Real-time
Two-way sync
Changes in CockroachDB or Pinecone instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ AI
CockroachDB to Pinecone integration — real-time, two-way sync
Keep CockroachDB 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect CockroachDB and Pinecone
Sync the records in CockroachDB into Pinecone and land its embeddings, classifications, and generated fields back on the same rows, in real time and without a pipeline to maintain.
AI systems do not hold customers or invoices the way business apps do. What they hold is derived from your data: the vectors and metadata in a vector store, or the classifications, extracted fields, and generated text a model produces over records it was given. CockroachDB is where those source records actually live. The bridge between the two is the row itself, since an item in Pinecone and the record in CockroachDB it describes are two halves of the same thing, and they drift the moment one is updated without the other.
Stacksync syncs Tables, Views, Indexes, Sequences in CockroachDB with Indexes, Vectors (records), Namespaces, Collections in Pinecone in real time. Rows created or changed in CockroachDB flow into Pinecone so inference and embedding run on current data, and the scores, labels, and generated fields Pinecone produces flow back onto the matching rows in CockroachDB, mapped field by field. A change on either side appears on the other within seconds, with no extraction job or webhook plumbing to keep alive.
Because matching is by a stable identifier, every row in CockroachDB stays tied to its AI-side counterpart in Pinecone. Retrieval, enrichment, and generated content always resolve back to the record they came from, so there are no orphaned vectors and no labels describing a version of a row that no longer exists.
Common use cases
- 01 Read an index's vectors and per-namespace statistics into a warehouse for auditing what is stored, sizing cost, and detecting drift from the source data.
- 02 Migrate or clone vectors between Pinecone indexes, projects, or namespaces - or from another vector store into Pinecone - using batched upserts.
- 03 Use changefeeds to propagate row changes from a multi-region cluster into a warehouse or search index.
- 04 Keep reference data consistent between CockroachDB and regional application databases.
Common sync patterns
Run the AI on current data
Rows created or changed in CockroachDB flow into Pinecone as they happen, so embeddings, classifications, and prompts run on the latest records instead of a nightly snapshot.
Write results back onto the record
Scores, labels, extracted fields, or generated text produced in Pinecone land on the matching row in CockroachDB, next to the source data your applications already query.
Keep derived data fresh as sources change
When a row in CockroachDB is updated or removed, its counterpart in Pinecone is updated or removed too, so nothing in Pinecone describes a record that has since changed or gone.
What you can sync between CockroachDB 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.
| CockroachDB objects | Pinecone objects | How this pairing syncs | |
|---|---|---|---|
| Indexes Secondary indexes that keep sync lookup queries fast on key columns. | 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. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespaces within a database used to isolate synced tables from application tables. | 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. | Schemas is specific to CockroachDB and Backups to Pinecone — each maps to any object or custom field on the other side. | |
| Tables The core read/write target; rows sync bi-directionally with SaaS objects or other databases. | 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. | Tables is specific to CockroachDB and Index statistics to Pinecone — each maps to any object or custom field on the other side. | |
| Views Read-only projections used as curated sync sources. | 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. | Views is specific to CockroachDB and Vectors (records) to Pinecone — each maps to any object or custom field on the other side. | |
| Sequences ID generators that matter when writes originate from an external system. | 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. | Sequences is specific to CockroachDB and Namespaces to Pinecone — each maps to any object or custom field on the other side. | |
| Changefeeds Built-in CDC streams that emit row-level changes to external sinks. | 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. | Changefeeds is specific to CockroachDB and Collections to Pinecone — each maps to any object or custom field on the other side. |
How changes propagate between CockroachDB 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.
CockroachDB Pinecone Sub-second propagation
DetectionChanges in CockroachDB are captured at the source via change data capture — no polling loop against its API. CDC via changefeeds, which stream row-level changes.
DeliveryEach detected change is written to Pinecone through its API, with automatic retries and rate-limit backoff.
Pinecone CockroachDB 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 applied to CockroachDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- CockroachDB: No API rate limits in the SaaS sense; throughput is bounded by cluster capacity.
- 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 CockroachDB ⇄ Pinecone
Connect CockroachDB and Pinecone for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every CockroachDB–Pinecone connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever CockroachDB 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 CockroachDB or Pinecone record.
Observability
Monitoring
Track your CockroachDB ⇄ Pinecone sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between CockroachDB and Pinecone.
How the CockroachDB and Pinecone connectors work
CockroachDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible)
- Authentication
- Database credentials with TLS; client certificates or SCRAM password auth
- Change detection
- CDC via changefeeds, which stream row-level changes; polling as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits in the SaaS sense; throughput is bounded by cluster capacity
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 CockroachDB 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 CockroachDB 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.
CockroachDB
connected
Pinecone
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the CockroachDB 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 · CockroachDB ⇄ 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.
CockroachDB PineconeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
CockroachDB and Pinecone integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between CockroachDB and Pinecone: authenticate both systems, choose the objects to sync (such as CockroachDB's Indexes and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Pinecone side: Indexes, Vectors (records), Namespaces, Collections, plus custom fields where Pinecone exposes them. On the CockroachDB side: Tables, Views, Indexes, Sequences. Stacksync auto-detects both schemas and converts types between the two systems.
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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 CockroachDB and Pinecone: Run the AI on current data; Write results back onto the record; Keep derived data fresh as sources change. Rows created or changed in CockroachDB flow into Pinecone as they happen, so embeddings, classifications, and prompts run on the latest records instead of a nightly snapshot.
-
CockroachDB: SQL wire protocol (PostgreSQL-compatible). Authentication: Database credentials with TLS; client certificates or SCRAM password auth. 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). Stacksync manages authentication, retries, and rate limits on both sides.
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Pinecone: Pinecone has no webhooks and no native change-data-capture stream for vector changes; vectors carry no update timestamp, so change detection is by re-reading (list + fetch on serverless indexes) or by source-driven upserts. CockroachDB: Transactions run at serializable isolation by default, stronger than the read-committed default of most SQL databases. Stacksync's field mapping accounts for these differences between CockroachDB and Pinecone without custom code.
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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