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

<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

CUSTOMER SUCCESS

SpotOn cut data latency from hours to milliseconds

4x
Faster than batch
66%
Cost savings
<250ms
Data latency
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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

SpotOn logo

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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Nala logo

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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Fleetio logo

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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Niche logo

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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Koheisan logo

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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