Real-time
Two-way sync
Changes in Couchbase or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Couchbase to Yellowbrick integration — real-time, two-way sync
Keep Couchbase and Yellowbrick 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 Celigo
Why teams connect Couchbase and Yellowbrick
Connect Couchbase and Yellowbrick with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Couchbase's rows in Yellowbrick, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Couchbase where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Couchbase sync into Yellowbrick in real time, and result tables in Yellowbrick sync back into Couchbase, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Sync CRM and marketing data into Yellowbrick tables so it can be joined with large fact tables for enterprise BI.
- 02 Land ERP transactional extracts in Yellowbrick for finance and supply-chain analytics.
- 03 Two-way sync between Couchbase (serving application data) and a CRM so support and sales teams see live application state.
- 04 Consolidate documents from multiple Couchbase clusters into a single analytical store.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Couchbase land in Yellowbrick as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Yellowbrick sync into Couchbase, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
What you can sync between Couchbase and Yellowbrick
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.
| Couchbase objects | Yellowbrick objects | How this pairing syncs | |
|---|---|---|---|
| Full-text search indexes Search indexes over documents, relevant when syncing searchable content. | Schemas Namespaces used to organize synced datasets by source or domain. | Full-text search indexes is specific to Couchbase and Schemas to Yellowbrick — each maps to any object or custom field on the other side. | |
| Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | Buckets is specific to Couchbase and Tables to Yellowbrick — each maps to any object or custom field on the other side. | |
| Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Views Logical views used to shape reads for BI and downstream syncs. | Scopes is specific to Couchbase and Views to Yellowbrick — each maps to any object or custom field on the other side. | |
| Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | Users and Roles Access-control objects that govern what a sync service account can read and write. | Collections is specific to Couchbase and Users and Roles to Yellowbrick — each maps to any object or custom field on the other side. | |
| JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Databases Top-level containers for schemas and tables. | JSON Documents is specific to Couchbase and Databases to Yellowbrick — each maps to any object or custom field on the other side. |
How changes propagate between Couchbase and Yellowbrick
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.
Couchbase Yellowbrick Sub-second propagation
DetectionChanges in Couchbase are captured at the source via change data capture — no polling loop against its API. Database Change Protocol (DCP) streams document mutations.
DeliveryEach detected change is applied to Yellowbrick as a row-level write, with types converted between the two schemas.
Yellowbrick Couchbase Interval-based propagation
DetectionStacksync polls Yellowbrick for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp columns.
DeliveryEach detected change is applied to Couchbase as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Couchbase: Throughput is bounded by cluster sizing rather than API rate limits.
- Yellowbrick: No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
What ships with Couchbase ⇄ Yellowbrick
Connect Couchbase and Yellowbrick for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–Yellowbrick connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Couchbase or Yellowbrick 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 Couchbase or Yellowbrick record.
Observability
Monitoring
Track your Couchbase ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Couchbase and Yellowbrick.
How the Couchbase and Yellowbrick connectors work
Couchbase
- Integration surface
- SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs
- Authentication
- Database credentials with role-based access control, typically over TLS
- Change detection
- Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by cluster sizing rather than API rate limits
Yellowbrick
- Integration surface
- SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility
- Authentication
- Database credentials, with LDAP and Kerberos options in enterprise deployments
- Change detection
- Polling on timestamp columns; no exposed transaction-log CDC
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
How it works
How to connect Couchbase to Yellowbrick — 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 Couchbase and Yellowbrick with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Couchbase
connected
Yellowbrick
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Couchbase and Yellowbrick 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 · Couchbase ⇄ YellowbrickCustomers 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.
Couchbase YellowbrickCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Couchbase and Yellowbrick integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Couchbase and Yellowbrick: authenticate both systems, choose the objects to sync (such as Couchbase's Full-text search indexes and Buckets), 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 Couchbase and Yellowbrick: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Couchbase land in Yellowbrick as they change, replacing hand-built CDC and batch extract jobs.
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Couchbase: SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs. Authentication: Database credentials with role-based access control, typically over TLS. Yellowbrick: SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility. Authentication: Database credentials, with LDAP and Kerberos options in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
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Yellowbrick: High-volume ingest and extract go through the dedicated ybload and ybunload utilities rather than plain INSERT statements. Couchbase: The Database Change Protocol (DCP) exposes an ordered stream of document mutations, and it is the same mechanism Couchbase's own XDCR replication and Kafka connector consume. Stacksync's field mapping accounts for these differences between Couchbase and Yellowbrick 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 Couchbase and Yellowbrick 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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 348 integrations available for Couchbase and Yellowbrick.
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