Two-way sync
Changes in Azure SQL Database or Firebolt instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Rows from Azure SQL Database land in Firebolt as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Firebolt sync into Azure SQL Database, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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 | |
|---|---|---|
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Tables Managed columnar tables written with SQL; the main sync destination. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | External tables References to files in object storage used to stage bulk loads. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Views Curated query surfaces commonly used as sources for reverse ETL. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Engines Compute resources that must be running for a sync to read or write. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Databases Logical containers holding the tables a sync targets. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Firebolt connection.
Changes in Azure SQL Database or Firebolt instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database or Firebolt data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure SQL Database or Firebolt record.
Track your Azure SQL Database ⇄ Firebolt sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Firebolt.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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 Schemas and Rows and columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
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.
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.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Azure SQL Database and Firebolt.