Real-time
Two-way sync
Changes in InfluxDB or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Database
InfluxDB to Postgres Heroku integration — real-time, two-way sync
Keep InfluxDB and Postgres Heroku 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect InfluxDB and Postgres Heroku
Keep InfluxDB and Postgres Heroku 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 Postgres Heroku 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
- Replicate downsampled aggregates into a data warehouse for long-term BI beyond retention windows.
- Feed alert-relevant thresholds and asset metadata from business systems into InfluxDB tags for richer queries.
- Expose CRM objects as Postgres tables the Heroku application can query and join directly
- Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
Cross-engine sync
Keep the same dataset live in both InfluxDB and Postgres Heroku, 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 Postgres Heroku
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 | Postgres Heroku objects | |
|---|---|---|
| Measurements The table-like grouping for points, typically mapped to a synced dataset. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Points Individual time-stamped records, the unit of write via line protocol. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Tags Indexed key-value metadata used for filtering and as sync partition keys. | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Fields The unindexed numeric or string values carried by each point. | Views Read-side projections exposed to outbound syncs. | |
| Retention policies Automatic expiry rules that determine how long synced history remains queryable. | Materialized Views Precomputed result sets synced outward on refresh. | |
| Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. | Schemas Namespaces that scope which tables a sync reads and writes. |
What ships with InfluxDB ⇄ Postgres Heroku
Connect InfluxDB and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InfluxDB–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever InfluxDB or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your InfluxDB ⇄ Postgres Heroku 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 Postgres Heroku.
How the InfluxDB and Postgres Heroku 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.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect InfluxDB to Postgres Heroku — 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.
- 01
Connect your apps
Authenticate InfluxDB and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
InfluxDB
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the InfluxDB and Postgres Heroku 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.
objects · InfluxDB ⇄ Postgres HerokuCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
InfluxDB Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
InfluxDB and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between InfluxDB and Postgres Heroku: authenticate both systems, choose the objects to sync (such as InfluxDB's Measurements and Points), map fields visually, and changes propagate both ways in milliseconds — no code required.
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InfluxDB: Every record is timestamped by design, which makes incremental extraction a natural time-range query rather than a CDC problem. Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Stacksync's field mapping accounts for these differences between InfluxDB and Postgres Heroku without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means InfluxDB and Postgres Heroku records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed InfluxDB and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom InfluxDB–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both InfluxDB and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on InfluxDB: Polling with time-range queries; data is timestamped, so incremental reads use time cursors. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for InfluxDB and Postgres Heroku.
Popular · 8 of 386
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InfluxDB ⇄ RavenDB -
InfluxDB ⇄ Redis Enterprise -
InfluxDB ⇄ SAP ASE (Sybase) -
InfluxDB ⇄ Scaleway Postgres -
Postgres Heroku ⇄ VoltDB -
Postgres Heroku ⇄ YugabyteDB -
Postgres Heroku ⇄ PostgreSQL -
Postgres Heroku ⇄ Amazon RDS
No integrations match .
