type mapping between the two systems handled for you.

Common use cases

  • Sync aggregated results from Firebolt back to operational tools that need computed metrics (reverse ETL).
  • Land operational data from Postgres, MySQL, or SaaS applications into Firebolt tables for low-latency analytics.
  • Expose SaaS objects as MySQL tables so legacy internal tools built on MySQL can read live business data
  • Replicate ERP master data (customers, items, pricing) into the MySQL databases behind storefronts and portals

Serve warehouse results at database speed

Aggregates or model outputs computed in Firebolt sync into MySQL, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Firebolt and keep MySQL focused on its operational workload.

What you can sync between Firebolt and MySQL

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Firebolt objects MySQL objects
External tables References to files in object storage used to stage bulk loads. Stored Procedures Server-side logic that can post-process synced rows.
Views Curated query surfaces commonly used as sources for reverse ETL. Triggers An alternative change-capture mechanism when binlog access is unavailable.
Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes.
Engines Compute resources that must be running for a sync to read or write. Tables The primary sync target; rows map to records in connected systems.
Databases Logical containers holding the tables a sync targets. Views Read-side projections used as outbound sync sources.
Tables Managed columnar tables written with SQL; the main sync destination. Columns Field-level mapping targets with engine-typed values.
What ships with Firebolt ⇄ MySQL

Connect Firebolt and MySQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebolt–MySQL connection.

Real-time

Two-way sync

Changes in Firebolt or MySQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Firebolt or MySQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Firebolt or MySQL record.

Observability

Monitoring

Track your Firebolt ⇄ MySQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Firebolt and MySQL.

How the Firebolt and MySQL connectors work

Firebolt

Integration surface
SQL over a REST API, with JDBC, Python, and Node.js SDKs
Authentication
Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens
Change detection
Polling; Firebolt is an analytics destination and does not expose a change feed
Capabilities
read · write
Rate limits
No fixed request quota; throughput depends on the engine size attached to the workload

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

How to connect Firebolt to MySQL — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Firebolt and MySQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Firebolt connected
    MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Firebolt and MySQL objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Firebolt ⇄ MySQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Firebolt MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Firebolt and MySQL integration FAQ

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

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Firebolt and MySQL.

Popular · 8 of 386
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