Real-time
Two-way sync
Changes in Braze or Pinecone instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ AI
Braze to Pinecone integration — real-time, two-way sync
Keep Braze 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.
- 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
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Braze and Pinecone
Feed Braze's records into Pinecone for indexing, classification, and generation, then land the model's output back on those same records, in real time and in both directions.
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 Braze, 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 Braze'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 Content Blocks, Users, Custom Attributes, Custom Events from Braze into Pinecone continuously, so the model always works from current records instead of a snapshot, and writes Index statistics, Indexes, Vectors (records), Namespaces, the scores, labels, summaries, drafts, and embedding metadata Pinecone produces, back onto the matching record in Braze. 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.
Common use cases
- 01 Back up a namespace by exporting its vector ids, values, and metadata to object storage or a database on a schedule using the list and fetch operations.
- 02 Write embeddings and their metadata into a Pinecone index from a Postgres or warehouse table so a semantic-search or RAG feature always queries fresh vectors.
- 03 Sync audience membership computed in the warehouse into Braze segments for targeting.
- 04 Sync CRM and billing attributes onto Braze user profiles so lifecycle campaigns target accurate plan and status data.
Common sync patterns
Where Pinecone classifies or scores: results land on the record
Categories, sentiment, priority, or scores produced by Pinecone write back onto the matching record in Braze, so the team acts on them in the tool they already use.
Where Pinecone generates text: drafts and summaries where the work happens
Summaries, suggested replies, or generated content from Pinecone sync onto the Braze record as a field or note, ready for a person to review before it goes out.
Every output routes back to the right record
Because each item is matched on a stable identifier, an Pinecone result always attaches to the record in Braze it was computed from, with no manual reconciliation.
What you can sync between Braze and Pinecone
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.
| Braze objects | Pinecone objects | How this pairing syncs | |
|---|---|---|---|
| Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | 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. | Canvases is specific to Braze and Vectors (records) to Pinecone — each maps to any object or custom field on the other side. | |
| Subscription Groups Channel-level opt-in states synced with consent records in other systems. | 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. | Subscription Groups is specific to Braze and Namespaces to Pinecone — each maps to any object or custom field on the other side. | |
| Content Blocks Reusable message content referenced across campaigns. | 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. | Content Blocks is specific to Braze and Collections to Pinecone — each maps to any object or custom field on the other side. | |
| Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. | 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. | Users is specific to Braze and Backups to Pinecone — each maps to any object or custom field on the other side. | |
| Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. | 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. | Custom Attributes is specific to Braze and Index statistics to Pinecone — each maps to any object or custom field on the other side. | |
| Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | 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. | Custom Events is specific to Braze and Indexes to Pinecone — each maps to any object or custom field on the other side. |
How changes propagate between Braze and Pinecone
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.
Braze Pinecone Interval-based propagation
DetectionStacksync polls Braze for changes on an incremental schedule, reading only records changed since the previous pass. Braze Currents streams engagement events outward.
DeliveryEach detected change is written to Pinecone through its API, with automatic retries and rate-limit backoff.
Pinecone Braze Interval-based propagation
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 Braze through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Braze: Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request.
- Pinecone: Data-plane operations are capped per second: query, upsert, update, and delete at 100 req/s per namespace, fetch at 100 req/s per index, and list at 200 req/s per index; breaches return HTTP 429. Hard request limits also apply: an upsert is max 2 MB or 1000 records, metadata max 40 KB per record, and query top_k up to 10,000 with a 4 MB result cap.
What ships with Braze ⇄ Pinecone
Connect Braze and Pinecone for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Pinecone connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Braze or Pinecone 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 Braze or Pinecone record.
Observability
Monitoring
Track your Braze ⇄ Pinecone sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Braze and Pinecone.
How the Braze and Pinecone connectors work
Braze
- Integration surface
- REST API
- Authentication
- REST API keys scoped to specific endpoints, issued per workspace
- Change detection
- Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling
- Capabilities
- read · write
- Rate limits
- Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request
Pinecone
- Integration surface
- Two HTTP APIs: a control plane at api.pinecone.io (manage indexes, collections, backups, and, via the Admin API, projects and API keys) and a per-index data plane at the host returned by describe_index (upsert, query, fetch, update, delete, list). A gRPC data-plane transport is available through the official SDKs.
- Authentication
- API key in the Api-Key request header, scoped to one project; every request also sends an X-Pinecone-Api-Version header (date-based, e.g. 2025-10). The organization Admin API instead uses OAuth2 client-credentials (service accounts) via login.pinecone.io/oauth/token, passing a Bearer token to api.pinecone.io/admin (Enterprise).
- Change detection
- 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.
- Capabilities
- read · write
- Rate limits
- Data-plane operations are capped per second: query, upsert, update, and delete at 100 req/s per namespace, fetch at 100 req/s per index, and list at 200 req/s per index; breaches return HTTP 429. Hard request limits also apply: an upsert is max 2 MB or 1000 records, metadata max 40 KB per record, and query top_k up to 10,000 with a 4 MB result cap.
How it works
How to connect Braze to Pinecone — 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 Braze 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.
Braze
connected
Pinecone
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Braze 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.
objects · Braze ⇄ PineconeCustomers 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.
Braze PineconeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Braze and Pinecone integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Braze and Pinecone: authenticate both systems, choose the objects to sync (such as Braze's Canvases and Subscription Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Pinecone: Pinecone is a genuine writable data store: the data plane supports full CRUD on vectors - upsert (insert or replace), update (patch values or metadata), fetch, query, and delete - so Stacksync syncs it in both directions. Braze: The users/track endpoint accepts attributes, custom events, and purchases for many users in a single batched request, which is the standard write path for syncs. Stacksync's field mapping accounts for these differences between Braze and Pinecone without custom code.
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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 Braze and Pinecone records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Braze and Pinecone connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Braze–Pinecone integration in-house.
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Yes — Stacksync ships production-grade connectors for both Braze and Pinecone. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. 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.
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
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