Real-time
Two-way sync
Changes in Azure SQL Database or Firebolt instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Azure SQL Database to Firebolt integration — real-time, two-way sync
Keep Azure SQL Database and Firebolt 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 Celigo
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Azure SQL Database and Firebolt
Connect Azure SQL Database and Firebolt 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 Azure SQL Database's rows in Firebolt, 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 Azure SQL Database where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Azure SQL Database sync into Firebolt in real time, and result tables in Firebolt sync back into Azure SQL Database, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Sync CRM objects into Firebolt so customer-facing dashboards reflect recent pipeline changes.
- 02 Keep dimension tables aligned with source systems while high-volume event data loads through separate batch pipelines.
- 03 Consolidate data from several line-of-business apps into one Azure SQL database as an integration hub.
- 04 Feed an Azure SQL operational database with orders and inventory from an ERP in near real time.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Azure SQL Database land in Firebolt as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Firebolt sync into Azure SQL Database, 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 Azure SQL Database and Firebolt
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.
| Azure SQL Database objects | Firebolt objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Tables Managed columnar tables written with SQL; the main sync destination. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Views Curated query surfaces commonly used as sources for reverse ETL. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Engines Compute resources that must be running for a sync to read or write. | Stored procedures is specific to Azure SQL Database and Engines to Firebolt — each maps to any object or custom field on the other side. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Databases Logical containers holding the tables a sync targets. | Change tracking / CDC tables is specific to Azure SQL Database and Databases to Firebolt — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | External tables References to files in object storage used to stage bulk loads. | Schemas is specific to Azure SQL Database and External tables to Firebolt — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. | Rows and columns is specific to Azure SQL Database and Aggregating indexes to Firebolt — each maps to any object or custom field on the other side. |
How changes propagate between Azure SQL Database and Firebolt
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.
Azure SQL Database Firebolt Sub-second propagation
DetectionChanges in Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
DeliveryEach detected change is applied to Firebolt as a row-level write, with types converted between the two schemas.
Firebolt Azure SQL Database Interval-based propagation
DetectionStacksync polls Firebolt for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is applied to Azure SQL Database as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Firebolt: No fixed request quota; throughput depends on the engine size attached to the workload.
What ships with Azure SQL Database ⇄ Firebolt
Connect Azure SQL Database and Firebolt for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Firebolt connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure SQL Database or Firebolt 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 Azure SQL Database or Firebolt record.
Observability
Monitoring
Track your Azure SQL Database ⇄ Firebolt sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Firebolt.
How the Azure SQL Database and Firebolt connectors work
Azure SQL Database
- Integration surface
- SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers
- Authentication
- SQL authentication (database credentials) or Microsoft Entra ID authentication
- Change detection
- Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback
- Capabilities
- read · write · CDC
Firebolt
- Integration surface
- SQL over a REST API, with JDBC, Python, and Node.js SDKs
- Authentication
- Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens
- Change detection
- Polling; Firebolt is an analytics destination and does not expose a change feed
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput depends on the engine size attached to the workload
How it works
How to connect Azure SQL Database to Firebolt — 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 Azure SQL Database and Firebolt with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Azure SQL Database
connected
Firebolt
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure SQL Database and Firebolt 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 · Azure SQL Database ⇄ FireboltCustomers 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.
Azure SQL Database FireboltCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure SQL Database and Firebolt integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Azure SQL Database and Firebolt: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Azure SQL Database and Firebolt: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Azure SQL Database land in Firebolt as they change, replacing hand-built CDC and batch extract jobs.
-
Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. Firebolt: SQL over a REST API, with JDBC, Python, and Node.js SDKs. Authentication: Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens. Stacksync manages authentication, retries, and rate limits on both sides.
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Firebolt: Compute is organized into engines that start and stop independently of storage, so sync schedules interact with engine availability and cost. Azure SQL Database: Both change tracking (net changes per row) and change data capture (full change history from the transaction log) are available, giving two native options for incremental sync. Stacksync's field mapping accounts for these differences between Azure SQL Database and Firebolt 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 Azure SQL Database and Firebolt 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 Azure SQL Database and Firebolt connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure SQL Database–Firebolt integration in-house.
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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