Streamkap
Streaming ETL for Real-Time Data.
Overview
Streamkap is a real-time ETL platform that enables you to stream data from various sources to your data warehouse or data lake with sub-second latency. It uses Change Data Capture (CDC) to capture data changes as they happen, providing a continuous flow of data for real-time analytics and applications.
✨ Key Features
- Real-time streaming ETL
- Log-based Change Data Capture (CDC)
- Sub-second latency
- Automated schema evolution
- In-stream transformations
- Managed Kafka and Debezium
🎯 Key Differentiators
- Focus on real-time streaming ETL
- Managed Kafka and Debezium for ease of use
- Sub-second latency
Unique Value: Makes it easy to build and operate real-time streaming data pipelines without the complexity of managing your own Kafka and Debezium infrastructure.
🎯 Use Cases (4)
✅ Best For
- Powering real-time dashboards with live data from production databases.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Traditional batch ETL workloads that do not require real-time data.
🏆 Alternatives
Offers a more managed and user-friendly experience for real-time streaming ETL compared to self-hosting open-source components, and a more real-time focus than traditional batch ETL tools.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
📊 Market Info
Customers: 50-100
Total Funding: $7.5M
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