Two-way sync
Changes in Azure SQL Database or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database and Cloudera Data Platform 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 Cloudera Data Platform, 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 Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into Azure SQL Database, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Cloudera Data Platform and keep Azure SQL Database focused on its operational workload.
Rows from Azure SQL Database land in Cloudera Data Platform as they change, replacing hand-built CDC and batch extract jobs.
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 | Cloudera Data Platform objects | |
|---|---|---|
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Views SQL views that can present curated, sync-ready projections of raw lake data. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Cloudera Data Platform connection.
Changes in Azure SQL Database or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database or Cloudera Data Platform 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 Cloudera Data Platform record.
Track your Azure SQL Database ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Cloudera Data Platform.
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 Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Rows and columns and Stored procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
Common patterns for Azure SQL Database and Cloudera Data Platform: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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. Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. Stacksync manages authentication, retries, and rate limits on both sides.
Cloudera Data Platform: Tables can live in multiple storage engines with different update semantics: Kudu and Iceberg tables support row-level updates, while classic Hive tables are append-oriented. Azure SQL Database: As a managed service, server-level features are constrained compared with a full SQL Server instance, so connectors authenticate to a logical server endpoint rather than an OS-level host. Stacksync's field mapping accounts for these differences between Azure SQL Database and Cloudera Data Platform 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 Cloudera Data Platform records are not retained after a sync operation.
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 Cloudera Data Platform.