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Data warehouse

Exasol to Materialize integration — real-time, two-way sync

Keep Exasol and Materialize 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
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Exasol and Materialize

Keep tables consistent across Exasol and Materialize, 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 Exasol and Materialize 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 data from multiple operational databases into Exasol as the central analytics layer.
  • 02 Keep dimension tables such as customers and products aligned with the systems of record.
  • 03 Read computed view results back into a CRM or application database as derived fields.
  • 04 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.

Common sync patterns

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.

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.

What you can sync between Exasol and Materialize

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.

Exasol objects Materialize objects How this pairing syncs
Tables Primary sync target; columnar relational tables written with standard SQL. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. Indexes In-memory arrangements that make view reads fast for serving workloads. Virtual schemas is specific to Exasol and Indexes to Materialize — each maps to any object or custom field on the other side.
UDF scripts In-database functions that can transform synced data after load. Clusters Compute pools that isolate ingestion, view maintenance, and serving. UDF scripts is specific to Exasol and Clusters to Materialize — each maps to any object or custom field on the other side.
Users and roles Grant read/write access for the dedicated integration account. Connections & Secrets Stored credentials and endpoints used by sources and sinks. Users and roles is specific to Exasol and Connections & Secrets to Materialize — each maps to any object or custom field on the other side.
Schemas Namespaces that group the tables a sync reads from or writes into. Schemas & Databases Namespaces that organize objects a sync targets. Schemas is specific to Exasol and Schemas & Databases to Materialize — each maps to any object or custom field on the other side.
Views Read-only query surfaces often used as curated sources for reverse ETL. Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. Views is specific to Exasol and Sources to Materialize — each maps to any object or custom field on the other side.

How changes propagate between Exasol and Materialize

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.

Exasol Materialize 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 Materialize as a row-level write, with types converted between the two schemas.

Materialize Exasol Sub-second propagation

DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.

DeliveryEach detected change is applied to Exasol as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Exasol: No API quota; concurrency is bounded by cluster resources and session limits.
What ships with Exasol ⇄ Materialize

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Exasol or Materialize 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 Exasol or Materialize record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Exasol and Materialize connectors work

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

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

How to connect Exasol to Materialize — 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 Exasol and Materialize 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
    Exasol connected
    Materialize connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Exasol and Materialize 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 · Exasol ⇄ Materialize
    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
    Exasol Materialize
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Exasol and Materialize integration FAQ

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.

Learn more about security
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:

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 365 integrations available for Exasol and Materialize.

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