Two-way sync
Changes in InfluxDB or MySQL instantly reflect in both systems. No stale data, no manual imports.
Keep InfluxDB 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.
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 InfluxDB and MySQL 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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both InfluxDB and MySQL, so each workload runs on the engine that suits it.
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.
| InfluxDB objects | MySQL objects | |
|---|---|---|
| Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. | Views Read-side projections used as outbound sync sources. | |
| Buckets / databases Named containers with retention settings that scope reads and writes. | Columns Field-level mapping targets with engine-typed values. | |
| Measurements The table-like grouping for points, typically mapped to a synced dataset. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | |
| Points Individual time-stamped records, the unit of write via line protocol. | JSON Columns Validated semi-structured payloads for nested SaaS data. | |
| Tags Indexed key-value metadata used for filtering and as sync partition keys. | Stored Procedures Server-side logic that can post-process synced rows. | |
| Fields The unindexed numeric or string values carried by each point. | Triggers An alternative change-capture mechanism when binlog access is unavailable. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InfluxDB–MySQL connection.
Changes in InfluxDB or MySQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever InfluxDB or MySQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single InfluxDB or MySQL record.
Track your InfluxDB ⇄ MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between InfluxDB and MySQL.
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.
Authenticate InfluxDB 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.
Pick the InfluxDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between InfluxDB and MySQL: authenticate both systems, choose the objects to sync (such as InfluxDB's Organizations and Buckets / databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed InfluxDB and MySQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom InfluxDB–MySQL integration in-house.
Yes — Stacksync ships production-grade connectors for both InfluxDB and MySQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on InfluxDB: Polling with time-range queries; data is timestamped, so incremental reads use time cursors. On MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the InfluxDB side: Buckets / databases, Measurements, Points, Tags, plus custom fields where InfluxDB exposes them. On the MySQL side: Primary and Unique Keys, JSON Columns, Stored Procedures, Triggers. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for InfluxDB and MySQL.