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Database ⇄ Analytics

AWS Aurora PostgreSQL to Mixpanel integration — real-time data sync

Keep AWS Aurora PostgreSQL and Mixpanel 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 AWS Aurora PostgreSQL and Mixpanel

Give Mixpanel the users, events, and records that live in AWS Aurora PostgreSQL in real time, and sync the cohorts and scores Mixpanel computes back into AWS Aurora PostgreSQL where your applications read them.

Mixpanel is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora PostgreSQL, so AWS Aurora PostgreSQL always reflects the current state of Mixpanel — without exports, scripts, or schedulers.

A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Mixpanel is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from AWS Aurora PostgreSQL into Mixpanel usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.

Common use cases

  • 01 Sync Lexicon event and property definitions into a warehouse to reconcile the tracking plan against downstream table schemas.
  • 02 Export raw Events and User Profiles into Postgres or a warehouse so product usage can be joined with CRM and billing data in SQL.
  • 03 Feed operational dashboards from a read replica while the writer handles sync traffic.
  • 04 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.

Common sync patterns

One version of each user or account

A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.

Filter and grouping dimensions kept fresh

Attributes teams slice by, such as plan, region, or account owner, stay current in Mixpanel because they sync from AWS Aurora PostgreSQL as they change, instead of going stale after a one-time import.

Where Mixpanel tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Mixpanel sync into AWS Aurora PostgreSQL as rows, so applications and internal tools can read behavioral data next to the records they already keep.

What you can sync between AWS Aurora PostgreSQL and Mixpanel

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 Mixpanel objects How this pairing syncs
Tables The core sync unit; rows are matched across systems by primary key. Events Time-stamped user actions (live via /track, historical via /import); the primary dataset read out through the Raw Data Export API by date range. Tables is specific to AWS Aurora PostgreSQL and Events to Mixpanel — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. User Profiles People records (Engage) with properties like email, plan, and last-seen; read through the Engage/Query API and joined to event data. Rows is specific to AWS Aurora PostgreSQL and User Profiles to Mixpanel — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Group Profiles Account or workspace-level records from Group Analytics; read to roll event data up to a company or org dimension. Columns is specific to AWS Aurora PostgreSQL and Group Profiles to Mixpanel — each maps to any object or custom field on the other side.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Cohorts Saved user segments; membership pulled through the Engage/cohorts Query API to drive downstream lifecycle lists. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Cohorts to Mixpanel — each maps to any object or custom field on the other side.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Funnels Multi-step conversion reports; the Query API returns computed conversion rates rather than raw event rows. Views and materialized views is specific to AWS Aurora PostgreSQL and Funnels to Mixpanel — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Retention Return-usage reports read from the Query API as aggregated cohort tables, not row-level records. Foreign keys is specific to AWS Aurora PostgreSQL and Retention to Mixpanel — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Mixpanel

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.

AWS Aurora PostgreSQL Mixpanel Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

DeliveryMixpanel does not accept inbound record writes, so this direction carries requests rather than records: Mixpanel's output flows back as field updates on the originating AWS Aurora PostgreSQL records.

Mixpanel AWS Aurora PostgreSQL Interval-based propagation

DetectionStacksync polls Mixpanel for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: the Raw Data Export API is polled over an event-time date window (from_date/to_date).

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

Rate-limit considerations

  • Mixpanel: Raw Data Export API allows 60 queries/hour, 3/second, and up to 100 concurrent; the Query API allows 60/hour with 5 concurrent; exceeding limits returns a 429.
What ships with AWS Aurora PostgreSQL ⇄ Mixpanel

Connect AWS Aurora PostgreSQL and Mixpanel for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Mixpanel 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 Mixpanel record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Mixpanel 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 Mixpanel.

How the AWS Aurora PostgreSQL and Mixpanel 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

Mixpanel

Integration surface
Ingestion API, Query API, and Raw Data Export API (REST)
Authentication
Service Account with HTTP Basic Auth (username + secret) scoped by project_id; the legacy Project Secret method is deprecated with end-of-life March 3, 2027
Change detection
Pull-based: the Raw Data Export API is polled over an event-time date window (from_date/to_date); no CDC or push change feed, though Data Pipelines can schedule warehouse exports
Capabilities
read
Rate limits
Raw Data Export API allows 60 queries/hour, 3/second, and up to 100 concurrent; the Query API allows 60/hour with 5 concurrent; exceeding limits returns a 429
How it works

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

    Choose tables

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

AWS Aurora PostgreSQL and Mixpanel integration FAQ

SECURITY

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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.

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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 384 integrations available for AWS Aurora PostgreSQL and Mixpanel.

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