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Apache Kafka

by Apache Software Foundation
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorApache Software Foundation
Year launchedN/A
StatusActive
LocationLocation Address: 1999 Harrison St #1750, Oakland, CA 94612, United States
Countries servedGlobal
Languages1
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesNO

About Apache Kafka

Apache Kafka is a core infrastructure for modern enterprises. It decouples data producers from consumers, allowing information to flow seamlessly and reliably across a company.

Apache Kafka is a core infrastructure for modern enterprises. It decouples data producers from consumers, allowing information to flow seamlessly and reliably across a company. For a Technical Product Manager or Data Architect, its value lies in reliability and agility—it provides a strong foundation for building real-time applications and data-driven products. While complex to master, it remains the standard for high-volume event streaming.

Pros & Cons

Pros
  • As open-source software, it eliminates high licensing fees for the core platform.
  • Enables immediate action on data as it happens.
  • Thousands of community-built connectors and tools are available.
Cons
  • Requires specialized tools to track cluster health and message lag.
  • Needs significant RAM and Disk I/O to perform at peak capacity.
  • Setting up and managing a large cluster requires high technical expertise.

Features

Key features

Low Latency

Delivers data with millisecond-range latency, suitable for real-time applications.

Durability

Events are written to disk and can be stored for long periods (even indefinitely).

Fault Tolerance

Data is replicated across multiple nodes to prevent loss in case of hardware failure.

Scalability

Clusters can be scaled elastically by adding more nodes without downtime.

High Throughput

Designed to handle millions of messages per second with minimal hardware resources.

Additional features

Schema Registry Support

Ensures data quality by enforcing schemas (AVRO/JSON) on messages.

Replication

Automated copying of data across different "brokers" for high availability.

Log Compaction

Keeps only the latest value for a specific key, saving storage for state-based data.

Role-Based Access Control (RBAC)

Fine-grained security for managing who can produce or consume data.

Tiered Storage

Separates compute from storage, allowing historical data to be moved to cheaper cloud storage.

KRaft Mode

A consensus protocol that removes the dependency on ZooKeeper for cluster management.

Exact-Once Semantics

Ensures that data is processed exactly once, even during system failures.

Kafka Streams

A client library for building real-time stream processing applications.

Kafka Connect

A framework for connecting Kafka with external systems like databases and file systems.

Pub/Sub Messaging

Allows applications to publish and subscribe to streams of records.

Pricing

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Countries & Languages

Global
Countries served
1
Interface languages
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Interface languages

English

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