The startup operates a serverless cloud platform that enables businesses to create real-time data pipelines using Change Data Capture (CDC) for sub-second streaming. Its no-code setup ensures scalability and fault tolerance while providing predictable pricing, allowing companies to efficiently stream data from databases.
Funding
$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional batch ETL processes struggle to keep pace with the demands of real-time analytics and applications, resulting in stale data and delayed insights. Managing complex streaming infrastructure based on Apache Kafka and Flink adds operational overhead and complexity.
Solution
Streamkap provides a serverless, real-time data integration platform that enables businesses to create data pipelines with sub-second latency using Change Data Capture (CDC). The platform automates schema drift handling, data normalization, and updates, eliminating the need for manual coding and maintenance. Streamkap offers a range of pre-built, no-code connectors for popular databases and data warehouses, facilitating seamless data movement. Users can also transform data on the fly using Python and SQL, enabling hashing, masking, aggregations, and joins.
Target Audience
Streamkap targets data engineers, data scientists, and analytics teams who need real-time data pipelines for applications such as fraud detection, live operations dashboards, and real-time analytics.
Features
- Automated Change Data Capture (CDC) for real-time data replication with minimal impact on source databases
- Dozens of pre-built, no-code source and destination connectors for databases like PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, and Databricks
- Python and SQL-based transformations for data hashing, masking, aggregation, and joins
- Automated schema drift handling and updates to maintain data pipeline integrity
- Support for various connection options, including SSH tunnels, AWS PrivateLink, and VPN
- Real-time monitoring and alerting to ensure pipeline health and data delivery
- Integration with Apache Kafka and Flink for scalable and reliable data streaming
- SOC 2 Type 2 certification, HIPAA and GDPR/CCPA compliance, with data encryption at rest