Apache Kafka
4.5
Description
Apache Kafka is a distributed, fault-tolerant streaming platform designed for building real-time data pipelines and streaming applications. It enables organizations to publish, subscribe to, store, and process streams of records in a scalable ...
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Use Cases
Key Features
- Real-Time Notifications
- Dashboard
- API
- Cloud Data Integration
- Pre-built Connectors
- Data Mapping
Made For
Industries
- Financial Services
- Retail
- Technology
- Healthcare
- Manufacturing
Customer Segments
- Small Businesses
- Mid-size Businesses
- Large Enterprises
Supported Platforms
- Web
Pros
- High Throughput: Kafka can handle massive volumes of data with low latency.
- Scalability: Easily scale the system by adding more brokers to the cluster.
- Fault Tolerance: Data replication ensures high availability and data durability.
Cons
- Operational Complexity: Managing a Kafka cluster can be complex, requiring specialized expertise.
- ZooKeeper Dependency: Older versions rely on ZooKeeper, which adds another layer of complexity (though this is being addressed).
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Current average rating is based on research conducted at Exafol