Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or InfluxDB instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora PostgreSQL to InfluxDB integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL and InfluxDB 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 AWS Aurora PostgreSQL and InfluxDB
Keep AWS Aurora PostgreSQL and InfluxDB 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 AWS Aurora PostgreSQL and InfluxDB 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
- Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
- Sync JSONB-heavy application data into structured objects in downstream business systems.
- 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.
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.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
What you can sync between AWS Aurora PostgreSQL and InfluxDB
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.
| AWS Aurora PostgreSQL objects | InfluxDB objects | |
|---|---|---|
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Buckets / databases Named containers with retention settings that scope reads and writes. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Measurements The table-like grouping for points, typically mapped to a synced dataset. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Points Individual time-stamped records, the unit of write via line protocol. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Tags Indexed key-value metadata used for filtering and as sync partition keys. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Fields The unindexed numeric or string values carried by each point. |
What ships with AWS Aurora PostgreSQL ⇄ InfluxDB
Connect AWS Aurora PostgreSQL and InfluxDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–InfluxDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or InfluxDB 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 AWS Aurora PostgreSQL or InfluxDB record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ InfluxDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and InfluxDB.
How the AWS Aurora PostgreSQL and InfluxDB connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
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.
How it works
How to connect AWS Aurora PostgreSQL to InfluxDB — 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 AWS Aurora PostgreSQL and InfluxDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
AWS Aurora PostgreSQL
connected
InfluxDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL and InfluxDB 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 · AWS Aurora PostgreSQL ⇄ InfluxDBCustomers 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.
AWS Aurora PostgreSQL InfluxDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and InfluxDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and InfluxDB: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Databases and schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for AWS Aurora PostgreSQL and InfluxDB: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. InfluxDB: REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version. Authentication: API token. Stacksync manages authentication, retries, and rate limits on both sides.
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AWS Aurora PostgreSQL: PostgreSQL compatibility means JSONB, arrays, and custom types survive intact when syncing between Aurora and other Postgres-compatible stores. InfluxDB: Every record is timestamped by design, which makes incremental extraction a natural time-range query rather than a CDC problem. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and InfluxDB 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 AWS Aurora PostgreSQL and InfluxDB 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 AWS Aurora PostgreSQL and InfluxDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–InfluxDB integration in-house.
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 AWS Aurora PostgreSQL and InfluxDB.
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ Google Cloud Spanner - AWS Aurora PostgreSQL ⇄ Google Cloud SQL
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AWS Aurora PostgreSQL ⇄ IBM AS/400 -
AWS Aurora PostgreSQL ⇄ IBM Informix -
InfluxDB ⇄ Postgres Heroku -
InfluxDB ⇄ Airtable - InfluxDB ⇄ AWS Aurora MySQL
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InfluxDB ⇄ MongoDB
No integrations match .
