Real-time
Real-time sync
Changes in Citus or Mixpanel instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Analytics
Citus to Mixpanel integration — real-time data sync
Keep Citus 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.
- 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 Citus and Mixpanel
Give Mixpanel the users, events, and records that live in Citus in real time, and sync the cohorts and scores Mixpanel computes back into Citus where your applications read them.
Mixpanel is a read-only source: Stacksync reads its data in real time and delivers it into Citus, so Citus 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 Citus 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 Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
- 04 Consolidate per-tenant rows from distributed tables into per-customer reporting databases.
Common sync patterns
Analytics on live operational data, minus the pipeline
The users, events, orders, and records stored in Citus land in Mixpanel as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
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 Citus as they change, instead of going stale after a one-time import.
What you can sync between Citus 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.
| Citus objects | Mixpanel objects | How this pairing syncs | |
|---|---|---|---|
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Segmentation Property-based event breakdowns from the Query API, returned as time-series aggregates for reporting. | Distributed tables is specific to Citus and Segmentation to Mixpanel — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Lookup Tables Dimension tables joined to events; capped at 100MB with 100 writes per 24h, so treated as reference data. | Reference tables is specific to Citus and Lookup Tables to Mixpanel — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Lexicon Schemas Event and property definitions (metadata); read to reconcile the tracking plan against a warehouse schema. | Local tables is specific to Citus and Lexicon Schemas to Mixpanel — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | 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. | Schemas is specific to Citus and Events to Mixpanel — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | 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 is specific to Citus and User Profiles to Mixpanel — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Group Profiles Account or workspace-level records from Group Analytics; read to roll event data up to a company or org dimension. | Sequences is specific to Citus and Group Profiles to Mixpanel — each maps to any object or custom field on the other side. |
How changes propagate between Citus 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.
Citus Mixpanel Sub-second propagation
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
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 Citus records.
Mixpanel Citus 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 Citus 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 Citus ⇄ Mixpanel
Connect Citus and Mixpanel for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Mixpanel connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus 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 Citus or Mixpanel record.
Observability
Monitoring
Track your Citus ⇄ Mixpanel sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Citus and Mixpanel.
How the Citus and Mixpanel connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- 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 Citus 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.
- 01
Connect your apps
Authenticate Citus 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.
Citus
connected
Mixpanel
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus 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.
objects · Citus ⇄ MixpanelCustomers 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.
Citus MixpanelCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and Mixpanel integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Citus and Mixpanel — 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.
-
Mixpanel is a read-only source, so this integration runs one-way: Stacksync reads from Mixpanel in real time and delivers into Citus. Field mapping and monitoring work the same as for two-way pairs.
-
Common patterns for Citus and Mixpanel: Analytics on live operational data, minus the pipeline; One version of each user or account; Filter and grouping dimensions kept fresh. The users, events, orders, and records stored in Citus land in Mixpanel as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
-
Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). 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. Stacksync manages authentication, retries, and rate limits on both sides.
-
Mixpanel: The Raw Data Export API is rate-limited to 60 queries per hour, 3 per second, and 100 concurrent; exceeding any limit returns a 429. Citus: Because shard data lives on worker nodes, log-based CDC is more involved than on single-node Postgres and depends on the Citus version and hosting (including the Azure managed service). Stacksync's field mapping accounts for these differences between Citus and Mixpanel without custom code.
-
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 Citus and Mixpanel records are not retained after a sync operation.
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 364 integrations available for Citus and Mixpanel.
Popular · 8 of 364
-
Citus ⇄ Microsoft Power Bi -
Citus ⇄ Tableau -
Citus ⇄ Adobeanalytics -
Citus ⇄ Pendo -
Mixpanel ⇄ Amazon DynamoDB -
Mixpanel ⇄ Reltio -
Mixpanel ⇄ SAP Hana -
Mixpanel ⇄ Jdbc
No integrations match .
