Delta Lake 4.4 vs 4.3: The Spark 4.2 Upgrade Trap
Delta Lake 4.4 defaults to Spark 4.2 and breaks delta-iceberg compatibility. What changes with identity columns, VOID types, and Unity Catalog metric views.
Apache Spark 4.2 vs 4.1: CDC, Geospatial and Arrow-by-Default Risks
Spark 4.2 adds a SQL CHANGES clause, GEOMETRY/GEOGRAPHY types and Arrow Python UDFs by default. What changed from 4.1 and what breaks on upgrade.
Flink 2.2 ML_PREDICT and VECTOR_SEARCH: Running Model Inference Inside a Stream
Flink 2.2 adds VECTOR_SEARCH and Table API ML_PREDICT for in-stream inference. How they work, where they break, and when to keep inference outside.
Apache Iceberg v4 vs v3 in 2026: Root Manifests, Single-File Commits, and What to Decide Now
Iceberg v4 is unreleased but partly ratified. What changed in 2026, how v4 differs from v3, and which tables to upgrade - with the dev-list evidence.
Apache Iceberg v3 Explained: 7 Spec Features That Change Your Lakehouse Upgrade Plan (2026)
Iceberg v3 adds deletion vectors, row lineage, VARIANT and geospatial types. What each feature changes, engine support, and how to sequence the upgrade.
Airflow vs Dagster vs Prefect: Data Orchestration Compared (2026)
Airflow vs Dagster vs Prefect compared: execution model, asset vs task orchestration, backfills, dynamic pipelines, observability, and a decision matrix for 2026.
Feature Store Architecture: Online/Offline Parity and Point-in-Time Correctness
A feature store architecture deep-dive: online/offline parity, point-in-time correct joins, materialization, and the registry - how to stop training/serving skew in production ML.
Flink vs Spark Streaming vs Kafka Streams (2026)
Flink vs Spark Structured Streaming vs Kafka Streams in 2026: processing model, state, exactly-once, latency, and a decision matrix for your streaming workload.
Apache Iceberg vs Paimon: Lakehouse Table Formats 2026
Apache Iceberg vs Apache Paimon in 2026: streaming upserts, compaction, metadata design, catalog support, and a decision matrix for your lakehouse table format.
Kafka vs Redpanda vs WarpStream: Edge Telemetry ADR
An ADR-style 2026 comparison of Kafka, Redpanda, and WarpStream for edge telemetry: cost, latency, ops burden, and a clear decision framework.