Real-time
Real-time sync
Changes in Mixpanel or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Database
Mixpanel to PostgreSQL integration — real-time data sync
Keep Mixpanel 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Mixpanel and PostgreSQL
Give Mixpanel the users, events, and records that live in PostgreSQL in real time, and sync the cohorts and scores Mixpanel computes back into PostgreSQL where your applications read them.
Mixpanel is a read-only source: Stacksync reads its data in real time and delivers it into PostgreSQL, so 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 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 Roll Group Profiles up to account level and load them into a data model for product-qualified-account scoring.
- 02 Sync Lexicon event and property definitions into a warehouse to reconcile the tracking plan against downstream table schemas.
- 03 Let an application write to its own database and have those rows appear as records in business systems in near real time
- 04 Consolidate data from several microservice databases into one operational Postgres store
Common sync patterns
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 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 PostgreSQL as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Where Mixpanel builds cohorts or scores: results your services can read
Segments, cohorts, or scores computed in Mixpanel sync back into PostgreSQL, where the services that read from the database act on them at query speed without calling the analytics API.
What you can sync between Mixpanel 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.
| Mixpanel objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Lexicon Schemas Event and property definitions (metadata); read to reconcile the tracking plan against a warehouse schema. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | Lexicon Schemas is specific to Mixpanel and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side. | |
| 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 The primary sync target; rows map one-to-one to records in connected SaaS systems. | Events is specific to Mixpanel and Tables to PostgreSQL — each maps to any object or custom field on the other side. | |
| User Profiles People records (Engage) with properties like email, plan, and last-seen; read through the Engage/Query API and joined to event data. | Views Read-side projections used to expose joined or filtered data to a sync. | User Profiles is specific to Mixpanel and Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Group Profiles Account or workspace-level records from Group Analytics; read to roll event data up to a company or org dimension. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | Group Profiles is specific to Mixpanel and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Cohorts Saved user segments; membership pulled through the Engage/cohorts Query API to drive downstream lifecycle lists. | Schemas Namespaces that scope which tables a sync reads and writes. | Cohorts is specific to Mixpanel and Schemas to PostgreSQL — each maps to any object or custom field on the other side. | |
| Funnels Multi-step conversion reports; the Query API returns computed conversion rates rather than raw event rows. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | Funnels is specific to Mixpanel and Columns to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Mixpanel and PostgreSQL
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.
Mixpanel 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 PostgreSQL as a row-level write, with types converted between the two schemas.
PostgreSQL Mixpanel Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
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 PostgreSQL records.
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.
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Mixpanel ⇄ PostgreSQL
Connect Mixpanel and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Mixpanel–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Mixpanel 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 Mixpanel or PostgreSQL record.
Observability
Monitoring
Track your Mixpanel ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Mixpanel and PostgreSQL.
How the Mixpanel and PostgreSQL connectors work
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
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
How it works
How to connect Mixpanel 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.
- 01
Connect your apps
Authenticate Mixpanel 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.
Mixpanel
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Mixpanel 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.
objects · Mixpanel ⇄ PostgreSQLCustomers 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.
Mixpanel PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Mixpanel and PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Mixpanel and PostgreSQL — Mixpanel is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
-
Change detection on Mixpanel: 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. On PostgreSQL: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Mixpanel side: Lexicon Schemas, Events, User Profiles, Group Profiles, plus custom fields where Mixpanel exposes them. On the PostgreSQL side: Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums. Stacksync auto-detects both schemas and converts types between the two systems.
-
Mixpanel is a read-only source, so this integration runs one-way: Stacksync reads from Mixpanel in real time and delivers into PostgreSQL. Field mapping and monitoring work the same as for two-way pairs.
-
Common patterns for Mixpanel and PostgreSQL: Filter and grouping dimensions kept fresh; Where Mixpanel tracks product events: behavior onto stored records; Where Mixpanel builds cohorts or scores: results your services can read. Attributes teams slice by, such as plan, region, or account owner, stay current in Mixpanel because they sync from PostgreSQL as they change, instead of going stale after a one-time import.
-
Mixpanel: 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. PostgreSQL: 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. Stacksync manages authentication, retries, and rate limits on both sides.
SECURITY
Security teams trust 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
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 477 integrations available for Mixpanel and PostgreSQL.
Popular · 8 of 477
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Mixpanel ⇄ CockroachDB -
Mixpanel ⇄ Google AlloyDB -
Mixpanel ⇄ Dynamo DB -
Mixpanel ⇄ IBM Db2 -
PostgreSQL ⇄ Treasuredata -
PostgreSQL ⇄ Microsoft Power Bi -
PostgreSQL ⇄ Tableau -
PostgreSQL ⇄ Adobeanalytics
No integrations match .
