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Data warehouse

Apache Druid to Exasol integration — real-time, two-way sync

Keep Apache Druid 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.

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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Druid and Exasol

Keep tables consistent across Apache Druid 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 Apache Druid 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

  • Sync Druid query results into a warehouse to combine real-time aggregates with historical models.
  • Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • Sync computed metrics or customer segments from Exasol back into a CRM for sales and marketing use (reverse ETL).
  • Consolidate data from multiple operational databases into Exasol as the central analytics layer.

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.

Serve tools that only connect to one platform

Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.

Shared datasets across teams

Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.

What you can sync between Apache Druid 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.

Apache Druid objects Exasol objects
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Views Read-only query surfaces often used as curated sources for reverse ETL.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Virtual schemas Federated views over external sources; useful for deciding what needs physical replication.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. UDF scripts In-database functions that can transform synced data after load.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Users and roles Grant read/write access for the dedicated integration account.
Lookups Key-value mappings joined at query time, refreshable from external systems. Schemas Namespaces that group the tables a sync reads from or writes into.
Tasks Batch ingestion and compaction jobs monitored during data loads. Tables Primary sync target; columnar relational tables written with standard SQL.
What ships with Apache Druid ⇄ Exasol

Connect Apache Druid and Exasol for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Exasol connection.

Real-time

Two-way sync

Changes in Apache Druid or Exasol instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Exasol record.

Observability

Monitoring

Track your Apache Druid ⇄ Exasol sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Druid and Exasol.

How the Apache Druid and Exasol connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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.

  1. 01

    Connect your apps

    Authenticate Apache Druid 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Druid connected
    Exasol connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Druid ⇄ Exasol
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Druid Exasol
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and Exasol integration FAQ

SECURITY

Security teams love 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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Druid and Exasol.

Popular · 8 of 386
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