Database Insights

Compare Pinot, ClickHouse, and Druid for real-time analytics — ingestion latency, query patterns, and operational cost

Understand Apache Pinot internals — segment lifecycle, StarTree indexes, broker routing, and controller operations

Compare SeaTunnel, Debezium, and Apache Flink CDC — connector coverage, fault tolerance, latency, and operational complexity

Use Apache SeaTunnel for CDC and batch ingestion — Zeta engine, 100+ connectors, exactly-once semantics, and Kubernetes deployment

Tune Valkey for production — memory policies, AOF/RDB persistence, cluster rebalancing, and latency monitoring

Compare Valkey and Redis 8 after the license split — command compatibility, cluster behavior, and how to migrate

Design schemas for LLM apps — conversation history, embedding metadata, prompt versioning, and feedback loops

Store model metrics, feature stores, and inference logs with TimescaleDB, InfluxDB, and QuestDB

Use Neo4j and graph databases for AI knowledge graphs — entity extraction, relationship storage, and RAG augmentation

Monitor pgvector query performance — index hit rates, slow similarity searches, HNSW vs IVFFlat trade-offs

Evaluate AI-native databases for ML workloads — vector search, hybrid queries, and integration with LLM frameworks

Use Apache Pinot for sub-second OLAP — StarTree indexes, Kafka ingestion, tenant isolation, and query latency at scale