Real-time
Two-way sync
Changes in Pinecone or Syspro instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ ERP
Pinecone to Syspro integration — real-time, two-way sync
Keep Pinecone and Syspro 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 Pinecone and Syspro
Ground Pinecone on the customers, suppliers, items, and transactions that live in Syspro, and write the classifications, scores, and extracted fields Pinecone produces back onto those records in real time.
An AI system does not keep customers, orders, or invoices the way an ERP does. What it keeps is derived: the vectors and metadata in a store, or the classifications, extracted fields, and generated text a model produces over records it was handed. Syspro is where those source records actually live, across finance, operations, procurement, and inventory, and that data usually stays behind a strict API with many record types. Whatever Pinecone produces, whether a category, a risk flag, an extracted value, or an embedding, only earns its keep when it lands back on the record in Syspro where the business is run.
Stacksync connects Collections, Backups, Index statistics, Indexes in Pinecone with Inventory items, Sales orders, Purchase orders, Jobs (work orders) in Syspro and keeps the two sides in sync in real time. Inventory items, Sales orders, Purchase orders, Jobs (work orders) from Syspro replicate into Pinecone continuously, so retrieval, classification, and reasoning run against current ERP records instead of last night's extract, and the fields Pinecone generates sync back onto the matching record in Syspro. Mapping is field-level, matching is on identifiers you choose, and Stacksync handles the ERP's API limits and schema drift, so there is no extraction pipeline to build or babysit.
Because every AI-side item carries the key of the record it came from, results always resolve to the right customer, supplier, or transaction. Pinecone reasons over the business as it actually is within seconds of a change, and the people running operations act on model output where they already work, without exporting a file or logging into a second system.
Common use cases
- 01 Keep a Pinecone index aligned with a source of truth (a product catalog, knowledge base, or CRM) so new, changed, and deleted records upsert and delete the matching vectors.
- 02 Two-way sync vector metadata between Pinecone and an operational database so filters and tags stay aligned on both sides.
- 03 Post shipment confirmations from logistics systems back against SYSPRO sales orders
- 04 Write sales orders from e-commerce platforms or CRMs into SYSPRO without manual re-entry
Common sync patterns
Derived fields back on the record
Categories, scores, or extracted values produced in Pinecone sync onto the matching record in Syspro, where operations and finance teams see and act on them without leaving the ERP.
Continuous freshness, no reload
As records are created or corrected in Syspro, the copy held in Pinecone updates within seconds, so the model side never reasons over stale ERP data.
One consistent identity across both systems
A customer, supplier, item, or transaction in Syspro maps to the corresponding entry in Pinecone, so every AI result attaches to the right entity on both sides.
What you can sync between Pinecone and Syspro
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.
| Pinecone objects | Syspro objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Jobs (work orders) Manufacturing jobs and WIP tracked for production reporting. | Backups is specific to Pinecone and Jobs (work orders) to Syspro — each maps to any object or custom field on the other side. | |
| 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. | Bills of materials Product structures referenced when syncing manufacturing data. | Index statistics is specific to Pinecone and Bills of materials to Syspro — each maps to any object or custom field on the other side. | |
| 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. | AR invoices Billing documents surfaced to CRMs and finance reporting. | Indexes is specific to Pinecone and AR invoices to Syspro — each maps to any object or custom field on the other side. | |
| 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. | GL journals Financial postings extracted for consolidation and analytics. | Vectors (records) is specific to Pinecone and GL journals to Syspro — each maps to any object or custom field on the other side. | |
| 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. | Warehouses Stocking locations that scope inventory balances. | Namespaces is specific to Pinecone and Warehouses to Syspro — each maps to any object or custom field on the other side. | |
| 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. | Customers AR customer master records matched against CRM accounts. | Collections is specific to Pinecone and Customers to Syspro — each maps to any object or custom field on the other side. |
How changes propagate between Pinecone and Syspro
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.
Pinecone Syspro 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 Syspro through its API, with automatic retries and rate-limit backoff.
Syspro Pinecone Interval-based propagation
DetectionStacksync polls Syspro for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is written to Pinecone through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- 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.
- Syspro: Throughput depends on the customer's server sizing; many deployments are on-premise.
What ships with Pinecone ⇄ Syspro
Connect Pinecone and Syspro for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Pinecone–Syspro connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Pinecone or Syspro 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 Pinecone or Syspro record.
Observability
Monitoring
Track your Pinecone ⇄ Syspro sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Pinecone and Syspro.
How the Pinecone and Syspro connectors work
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.
Syspro
- Integration surface
- e.net Solutions business objects, exposed over REST and WCF interfaces in SYSPRO 8
- Authentication
- SYSPRO operator credentials exchanged for a session token
- Change detection
- Polling; the ERP does not expose a change feed to external consumers
- Capabilities
- read · write
- Rate limits
- Throughput depends on the customer's server sizing; many deployments are on-premise
How it works
How to connect Pinecone to Syspro — 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 Pinecone and Syspro with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pinecone
connected
Syspro
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Pinecone and Syspro 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 · Pinecone ⇄ SysproCustomers 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.
Pinecone SysproCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Pinecone and Syspro integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Pinecone and Syspro: authenticate both systems, choose the objects to sync (such as Pinecone's Backups and Index statistics), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Pinecone and Syspro: Derived fields back on the record; Continuous freshness, no reload; One consistent identity across both systems. Categories, scores, or extracted values produced in Pinecone sync onto the matching record in Syspro, where operations and finance teams see and act on them without leaving the ERP.
-
Pinecone: 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). Syspro: E.net Solutions business objects, exposed over REST and WCF interfaces in SYSPRO 8. Authentication: SYSPRO operator credentials exchanged for a session token. Stacksync manages authentication, retries, and rate limits on both sides.
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Pinecone: Authentication is an Api-Key header scoped to a project plus a date-based X-Pinecone-Api-Version header; the organization Admin API uses OAuth2 service-account credentials (Bearer token) to manage projects and API keys. Syspro: The product targets discrete manufacturing and distribution, so the object model centers on inventory, jobs, and order documents. Stacksync's field mapping accounts for these differences between Pinecone and Syspro 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 Pinecone and Syspro 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:
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