Real-time
Real-time sync
Changes in Mixpanel or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Database
Mixpanel to TimescaleDB integration — real-time data sync
Keep Mixpanel and TimescaleDB 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 TimescaleDB
Give Mixpanel the users, events, and records that live in TimescaleDB in real time, and sync the cohorts and scores Mixpanel computes back into TimescaleDB where your applications read them.
Mixpanel is a read-only source: Stacksync reads its data in real time and delivers it into TimescaleDB, so TimescaleDB 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 TimescaleDB 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 Read Funnel and Retention reports from the Query API into a reporting database for executive dashboards without manual CSV pulls.
- 02 Roll Group Profiles up to account level and load them into a data model for product-qualified-account scoring.
- 03 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- 04 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB, 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 TimescaleDB
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Retention Return-usage reports read from the Query API as aggregated cohort tables, not row-level records. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Retention is specific to Mixpanel and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Segmentation Property-based event breakdowns from the Query API, returned as time-series aggregates for reporting. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Segmentation is specific to Mixpanel and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Lookup Tables Dimension tables joined to events; capped at 100MB with 100 writes per 24h, so treated as reference data. | Views Standard SQL views used to shape or filter data for consumers. | Lookup Tables is specific to Mixpanel and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| Lexicon Schemas Event and property definitions (metadata); read to reconcile the tracking plan against a warehouse schema. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Lexicon Schemas is specific to Mixpanel and Schemas to TimescaleDB — 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. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Events is specific to Mixpanel and Hypertables to TimescaleDB — 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | User Profiles is specific to Mixpanel and Chunks to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Mixpanel and TimescaleDB
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 TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Mixpanel Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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 TimescaleDB 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.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Mixpanel ⇄ TimescaleDB
Connect Mixpanel and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Mixpanel–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Mixpanel or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Mixpanel ⇄ TimescaleDB 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 TimescaleDB.
How the Mixpanel and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Mixpanel to TimescaleDB — 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 TimescaleDB 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
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Mixpanel and TimescaleDB 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 ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Mixpanel and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Mixpanel and TimescaleDB — 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.
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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 TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. 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: Group Profiles, Cohorts, Funnels, Retention, plus custom fields where Mixpanel exposes them. On the TimescaleDB side: Regular PostgreSQL Tables, Views, Schemas, Hypertables. Stacksync auto-detects both schemas and converts types between the two systems.
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Mixpanel is a read-only source, so this integration runs one-way: Stacksync reads from Mixpanel in real time and delivers into TimescaleDB. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Mixpanel and TimescaleDB: 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 TimescaleDB 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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. 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 361 integrations available for Mixpanel and TimescaleDB.
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