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Data Platforms Documentation

This documentation provides comprehensive guides and references for distributed data platforms. Whether operating existing clusters or evaluating new deployments, these resources cover architecture, configuration, operations, and best practices.

Apache Cassandra®

Apache Cassandra is a distributed NoSQL database designed for scalability and high availability. It handles large volumes of data across commodity hardware while providing continuous availability with no single point of failure.

Key Characteristics:

  • Masterless architecture with peer-to-peer replication
  • Linear horizontal scalability
  • Tunable consistency levels per operation
  • Multi-datacenter replication built in
  • Optimized for write-heavy workloads

View Apache Cassandra Documentation

Apache Kafka®

Apache Kafka is a distributed event streaming platform capable of handling trillions of events per day. It provides high-throughput, fault-tolerant messaging with strong ordering guarantees.

Key Characteristics:

  • Distributed commit log architecture
  • High-throughput publish-subscribe messaging
  • Durable message storage with configurable retention
  • Stream processing capabilities
  • Horizontal scalability through partitioning

View Apache Kafka Documentation

Choosing a Platform

Use Case Recommended Platform
High-volume data storage with flexible queries Apache Cassandra
Real-time event streaming and messaging Apache Kafka
Time-series data with high write throughput Apache Cassandra
Event sourcing and log aggregation Apache Kafka
Multi-datacenter data replication Both

About This Documentation

This documentation is maintained by AxonOps, providing monitoring, maintenance, and operational tools for distributed data platforms.