Real-time
Two-way sync
Changes in Cloudera Data Platform or Exasol instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Cloudera Data Platform to Exasol integration — real-time, two-way sync
Keep Cloudera Data Platform and Exasol 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 Cloudera Data Platform and Exasol
Keep tables consistent across Cloudera Data Platform and Exasol, for a migration, a multi-warehouse stack, or a dataset two platforms both need.
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 Exasol 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.
Common use cases
- 01 Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.
- 02 Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
- 03 Sync computed metrics or customer segments from Exasol back into a CRM for sales and marketing use (reverse ETL).
- 04 Consolidate data from multiple operational databases into Exasol as the central analytics layer.
Common sync patterns
Shared datasets across teams
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
Consolidation after M&A
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
Migration without a big bang
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
What you can sync between Cloudera Data Platform and Exasol
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 | Exasol objects | How this pairing syncs | |
|---|---|---|---|
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Views Read-only query surfaces often used as curated sources for reverse ETL. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | UDF scripts In-database functions that can transform synced data after load. | Iceberg tables is specific to Cloudera Data Platform and UDF scripts to Exasol — each maps to any object or custom field on the other side. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Users and roles Grant read/write access for the dedicated integration account. | Partitions is specific to Cloudera Data Platform and Users and roles to Exasol — each maps to any object or custom field on the other side. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Schemas Namespaces that group the tables a sync reads from or writes into. | Object store / HDFS files is specific to Cloudera Data Platform and Schemas to Exasol — each maps to any object or custom field on the other side. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Tables Primary sync target; columnar relational tables written with standard SQL. | Databases is specific to Cloudera Data Platform and Tables to Exasol — each maps to any object or custom field on the other side. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. | Hive tables is specific to Cloudera Data Platform and Virtual schemas to Exasol — each maps to any object or custom field on the other side. |
How changes propagate between Cloudera Data Platform and Exasol
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.
Cloudera Data Platform Exasol Interval-based propagation
DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
DeliveryEach detected change is applied to Exasol as a row-level write, with types converted between the two schemas.
Exasol Cloudera Data Platform Interval-based propagation
DetectionStacksync polls Exasol for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key columns.
DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Cloudera Data Platform: Constrained by cluster capacity and admission control rather than API rate limits.
- Exasol: No API quota; concurrency is bounded by cluster resources and session limits.
What ships with Cloudera Data Platform ⇄ Exasol
Connect Cloudera Data Platform and Exasol for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Exasol connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Cloudera Data Platform or Exasol 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 Cloudera Data Platform or Exasol record.
Observability
Monitoring
Track your Cloudera Data Platform ⇄ Exasol sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Exasol.
How the Cloudera Data Platform and Exasol connectors work
Cloudera Data Platform
- Integration surface
- 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
- Change detection
- Polling via SQL on timestamp or partition columns; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Constrained by cluster capacity and admission control rather than API rate limits
Exasol
- Integration surface
- SQL over JDBC/ODBC drivers and a WebSocket-based client protocol
- Authentication
- Database credentials (username and password)
- Change detection
- Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients
- Capabilities
- read · write
- Rate limits
- No API quota; concurrency is bounded by cluster resources and session limits
How it works
How to connect Cloudera Data Platform to Exasol — 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 Cloudera Data Platform and Exasol with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Cloudera Data Platform
connected
Exasol
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Cloudera Data Platform and Exasol 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 · Cloudera Data Platform ⇄ ExasolCustomers 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.
Cloudera Data Platform ExasolCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Cloudera Data Platform and Exasol integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Cloudera Data Platform and Exasol: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Views and Iceberg tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Exasol records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and Exasol connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–Exasol integration in-house.
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Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Exasol. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On Exasol: Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Cloudera Data Platform side: Partitions, Object store / HDFS files, Databases, Hive tables, plus custom fields where Cloudera Data Platform exposes them. On the Exasol side: Views, Virtual schemas, UDF scripts, Users and roles. Stacksync auto-detects both schemas and converts types between the two systems.
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
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