Change data capture · Streamkap

Streamkap

Managed streaming CDC platform that replicates database changes to warehouses and lakes in under a second.

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Streamkap is a managed change-data-capture platform aimed at teams that need database changes reflected downstream in near real time rather than on a batch schedule. It captures inserts, updates and deletes from source databases as a continuous stream and lands them directly in destinations such as Snowflake, BigQuery, Apache Iceberg and Delta Lake, with the vendor citing P99 latency under 250ms from source to destination. Transformations can be written in SQL, Python (via PyFlink) or TypeScript, and pipelines can be managed as code through a CLI and Terraform provider, with lag tracking, lineage and alerting built in for operational visibility. It is a fully managed cloud service; a bring-your-own-cloud option is offered on higher tiers for teams that need data to stay inside their own environment.

At a glance

Vendor Streamkap
Pricing model Usage-based
Free tier Yes
Deployment Cloud
Open source No
Best for Data teams needing sub-second CDC into a warehouse or lake without running their own streaming infrastructure.

Pricing

Tiered plans priced on monthly data volume, with a free discovery tier and per-GB overage charges above included volume.

Plan Price Notes
Free $0 500MB/month, 50 topic/table cap, pipelines pause after a week of inactivity, for discovery and pilots
Starter $250/month 1GB base with a 30GB monthly cap, 100 topic/table limit, 5GB free backfill, for prototyping
Scale $2,100/month ($1,750/month billed annually) 150GB included, no monthly volume cap, 99.9% SLA, BYOC available, for production workloads
Enterprise Custom quote Unlimited volume, 99.99% SLA, HIPAA and PCI DSS compliance, for regulated industries

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Log-based CDC with sub-second to low-second latency
  • Direct streaming to Iceberg, Delta Lake, Snowflake and BigQuery
  • SQL, PyFlink and TypeScript transformations
  • Pipelines managed as code via CLI and Terraform
  • Built-in lag tracking, lineage and alerting
  • Bring-your-own-cloud deployment on higher tiers

Integrations

Profile last reviewed September 21, 2026

Alternatives

Decodable Fully managed stream-processing platform built on Apache Flink and Debezium for CDC pipelines and real-time transformation. Artie Managed real-time data replication that streams row-level database changes to a warehouse with sub-minute latency. Maxwell's Daemon Open-source application that reads MySQL binlogs and writes each change as JSON to Kafka, Kinesis or similar streams.

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Terms to know

Change data capture (CDC) A technique for detecting and streaming only the rows that changed in a source system, instead of reloading everything. Data pipeline The automated sequence of steps that moves data from source systems to a destination, transforming it along the way. Apache Iceberg An open table format adding ACID transactions, schema evolution, and time travel to files stored in a data lake.

Related guides

How to choose a change data capture tool Pick CDC by how it reads the source log, who has to operate it, and whether you actually need sub-second delivery or just a fresh warehouse table.