Two-way sync
Changes in Microsoft 365 or Pinecone instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft 365 and Pinecone in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Pinecone works on data it does not own. The records, conversations, tickets, messages, and events it needs to embed, classify, summarize, or answer questions about actually live in Microsoft 365, the tool the team uses every day. So the value of Pinecone depends on two flows that most teams stitch together with a custom script or a one-time export: getting Microsoft 365's data in, and getting the model's results back out to where people can act on them. When either flow runs on a batch or a stale snapshot, the model reasons over yesterday's data and its output never reaches the record it belongs to.
Stacksync syncs Calendar Events, Contacts, OneDrive Files (driveItems), SharePoint Sites & Lists from Microsoft 365 into Pinecone continuously, so the model always works from current records instead of a snapshot, and writes Backups, Index statistics, Indexes, Vectors (records), the scores, labels, summaries, drafts, and embedding metadata Pinecone produces, back onto the matching record in Microsoft 365. The sync is field-level and keyed on a stable identifier, so every output attaches to the exact record it came from and each system keeps its own extra fields untouched.
You decide the direction and the trigger conditions per field: pull records one way to build and keep a retrieval corpus current, push results the other way onto the operational record, or both.
Summaries, suggested replies, or generated content from Pinecone sync onto the Microsoft 365 record as a field or note, ready for a person to review before it goes out.
Because each item is matched on a stable identifier, an Pinecone result always attaches to the record in Microsoft 365 it was computed from, with no manual reconciliation.
Records, tickets, messages, or events from Microsoft 365 sync into Pinecone so they can be indexed, embedded, or retrieved as context, without a hand-built extraction job.
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.
| Microsoft 365 objects | Pinecone objects | How this pairing syncs | |
|---|---|---|---|
| Calendar Events Events synced with scheduling tools and CRMs for meeting visibility. | Collections Immutable snapshots of a pod-based index that store its data but not its definition; created, listed, and deleted on the control plane and used to recreate a pod-based index. Serverless indexes use Backups instead. | Calendar Events is specific to Microsoft 365 and Collections to Pinecone — each maps to any object or custom field on the other side. | |
| Contacts Personal and org contacts kept consistent with CRM contact records. | Backups Point-in-time snapshots of a serverless index; created, listed, and restored into a new index on the control plane for recovery or cloning. Read as a recovery-asset inventory. | Contacts is specific to Microsoft 365 and Backups to Pinecone — each maps to any object or custom field on the other side. | |
| OneDrive Files (driveItems) File and folder metadata synced for document workflows and audits. | Index statistics Describe_index_stats returns total and per-namespace vector counts, the index dimension, and index fullness; read to size a sync and to detect drift between Pinecone and the source of truth. | OneDrive Files (driveItems) is specific to Microsoft 365 and Index statistics to Pinecone — each maps to any object or custom field on the other side. | |
| SharePoint Sites & Lists List items read and written like lightweight database tables. | Indexes Serverless or pod-based containers holding vectors of a fixed dimension and distance metric (cosine, dotproduct, euclidean); managed on the control plane (api.pinecone.io) via create, list, describe, configure, and delete. describe_index returns the per-index data-plane host. | SharePoint Sites & Lists is specific to Microsoft 365 and Indexes to Pinecone — each maps to any object or custom field on the other side. | |
| Teams Team and membership data provisioned from upstream systems. | Vectors (records) The core data: an id (up to 512 chars), a dense values array, optional sparse_values, and JSON metadata (up to 40 KB filterable per record). Full CRUD on the data plane via upsert, update, fetch, query, and delete, so write is supported here. | Teams is specific to Microsoft 365 and Vectors (records) to Pinecone — each maps to any object or custom field on the other side. | |
| Planner & To Do Tasks Task items synced with project and work-management tools. | Namespaces Partitions inside an index; every read and write targets one namespace and vectors across namespaces are isolated. Enumerated with list_namespaces and sized per namespace via describe_index_stats. | Planner & To Do Tasks is specific to Microsoft 365 and Namespaces to Pinecone — 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.
DetectionMicrosoft 365 notifies Stacksync of record changes through webhook events. Graph change notifications (webhooks) plus delta queries for incremental sync.
DeliveryEach detected change is written to Pinecone through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Pinecone for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks and no native change-data-capture feed.
DeliveryEach detected change is written to Microsoft 365 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft 365–Pinecone connection.
Changes in Microsoft 365 or Pinecone instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft 365 or Pinecone data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Microsoft 365 or Pinecone record.
Track your Microsoft 365 ⇄ Pinecone sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft 365 and Pinecone.
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 Microsoft 365 and Pinecone 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 Microsoft 365 and Pinecone 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 two-way integration between Microsoft 365 and Pinecone: authenticate both systems, choose the objects to sync (such as Microsoft 365's Calendar Events and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Microsoft 365 and Pinecone. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Microsoft 365: Graph change notifications (webhooks) plus delta queries for incremental sync. On Pinecone: No webhooks and no native change-data-capture feed. Vectors carry no server-side update timestamp, so Stacksync detects changes by re-reading - paginating vector ids with the list operation (serverless indexes) and fetching by id, or by re-upserting from the source of truth. describe_index_stats bounds a resync with per-namespace counts. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Pinecone side: Backups, Index statistics, Indexes, Vectors (records), plus custom fields where Pinecone exposes them. On the Microsoft 365 side: Calendar Events, Contacts, OneDrive Files (driveItems), SharePoint Sites & Lists. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Microsoft 365 and Pinecone: Where Pinecone generates text: drafts and summaries where the work happens; Every output routes back to the right record; Build a retrieval corpus from Microsoft 365's records. Summaries, suggested replies, or generated content from Pinecone sync onto the Microsoft 365 record as a field or note, ready for a person to review before it goes out.
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 428 integrations available for Microsoft 365 and Pinecone.