Two-way sync
Changes in Cloudera Data Platform or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between Cloudera Data Platform and Tinybird continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
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 | Tinybird objects | |
|---|---|---|
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Tokens Scoped credentials that control read and append rights per resource. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Tinybird connection.
Changes in Cloudera Data Platform or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Tinybird 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 Tinybird record.
Track your Cloudera Data Platform ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Tinybird.
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 Tinybird 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 Tinybird 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 Tinybird: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Impala tables and Kudu tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On Tinybird: Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Cloudera Data Platform side: Object store / HDFS files, Databases, Hive tables, Impala tables, plus custom fields where Cloudera Data Platform exposes them. On the Tinybird side: Pipes, API Endpoints, Materialized Views, Workspaces. 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.
Common patterns for Cloudera Data Platform and Tinybird: Serve tools that only connect to one platform; Shared datasets across teams; Consolidation after M&A. Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
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. Tinybird: REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect. Authentication: Scoped auth tokens. Stacksync manages authentication, retries, and rate limits on both sides.
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 Tinybird.