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Data warehouse ⇄ Database

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

Keep Firebolt and MariaDB 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Firebolt and MariaDB

Connect MariaDB 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 MariaDB'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 MariaDB where the services that read from it get them at normal query latency.

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

Common use cases

  • 01 Keep dimension tables aligned with source systems while high-volume event data loads through separate batch pipelines.
  • 02 Sync aggregated results from Firebolt back to operational tools that need computed metrics (reverse ETL).
  • 03 Feed a warehouse continuously from MariaDB using binlog-based capture instead of scheduled dumps
  • 04 Keep several MariaDB instances aligned with one system of record across environments

Common sync patterns

Offload heavy reads

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

Operational data in the warehouse, minus the pipeline

Rows from MariaDB land in Firebolt as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

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

What you can sync between Firebolt and MariaDB

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 MariaDB objects How this pairing syncs
Tables Managed columnar tables written with SQL; the main sync destination. Tables The primary sync target; rows map to records in connected systems. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Curated query surfaces commonly used as sources for reverse ETL. Views Read-side projections used as outbound sync sources. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
External tables References to files in object storage used to stage bulk loads. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. External tables is specific to Firebolt and Databases (Schemas) to MariaDB — each maps to any object or custom field on the other side.
Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. Columns Field-level mapping targets with engine-typed values. Aggregating indexes is specific to Firebolt and Columns to MariaDB — each maps to any object or custom field on the other side.
Engines Compute resources that must be running for a sync to read or write. Primary and Unique Keys Match keys for idempotent upserts. Engines is specific to Firebolt and Primary and Unique Keys to MariaDB — each maps to any object or custom field on the other side.
Databases Logical containers holding the tables a sync targets. System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. Databases is specific to Firebolt and System-Versioned Tables to MariaDB — each maps to any object or custom field on the other side.

How changes propagate between Firebolt and MariaDB

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Firebolt MariaDB Interval-based propagation

DetectionStacksync polls Firebolt for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

DeliveryEach detected change is applied to MariaDB as a row-level write, with types converted between the two schemas.

MariaDB Firebolt Sub-second propagation

DetectionChanges in MariaDB are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing.

DeliveryEach detected change is applied to Firebolt as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Firebolt: No fixed request quota; throughput depends on the engine size attached to the workload.
  • MariaDB: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Firebolt ⇄ MariaDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Firebolt or MariaDB 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 MariaDB record.

Observability

Monitoring

Track your Firebolt ⇄ MariaDB 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 MariaDB.

How the Firebolt and MariaDB 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

MariaDB

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

How to connect Firebolt to MariaDB — 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 MariaDB 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
    MariaDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Firebolt and MariaDB 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 ⇄ MariaDB
    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 MariaDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Firebolt and MariaDB integration FAQ

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
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 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 380 integrations available for Firebolt and MariaDB.

Popular · 5 of 380
All Firebolt integrations All MariaDB integrations Browse all integrations
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