InfoQ Homepage NoSQL Content on InfoQ
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Stripe’s Docdb: How Zero-Downtime Data Movement Powers Trillion-Dollar Payment Processing
Jimmy Morzaria explains how Stripe scales its MongoDB infrastructure to process $1.4 trillion in payments. He shares the engineering behind their zero-downtime data movement platform and DocDB.
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Reimagining Platform Engagement with Graph Neural Networks
Mariia Bulycheva explains how Zalando utilized Graph Neural Networks to move beyond tabular data, modeling higher-order user-item interactions to optimize long-term engagement and click probability.
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Open Source, Community, and Consequence: the Story of MongoDB
Andrew Davidson and Akshat Vig share the "MongoDB Way", discussing how to disrupt a 50-year database legacy by leveraging the document model, community trust, and rapid, public iteration.
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Chatting with Your Knowledge Graph
Jonathan Lowe discusses how to enable an LLM to chat with a structured graph database. He explains the process of using semantic search and knowledge graphs to answer natural language questions.
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LIquid: a Large-Scale Relational Graph Database
Scott Meyer discusses LIquid, the graph database built to host LinkedIn, serving a ~15Tb graph at ~2M QPS.
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Amazon DynamoDB Distributed Transactions at Scale
Akshat Vig explains how transactions were added to Amazon DynamoDB using a timestamp-based ordering protocol to achieve low latency for both transactional and non-transactional operations.
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Amazon DynamoDB: Evolution of a Hyperscale Cloud Database Service
Akshat Vig presents Amazon’s experience operating DynamoDB at scale and how the architecture continues to evolve to meet the ever-increasing demands of customer workloads.
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Change Data Capture for Distributed Databases @Netflix
Raghuram Onti Srinivasan covers the challenges associated with capturing CDC events from Cassandra, discussing the Flink ecosystem and the use of RocksDB.
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Turnkey Multi-Region, Active-Active Session Stores with Steeltoe, Redis Enterprise, and PAS
Adi Foulger provides insights into the Redis Enterprise architecture and demos active/active Redis clusters across two geo-distributed Pivotal Platform foundations.
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Anti-Entropy Using CRDTs on HA Datastores @Netflix
Sailesh Mukil briefly introduces Dynomite, offers a deep dive on how anti-entropy is implemented and talks about the underlying principles of CRDTs that make this possible.
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Event-Driven Java Applications with Redis 5.0 Streams
Mark Paluch takes a look at how to integrate Redis streams into applications, and how to consume and produce messages to build a message-oriented Java application with Redis the Spring way.
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Choosing Kubernetes: Managing Risk in Cloud Infrastructure
Ben Butler-Cole talks about Neo4j’s use of Kubernetes as a foundation for their stateful service: why they chose it and how they handled the risks associated with that choice.
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