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

Keep MySQL and TimescaleDB 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 MySQL and TimescaleDB

Keep MySQL and TimescaleDB synchronized in real time, across engines, regions, or services, in one or both directions.

Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.

Stacksync syncs tables or collections between MySQL and TimescaleDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.

Common use cases

  • 01 Expose SaaS objects as MySQL tables so legacy internal tools built on MySQL can read live business data
  • 02 Replicate ERP master data (customers, items, pricing) into the MySQL databases behind storefronts and portals
  • 03 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
  • 04 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.

Common sync patterns

Cross-engine sync

Keep the same dataset live in both MySQL and TimescaleDB, so each workload runs on the engine that suits it.

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

What you can sync between MySQL and TimescaleDB

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.

MySQL objects TimescaleDB objects How this pairing syncs
Views Read-side projections used as outbound sync sources. Views Standard SQL views used to shape or filter data for consumers. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Stored Procedures Server-side logic that can post-process synced rows. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. Stored Procedures is specific to MySQL and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side.
Triggers An alternative change-capture mechanism when binlog access is unavailable. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. Triggers is specific to MySQL and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side.
Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. Schemas Postgres namespaces used to separate synced datasets by team or environment. Databases (Schemas) is specific to MySQL and Schemas to TimescaleDB — each maps to any object or custom field on the other side.
Tables The primary sync target; rows map to records in connected systems. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. Tables is specific to MySQL and Hypertables to TimescaleDB — each maps to any object or custom field on the other side.
Columns Field-level mapping targets with engine-typed values. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. Columns is specific to MySQL and Chunks to TimescaleDB — each maps to any object or custom field on the other side.

How changes propagate between MySQL and TimescaleDB

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.

MySQL TimescaleDB Sub-second propagation

DetectionChanges in MySQL 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 (requires log_bin_trust_function_creators=ON when.

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

TimescaleDB MySQL Sub-second propagation

DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.

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

Rate-limit considerations

  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
  • TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with MySQL ⇄ TimescaleDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MySQL or TimescaleDB 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 MySQL or TimescaleDB record.

Observability

Monitoring

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

Trading partners

EDI

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

How the MySQL and TimescaleDB connectors work

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

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

How to connect MySQL to TimescaleDB — 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 MySQL and TimescaleDB 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
    MySQL connected
    TimescaleDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the MySQL and TimescaleDB 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 · MySQL ⇄ TimescaleDB
    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
    MySQL TimescaleDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

MySQL and TimescaleDB 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
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 469 integrations available for MySQL and TimescaleDB.

Popular · 7 of 469
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