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Couchbase to SQL Server integration — real-time, two-way sync

Keep Couchbase and SQL Server 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 Couchbase and SQL Server

Keep Couchbase and SQL Server synchronized in real time, across engines, regions, or services, in one or both directions.

Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.

Stacksync syncs tables or collections between Couchbase and SQL Server continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.

Common use cases

  • 01 Consolidate documents from multiple Couchbase clusters into a single analytical store.
  • 02 Write cleaned or enriched records from operational databases back into Couchbase collections that applications read.
  • 03 Expose SaaS records as SQL Server tables that existing SSRS reports and internal apps can query
  • 04 Mirror on-premises ERP data held in SQL Server into cloud CRM and support systems

Common sync patterns

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

What you can sync between Couchbase and SQL Server

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 SQL Server objects How this pairing syncs
JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. Stored Procedures T-SQL logic that can validate or post-process synced rows. JSON Documents is specific to Couchbase and Stored Procedures to SQL Server — each maps to any object or custom field on the other side.
Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. Databases Instance-level databases that scope a sync's reads and writes. Global Secondary Indexes is specific to Couchbase and Databases to SQL Server — each maps to any object or custom field on the other side.
XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. Schemas Namespaces (dbo and custom) used to organize synced tables. XDCR replications is specific to Couchbase and Schemas to SQL Server — each maps to any object or custom field on the other side.
Full-text search indexes Search indexes over documents, relevant when syncing searchable content. Tables The primary sync target; rows map to records in connected systems. Full-text search indexes is specific to Couchbase and Tables to SQL Server — 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. Views Read-side projections used as outbound sync sources. Buckets is specific to Couchbase and Views to SQL Server — each maps to any object or custom field on the other side.
Scopes Namespaces inside a bucket used to group collections, similar to schemas. Columns Field-level mapping targets with T-SQL types. Scopes is specific to Couchbase and Columns to SQL Server — each maps to any object or custom field on the other side.

How changes propagate between Couchbase and SQL Server

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 SQL Server 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 SQL Server as a row-level write, with types converted between the two schemas.

SQL Server Couchbase Sub-second propagation

DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).

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.
  • SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Couchbase ⇄ SQL Server

Connect Couchbase and SQL Server for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–SQL Server connection.

Real-time

Two-way sync

Changes in Couchbase or SQL Server instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Couchbase or SQL Server 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 SQL Server record.

Observability

Monitoring

Track your Couchbase ⇄ SQL Server 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 SQL Server.

How the Couchbase and SQL Server 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

SQL Server

Integration surface
SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
Authentication
Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

How to connect Couchbase to SQL Server — 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.

  1. 01

    Connect your apps

    Authenticate Couchbase and SQL Server with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Couchbase connected
    SQL Server connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Couchbase and SQL Server 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Couchbase ⇄ SQL Server
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Couchbase SQL Server
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Couchbase and SQL Server integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 454 integrations available for Couchbase and SQL Server.

Popular · 4 of 454
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