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Episode

Episode 861 - Big Databases with OpenRiak

Podcast
FLOSS Weekly
Published
Jan 21, 2026
Duration seconds
3848
Processing state
processed
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Summary

Explore the evolution of OpenRiak, an Erlang-based NoSQL database that survived the bankruptcy of its original parent company. Learn how its architecture handles the CAP theorem and provides massive horizontal scalability.

Topics

  • OpenRiak
  • NoSQL
  • Erlang
  • CAP Theorem
  • Distributed Databases
  • Horizontal Scalability
  • Open Source Software
  • Key-Value Stores

Highlights

  • Main idea: OpenRiak is an Erlang-based NoSQL key-value store designed for high availability and massive scale
  • Technical trade-off: The database prioritizes availability and partition tolerance, navigating the constraints of the CAP theorem
  • Practical takeaway: Horizontal scalability is achieved by simply adding new nodes to the cluster to increase storage and throughput
  • Failure mode: While the system handles node failures via virtual nodes, heavy reliance on non-optimized queries like fuzzy matching can degrade performance
  • Historical context: The project transitioned to OpenRiak after the original company, Basho, underwent bankruptcy

Chapters

  1. 1:00 Introduction to OpenRiak: An introduction to the Erlang-based database and its distinction from the React JavaScript library.
  2. 6:00 The History of Basho and OpenRiak: The story of how the project survived the bankruptcy of Basho through IP acquisition.
  3. 15:40 CAP Theorem and Consistency: A deep dive into how OpenRriak handles consistency, availability, and network partitions.
  4. 25:30 Scalability and Throughput: Discussing the benefits of horizontal scaling and adding nodes to handle increased load.
  5. 30:10 Deployment and Installation: Practical advice on installing OpenRiak on Linux, Docker, and single-node development environments.
  6. 35:10 Resilience and Node Failure: How the cluster manages node outages and maintains operations through virtual nodes.
  7. 44:35 Internal Storage and LevelDB: A look at the role of LevelDB and community-driven improvements to the storage engine.