The JusDB Database Engineering Blog

ClickHouse Cloud is convenient but can cost 3-5x more than a well-tuned self-hosted cluster at scale. This breakdown shows exactly where the cost lines cross.

Two years after the Elastic license change, Elasticsearch and OpenSearch have diverged significantly. Both are mature forks but the right choice depends on your use case, vendor lock-in tolerance, and team expertise.

A detailed comparison of ClickHouse and BigQuery for analytical workloads — MergeTree engine vs Capacitor storage, self-hosted vs serverless cost models, query latency, real-time ingestion, and when to choose each.

TiDB 8.0 is the most production-ready version of the distributed SQL database yet. With improved HTAP, stronger MySQL compatibility, and Resource Groups, it's compelling for teams outgrowing single-node MySQL.

Compare Snowflake, ClickHouse, and BigQuery on performance, cost, ecosystem, and real-world use cases

Use Apache Flink CDC to capture MySQL and PostgreSQL changes — stateful processing, exactly-once semantics, and Kubernetes deployment

Use pgvector for exact and approximate similarity search, relational filters, and hybrid retrieval while measuring recall, latency, storage, and write cost.

Add data quality checks to your pipeline — row count validation, schema drift detection, and anomaly alerting with Great Expectations

Compare streaming and batch data processing — latency, throughput, tooling, and when each approach makes sense

Use Neo4j for relationship-heavy data — Cypher query language, graph algorithms, and fraud detection use cases

Use Spark with JDBC to read from and write to relational databases — partition strategies, predicate pushdown, and write modes

Replicate OLTP databases to analytical warehouses — CDC, bulk load, incremental sync, and schema evolution handling