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Debezium & CDC pipelines

Every database change, streamed in real time.

Change data capture with Debezium or PeerDB: stream inserts, updates and deletes from Postgres, MySQL and MongoDB into Kafka, ClickHouse or your warehouse, without nightly batch jobs.

Book a call →Data platforms & DataOps →
DebeziumPeerDBKafka ConnectPostgresMySQL

Batch exports make analytics hours stale and hammer your production database. CDC reads the log instead, so data arrives in seconds with almost no load.

Dashboards a day behindBatch jobs load productionDeletes never reach the warehouseSchema changes break pipelines
What we do

Debezium & CDC pipelines, end to end.

Source setup

Logical replication, binlog or change streams configured safely on your databases.

Debezium on Kafka Connect

Connectors deployed, monitored and recoverable.

PeerDB for Postgres

Fast Postgres-to-ClickHouse replication where it fits better.

Schema evolution

Schema changes handled without breaking downstream tables.

Sinks

ClickHouse, warehouses, search and caches kept in sync.

Monitoring

Replication lag and slot health alerted before they hurt.

How it works

Three steps, no big-bang cut-over.

01

Assess

Sources, volumes and latency needs.

02

Build

CDC pipelines set up and backfilled.

03

Operate

Lag monitoring and recovery by your team or by us.

What you get

Deliverables you keep.

  • CDC architecture
  • Connector configuration as code
  • Initial backfill plan
  • Schema-evolution handling
  • Lag dashboards and alerts
  • Recovery runbooks
Stack

Tools we use here.

DebeziumPeerDBKafka ConnectPostgresMySQLMongoDBClickHouse
Ways to engage

Start small, or hand it all over.

fixed scope

Assess

Read-only review, ranked plan in 5 days.

fixed fee

Build & hand over

Built in your account, then handed to your team.

monthly

Fully managed

We run it end to end, with an SLA.

monthly

Support

Senior help for your engineers.

FAQ

Questions about Debezium & CDC pipelines.

Will CDC slow down our production database?

Barely. CDC reads the transaction log rather than running queries against your tables.

Debezium or PeerDB?

Debezium for broad source support and Kafka-based pipelines; PeerDB for fast Postgres-to-ClickHouse replication. We often use both.

How are deletes handled?

They are captured as events and applied downstream, so your warehouse matches the source.

What happens if a connector stops?

It resumes from its saved position; monitoring alerts us before replication slots grow dangerously.

Expertise

Related expertise

Data platforms & DataOps

Managed Kafka

Kafka consulting and managed Kafka operations.

Read more →Data platforms & DataOps

Managed ClickHouse

ClickHouse consulting and managed ClickHouse operations.

Read more →Data platforms & DataOps

Database management

Database management for PostgreSQL, MySQL, MongoDB and Redis.

Read more →

Let's look at your setup.

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