Real-time
Two-way sync
Changes in Azure Cosmos DB or Firebolt instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Azure Cosmos DB to Firebolt integration — real-time, two-way sync
Keep Azure Cosmos DB 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Azure Cosmos DB and Firebolt
Connect Azure Cosmos DB 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 Cosmos DB'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 Cosmos DB 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 Cosmos DB sync into Firebolt in real time, and result tables in Firebolt sync back into Azure Cosmos DB, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Sync aggregated results from Firebolt back to operational tools that need computed metrics (reverse ETL).
- 02 Sync CRM objects into Firebolt so customer-facing dashboards reflect recent pipeline changes.
- 03 Two-way sync between a Cosmos DB-backed product catalog and a PIM or commerce platform.
- 04 Consolidate documents from multiple containers into a single reporting store.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Azure Cosmos DB 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 Cosmos DB, 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 Cosmos DB 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 Cosmos DB objects | Firebolt objects | How this pairing syncs | |
|---|---|---|---|
| Databases Top-level namespaces that scope containers and throughput provisioning. | Databases Logical containers holding the tables a sync targets. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | Views Curated query surfaces commonly used as sources for reverse ETL. | Stored procedures and triggers is specific to Azure Cosmos DB and Views to Firebolt — each maps to any object or custom field on the other side. | |
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. | Containers is specific to Azure Cosmos DB and Aggregating indexes to Firebolt — each maps to any object or custom field on the other side. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Engines Compute resources that must be running for a sync to read or write. | Items (JSON documents) is specific to Azure Cosmos DB and Engines to Firebolt — each maps to any object or custom field on the other side. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Tables Managed columnar tables written with SQL; the main sync destination. | Partition keys is specific to Azure Cosmos DB and Tables to Firebolt — each maps to any object or custom field on the other side. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | External tables References to files in object storage used to stage bulk loads. | Change feed entries is specific to Azure Cosmos DB and External tables to Firebolt — each maps to any object or custom field on the other side. |
How changes propagate between Azure Cosmos DB 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 Cosmos DB Firebolt Sub-second propagation
DetectionChanges in Azure Cosmos DB are captured at the source via change data capture — no polling loop against its API. Built-in change feed exposing inserts and updates in order within each partition key range.
DeliveryEach detected change is applied to Firebolt as a row-level write, with types converted between the two schemas.
Firebolt Azure Cosmos DB 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 Cosmos DB 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 Cosmos DB ⇄ Firebolt
Connect Azure Cosmos DB and Firebolt for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Firebolt connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Cosmos DB 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 Cosmos DB or Firebolt record.
Observability
Monitoring
Track your Azure Cosmos DB ⇄ 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 Cosmos DB and Firebolt.
How the Azure Cosmos DB and Firebolt connectors work
Azure Cosmos DB
- Integration surface
- REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces
- Authentication
- Account keys, resource tokens, or Microsoft Entra ID role-based access
- Change detection
- Built-in change feed exposing inserts and updates in order within each partition key range
- 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 Cosmos DB 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 Cosmos DB 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 Cosmos DB
connected
Firebolt
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Cosmos DB 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 Cosmos DB ⇄ 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 Cosmos DB FireboltCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Cosmos DB and Firebolt integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Cosmos DB and Firebolt: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Databases and Stored procedures and triggers), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Cosmos DB and Firebolt connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Cosmos DB–Firebolt integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Azure Cosmos DB and Firebolt. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Azure Cosmos DB: Built-in change feed exposing inserts and updates in order within each partition key range. On Firebolt: Polling; Firebolt is an analytics destination and does not expose a change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Firebolt side: Aggregating indexes, Engines, Databases, Tables, plus custom fields where Firebolt exposes them. On the Azure Cosmos DB side: Databases, Containers, Items (JSON documents), Partition keys. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
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 375 integrations available for Azure Cosmos DB and Firebolt.
Popular · 3 of 375
No integrations match .
