Apache Kafka

Apache Kafka

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Event Streaming

Distributed event streaming platform for high-performance data pipelines.

Open Source employees
Open Source Project
Founded 2011
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Product Overview

Apache Kafka

Apache Kafka is an open-source distributed event streaming platform used for building real-time data pipelines and streaming applications. It provides high-throughput, fault-tolerant publish-subscribe messaging system capable of handling trillions of events per day.

Unique Value Proposition

Apache Kafka provides a unified, high-throughput, low-latency platform for handling real-time data feeds at massive scale. Its distributed architecture ensures zero data loss with strong durability guarantees while maintaining horizontal scalability to handle millions of messages per second.

Categories

Event Stream Processing
Message Queue
Data Integration

Target Market

Industries

Technology
Financial Services
E-commerce
Telecommunications
Media & Entertainment
IoT

Company Size

500 - 50000 employees

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Pricing Information

Pricing Model

open_source

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Key Features

High Throughput Messaging
Horizontal Scalability
Fault Tolerance
Durability Guarantees
Exactly-Once Semantics
Stream Processing (Kafka Streams)
Connect Framework
Schema Registry
Topic Partitioning
Consumer Groups
Log Compaction
Message Compression
Replication
Multi-datacenter Replication
Transaction Support
Quotas and Throttling
Access Control Lists
Monitoring Metrics

Integrations

Apache Spark
Apache Flink
Apache Storm
Elasticsearch
Apache Cassandra
MongoDB
PostgreSQL
MySQL
Amazon S3
HDFS
Snowflake
Databricks
Redis
Apache HBase
Confluent Platform
Kubernetes
Docker
Prometheus
Grafana
DataDog
API Available
View Docs

Security Features

SSL/TLS Encryption
SASL Authentication
Access Control Lists (ACLs)
Kerberos Support
OAuth Support
Encryption at Rest
Encryption in Transit
Audit Logging

Implementation & Support

Implementation Time

7 weeks (45 days)

Deployment Options

Cloud
On-Premise
Hybrid

Support Hours

Community Support