Two-way sync
Changes in Cloudera Data Platform or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want SQL Server'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 SQL Server where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in SQL Server sync into Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into SQL Server, 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 SQL Server focused on its operational workload.
Rows from SQL Server 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.
| Cloudera Data Platform objects | SQL Server objects | |
|---|---|---|
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Tables The primary sync target; rows map to records in connected systems. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Views Read-side projections used as outbound sync sources. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Columns Field-level mapping targets with T-SQL types. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Stored Procedures T-SQL logic that can validate or post-process synced rows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–SQL Server connection.
Changes in Cloudera Data Platform or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or SQL Server record.
Track your Cloudera Data Platform ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and SQL Server.
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 Cloudera Data Platform 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.
Pick the Cloudera Data Platform 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.
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 Cloudera Data Platform and SQL Server: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Views and Partitions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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. SQL Server: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Cloudera Data Platform: Access is commonly brokered by Apache Knox and secured with Kerberos or LDAP, which integration tooling must support. SQL Server: Native Change Data Capture reads inserts, updates, and deletes from the transaction log into change tables without touching application code. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and SQL Server 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 Cloudera Data Platform and SQL Server records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and SQL Server connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–SQL Server integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and SQL Server. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Cloudera Data Platform and SQL Server.