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Database

InfluxDB to PostgreSQL integration — real-time, two-way sync

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

  • SOC 2 and 6 other compliance frameworks
  • 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 InfluxDB and PostgreSQL

Keep InfluxDB and PostgreSQL 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 InfluxDB and PostgreSQL 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

  • Feed alert-relevant thresholds and asset metadata from business systems into InfluxDB tags for richer queries.
  • Sync device and telemetry rollups from InfluxDB into a CRM or ERP so account teams see product usage and fleet health.
  • Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • Let an application write to its own database and have those rows appear as records in business systems in near real time

Cross-engine sync

Keep the same dataset live in both InfluxDB and PostgreSQL, 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 InfluxDB and PostgreSQL

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 PostgreSQL objects
Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. Materialized Views Precomputed result sets synced outward on a refresh schedule.
Buckets / databases Named containers with retention settings that scope reads and writes. Schemas Namespaces that scope which tables a sync reads and writes.
Measurements The table-like grouping for points, typically mapped to a synced dataset. Columns Field-level mapping targets; types are mapped to the connected system's field types.
Points Individual time-stamped records, the unit of write via line protocol. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution.
Tags Indexed key-value metadata used for filtering and as sync partition keys. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata.
Fields The unindexed numeric or string values carried by each point. Sequences Generate surrogate keys for rows created by inbound syncs.
What ships with InfluxDB ⇄ PostgreSQL

Connect InfluxDB and PostgreSQL for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in InfluxDB or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever InfluxDB or PostgreSQL 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 InfluxDB or PostgreSQL record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between InfluxDB and PostgreSQL.

How the InfluxDB and PostgreSQL connectors work

InfluxDB

Integration surface
REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version
Authentication
API token
Change detection
Polling with time-range queries; data is timestamped, so incremental reads use time cursors
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

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

    Choose tables

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

InfluxDB and PostgreSQL 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 InfluxDB and PostgreSQL.

Popular · 8 of 386
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