Real-time sync
Changes in Google Cloud Spanner or Mixpanel instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Spanner 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.
Mixpanel is a read-only source: Stacksync reads its data in real time and delivers it into Google Cloud Spanner, so Google Cloud Spanner 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 Google Cloud Spanner 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.
Segments, cohorts, or scores computed in Mixpanel sync back into Google Cloud Spanner, where the services that read from the database act on them at query speed without calling the analytics API.
The users, events, orders, and records stored in Google Cloud Spanner land in Mixpanel as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
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.
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.
| Google Cloud Spanner objects | Mixpanel objects | How this pairing syncs | |
|---|---|---|---|
| Rows The unit of read and write in each sync cycle, keyed by primary key. | Retention Return-usage reports read from the Query API as aggregated cohort tables, not row-level records. | Rows is specific to Google Cloud Spanner and Retention to Mixpanel — each maps to any object or custom field on the other side. | |
| Interleaved tables Child rows physically co-located with parents; synced as related records. | Segmentation Property-based event breakdowns from the Query API, returned as time-series aggregates for reporting. | Interleaved tables is specific to Google Cloud Spanner and Segmentation to Mixpanel — each maps to any object or custom field on the other side. | |
| Secondary indexes Used to make incremental read queries efficient on non-key columns. | Lookup Tables Dimension tables joined to events; capped at 100MB with 100 writes per 24h, so treated as reference data. | Secondary indexes is specific to Google Cloud Spanner and Lookup Tables to Mixpanel — each maps to any object or custom field on the other side. | |
| Change streams Capture inserts, updates, and deletes for log-style change data capture. | Lexicon Schemas Event and property definitions (metadata); read to reconcile the tracking plan against a warehouse schema. | Change streams is specific to Google Cloud Spanner and Lexicon Schemas to Mixpanel — each maps to any object or custom field on the other side. | |
| Views Read-only projections useful for shaping data before it leaves Spanner. | 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. | Views is specific to Google Cloud Spanner and Events to Mixpanel — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope schema and sync configuration. | User Profiles People records (Engage) with properties like email, plan, and last-seen; read through the Engage/Query API and joined to event data. | Databases is specific to Google Cloud Spanner and User Profiles to Mixpanel — 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.
DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.
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 Google Cloud Spanner records.
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 Google Cloud Spanner as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Spanner–Mixpanel connection.
Changes in Google Cloud Spanner or Mixpanel instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Spanner or Mixpanel data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Spanner or Mixpanel record.
Track your Google Cloud Spanner ⇄ Mixpanel sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Spanner and Mixpanel.
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 Google Cloud Spanner 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.
Pick the Google Cloud Spanner 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.
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 Google Cloud Spanner 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.
Yes — Stacksync ships production-grade connectors for both Google Cloud Spanner and Mixpanel. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Mixpanel side: Lexicon Schemas, Events, User Profiles, Group Profiles, plus custom fields where Mixpanel exposes them. On the Google Cloud Spanner side: Interleaved tables, Secondary indexes, Change streams, Views. 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 Google Cloud Spanner. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Google Cloud Spanner and Mixpanel: Where Mixpanel builds cohorts or scores: results your services can read; Analytics on live operational data, minus the pipeline; One version of each user or account. Segments, cohorts, or scores computed in Mixpanel sync back into Google Cloud Spanner, where the services that read from the database act on them at query speed without calling the analytics API.
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 359 integrations available for Google Cloud Spanner and Mixpanel.