Streaming ETL in minutes
Streamkap is streaming ETL and change data capture built on Apache Kafka and Flink. Sub-second latency, easy to use, zero maintenance.
Trusted by teams at
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WHY STREAMKAP
Replace batch ETL with streaming in minutes
Move data with sub-second latency using change data capture (CDC) for minimal impact on the source database and real-time updates.
Connect your data sources and move data to your target destinations with our automated, reliable and scalable data movement platform:
- Dozens of pre-built, no-code source connectors
- Automated schema drift handling, updates, data normalization and more
- High performance change data capture for efficient and low impact data movement
Streaming transformations power faster, cheaper, more rich data pipelines:
- Python and SQL transformations
- Common use cases include:
- Hashing, masking, aggregations, joins, unnesting JSON and more!
Want to move to streaming event driven architecture but not ready to manage lower level systems like Apache Kafka and Flink?
- Start with out of the box use cases like CDC
- Expand to writing to or reading from Streamkap's Kafka without any of the headaches
- Transform event data, merge with database data and more!
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As easy as Fivetran but 15x faster and 3x lower cost
Realtime
Sub-second latency
3x Cheaper
Lower total cost of ownership
SET IT UP
The easiest way to stream data in real-time
Connect Source
Authenticate your source database and choose the tables you want to sync
Connect Destination
Connect your destination account, Snowflake, Databricks, BigQuery and more with just a few clicks
Create Pipeline
Connect your source and destination to get data moving with sub-second latency
Setup in minutes
All you need is your source and destination database credentials to get data moving
Automatic Scaling
Streamkap scales automatically to handle data at any scale with flexible retention
Monitoring and Alerting
Power your production workloads with confidence that your pipelines are healthy and you'll know if there is an issue
Flexible and Predictable Costs
Get started with flexible plans and lock-in predictability when you're ready
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 and more.
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
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.
Head of Data
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,
Senior Software Engineer
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.
Head of Data Engineering
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.
CTO
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