Zero Ops Data Streaming

Streamkap is the fastest way to build streaming applications
Power real-time AI & analytics with sub-second CDC & stream processing.
Kafka & Flink without the headaches

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See How SpotOn Cut Latency 4x

<250ms

Latency

Millions

Tables Synced

50+

Connectors

40x

Cost Savings

SOC 2 Type II

HIPAA Compliant

GDPR Ready

PCI DSS

Trusted by data teams at

CAPABILITIES

Everything You Need for Real-Time Data

Change Data Capture

Capture every database change in real-time with log-based CDC. No polling, minimal source impact.

Stream Processing

Transform, filter, and enrich data in-flight with SQL, Python, or JavaScript.

Monitoring & Alerts

Full observability with metrics, lag tracking, and custom alerts for production confidence.

Enterprise Security

SOC 2, HIPAA, GDPR compliant. Deploy in your cloud or ours with full data control.

Enterprise Scale

Proven at scale with millions of tables and multi-tenant architecture. One platform that grows with you.

CUSTOMER SUCCESS

SpotOn cut data latency from hours to milliseconds

4x

Faster than batch

66%

Cost savings

<250ms

Data latency

Read the full case study →

BUILT ON OPEN SOURCE

Proven Technology, Zero Ops

Streamkap combines Apache Kafka, Apache Flink, and Debezium into a fully managed platform. Get the power of open-source streaming without the operational burden.

Apache Kafka

Event streaming with exactly-once semantics

Debezium

High-performance change data capture

Apache Flink

Stateful stream processing

MySQL connector

MongoDB connector

Redis connector

PostgreSQL connector

INTEGRATIONS

CDC-Ready Connectors

Our source and destination database connectors are built for scale, reliability, and cost efficient real-time replication from PostgreSQL, MySQL, and MongoDB into BigQuery, Snowflake, Databricks, ClickHouse and more.

Learn more about all connectors

Snowflake connector

BigQuery connector

Databricks connector

ClickHouse connector

TESTIMONIALS

Why our customers love Streamkap

Great technology and a great team

Streamkap was 4x faster and had 3x lower total cost of ownership than our previous solution

Marcin Migda

Staff Data Engineer

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Streamkap provides that speed at a cheaper cost, and combined with the other tools, we can build and raise the sophistication of the work that we can deliver. Without Streamkap, that was very difficult. That's really what it comes down to.

Dai Renshaw

Head of Data

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Streamkap is a big part of our stack now because these data products that we're releasing heavily rely on the data that Streamkap is producing to Snowflake. If there's ever any issues, Streamkap can recover itself. Compared to our old tool, if one small thing happened, it would just completely break. On top of that, the cost that we have in Snowflake now for loading data on Streamkap is like next to nothing.

John Michael Mizerany

Senior Software Engineer

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The old pipeline had a lot of overhead. Our old data pipeline was not running in near real-time and was very limited in scope. As I got to know the Streamkap platform, I decided — we should implement it, full steam ahead. From that set-up and configuration perspective, I don't even think we spent even a day. Then we did a cost-benefit analysis, and cost-wise, it was just a no-brainer to move to Streamkap.

Vikram Chauhan

Head of Data Engineering

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The migration to Streamkap has resulted in clear and predictable billing, reducing unexpected costs. Success metrics include a 54% reduction in data-related costs. GCP Datastream lacked reliable support channels for issue resolution, but Streamkap provides prompt assistance through Slack, making it easy to consult and resolve problems quickly.

Kohei Hasegawa

CTO

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