Two-way sync
Changes in Cloudera Data Platform or Firebolt instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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.
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 Firebolt 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 | Firebolt objects | |
|---|---|---|
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Views Curated query surfaces commonly used as sources for reverse ETL. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Engines Compute resources that must be running for a sync to read or write. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Databases Logical containers holding the tables a sync targets. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Tables Managed columnar tables written with SQL; the main sync destination. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | External tables References to files in object storage used to stage bulk loads. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Firebolt connection.
Changes in Cloudera Data Platform or Firebolt instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Firebolt record.
Track your Cloudera Data Platform ⇄ Firebolt sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform and Firebolt: 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.
Common patterns for Cloudera Data Platform and Firebolt: 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. 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.
Cloudera Data Platform: Access is commonly brokered by Apache Knox and secured with Kerberos or LDAP, which integration tooling must support. Firebolt: Bulk ingestion is file-based from object storage (for example COPY FROM against S3), which favors batched sync writes over row-by-row inserts. Stacksync's field mapping accounts for these differences between Cloudera Data Platform 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 Cloudera Data Platform and Firebolt 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 Firebolt connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–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 Cloudera Data Platform and Firebolt.