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Kaskada Documentation

    • Overview
      • What Is Kaskada?
      • Frequently Asked Questions
    • Getting Started
      • Hello World (Jupyter)
      • Hello World (CLI)
    • Installing
      • Locally
      • In Kubernetes with Helm
    • Loading Data
    • Examples
      • Overview ↪
      • Real-time ML ↪
      • Customer Retention ↪
      • Materializing to Pulsar ↪
    • Reference
      • Tables
      • Queries
      • Slices
      • Views
      • Materializations
      • Spec Files
      • Python client ↪
      • Fenlmagic client ↪
      • Protobuf API ↪
    • Integrations
      • Apache Pulsar
      • Apache Cassandra
      • Redis
      • AWS Redshift
      • Snowflake
    • Tools and Resources
      • Training real-time ML models
      • Example Modeling Problem
      • Remote Session (Python)
    • Query Syntax (Fenl)
      • Introduction
      • Data Model
      • Syntax
      • Enities
      • Temporal Computation
      • Aggregation and Windowing
      • Continuity
      • Function Catalog
      • Fenl FAQ
      • Working with Records
      • Fenl Diagnostic Error Codes
    • Troubleshooting
      • Engine and manager logs
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Integrating with Apache Cassandra

Cassandra is a open source NoSQL distributed database that provides linear scalability and low-latency query results.

Writing to Cassandra

Feature values can be written to Cassandra in real-time via Pulsar. First, materialize features into Pulsar. Next use the Cassandra sink connector to pull messages from Pulsar into Cassandra.

Apache Pulsar Redis
© 2023 Kaskada Project Authors | Kaskada is an open source project and all source code is distributed under the Apache v2.0 license