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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 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 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


Use CaseRecommended Platform
High-volume data storage with flexible queriesApache Cassandra
Real-time event streaming and messagingApache Kafka
Time-series data with high write throughputApache Cassandra
Event sourcing and log aggregationApache Kafka
Multi-datacenter data replicationBoth

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