InfoQ Homepage Database Content on InfoQ
-
Vector Sync Patterns: Keeping AI Features Fresh When Your Data Changes
Ricardo Ferreira discusses five advanced Vector Sync Patterns to tackle multi-dimensional vector staleness & integration challenges in modern AI/microservices architectures.
/presentations/ai-vector-event-driven/en/mediumimage/ricardo-ferreira-medium-1761031045844.jpg)
-
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.
/presentations/llm-graph-database/en/mediumimage/jonathan-lowe-medium-1756898332000.jpg)
-
Rust: a Productive Language for Writing Database Applications
Carl Lerche discusses Rust's potential for higher-level applications & shares productivity tips.
/presentations/rust-database/en/mediumimage/carl-lerche-medium-1748590141360.jpg)
-
Ultra-Fast In-Memory Database Applications with Java
Markus Kett shares how to build the fastest database applications using Java & EclipseStore, bypassing traditional database limitations.
/presentations/eclipse-store/en/mediumimage/markus-kett-medium-1744788360662.jpg)
-
Optimizing Search at Uber Eats
Janani Narayanan and Karthik Ramasamy share Uber Eats' backend scaling journey for nX merchant growth, tackling latency with infra & indexing optimizations.
/presentations/optimization-search-uber/en/mediumimage/janani-narayanan-karthik-ramasamy-medium-1744714765825.jpeg)
-
Rockset - Building a Modern Analytics Database on Top of RocksDB
Igor Canadi discusses building a real-time search analytics database on RocksDB, covering cloud-native design, replication, shared storage, and analytics.
/presentations/rockset/en/mediumimage/igor-canadi-medium-1742296674079.jpeg)
-
OpenSearch Cluster Topologies for Cost Saving Autoscaling
Tech lead Amitai Stern shares insights on OpenSearch autoscaling, covering common pitfalls and innovative architectural approaches.
/presentations/opensearch-scaling/en/mediumimage/amitai-stern-medium-1742918510219.jpeg)
-
Powering User Experiences with Streaming Dataflow
Alana Marzoev discusses the fundamentals of streaming dataflow and the architecture of ReadySet, a streaming dataflow system designed specifically for operational workloads.
/presentations/readyset-dataflow/en/mediumimage/alana-marzoev-medium-1738316345388.jpeg)
-
High Performance Time - Series Database Design with QuestDB
Vlad Ilyushchenko discusses geographical data distribution, simplifying data pipelines with HA writes, data visualization with SQL extensions, and providing data scientists with scalable data access.
/presentations/questdb/en/mediumimage/Vlad-Ilyushchenko-medium-1734682993196.jpg)
-
Why a Hedge Fund Built Its Own Database
James Munro discusses ArcticDB and the practicalities of building a performant time-series datastore and why transactions, particularly the Isolation in ACID, is just not worth it.
/presentations/arcticdb/en/mediumimage/JamesMunro-medium-1719922948649.jpg)
-
Lessons Learned from Building LinkedIn’s AI Data Platform
Felix GV provides an overview of LinkedIn’s AI ecosystem, then discusses the data platform underneath it: an open source database called Venice.
/presentations/ai-venice/en/mediumimage/FelixGV-medium-1717061499976.jpeg)
-
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.
/presentations/liquid-graph/en/mediumimage/ScottMeyer-medium-1716451852205.jpg)