Real-time sync
Changes in Mixpanel or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep Mixpanel and SingleStore in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Mixpanel is a read-only source: Stacksync reads its data in real time and delivers it into SingleStore, so SingleStore 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 SingleStore 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.
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.
Attributes teams slice by, such as plan, region, or account owner, stay current in Mixpanel because they sync from SingleStore as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Mixpanel sync into SingleStore as rows, so applications and internal tools can read behavioral data next to the records they already keep.
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 | SingleStore objects | How this pairing syncs | |
|---|---|---|---|
| Group Profiles Account or workspace-level records from Group Analytics; read to roll event data up to a company or org dimension. | Databases The connection target containing the tables a sync addresses. | Group Profiles is specific to Mixpanel and Databases to SingleStore — 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. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | Cohorts is specific to Mixpanel and Tables (rowstore and columnstore) to SingleStore — 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. | Views Read-only projections used as curated sync sources. | Funnels is specific to Mixpanel and Views to SingleStore — each maps to any object or custom field on the other side. | |
| Retention Return-usage reports read from the Query API as aggregated cohort tables, not row-level records. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Retention is specific to Mixpanel and Reference Tables to SingleStore — 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. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Segmentation is specific to Mixpanel and Pipelines to SingleStore — 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. | Stored Procedures Existing logic sometimes invoked on write paths. | Lookup Tables is specific to Mixpanel and Stored Procedures to SingleStore — each maps to any object or custom field on the other side. |
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.
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 SingleStore as a row-level write, with types converted between the two schemas.
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
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 SingleStore records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Mixpanel–SingleStore connection.
Changes in Mixpanel or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Mixpanel or SingleStore data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Mixpanel or SingleStore record.
Track your Mixpanel ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Mixpanel and SingleStore.
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.
Authenticate Mixpanel and SingleStore with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Mixpanel and SingleStore 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between Mixpanel and SingleStore — 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.
On the Mixpanel side: Retention, Segmentation, Lookup Tables, Lexicon Schemas, plus custom fields where Mixpanel exposes them. On the SingleStore side: Reference Tables, Pipelines, Stored Procedures, Indexes and Shard Keys. 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 SingleStore. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Mixpanel and SingleStore: One version of each user or account; Filter and grouping dimensions kept fresh; Where Mixpanel tracks product events: behavior onto stored records. 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.
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. SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. 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. SingleStore: Its universal storage combines rowstore and columnstore characteristics, letting the same tables serve transactional lookups and analytical scans. Stacksync's field mapping accounts for these differences between Mixpanel and SingleStore without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 381 integrations available for Mixpanel and SingleStore.