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Analytics articles

Data analytics on open lakehouses — query performance, BI integration, interactive exploration, and engine selection for analytical workloads.

8 articles

Apache Iceberg Table Partitioning Best Practices — a geometric iceberg branching into date, region, and category partition columns, each with table and folder icons showing the partition hierarchy
Apache IcebergPartitioningLakeOpsAnalytics

Apache Iceberg Table Partitioning Best Practices

Partitioning determines how much data every query must scan. Apache Iceberg's hidden partitioning and partition evolution change the game — but choosing the wrong strategy still creates performance cliffs. A practical guide to transforms, sizing, evolution, and avoiding the small-files trap.

Chris P
Chris P
18 min read
Apache Iceberg Puffin Statistics — a puffin bird beside a statistics dashboard showing file counts, records, partitions, and data size, connected to a geometric iceberg
Apache IcebergLakeOpsAnalyticsObservability

Apache Iceberg Puffin Statistics: A Practical Guide

Puffin files store table-level statistics — NDV sketches and custom blobs — that query engines use for join ordering, split planning, and cost-based optimization. A practical guide to how they work, how to collect them, how they go stale, and how to keep them accurate at scale.

David W
David W
18 min read
Apache Iceberg with Trino Optimization — Trino logo with an optimization gauge sending query streams into a geometric iceberg, with performance metric icons for throughput, latency, and efficiency
Apache IcebergTrinoCompactionLakeOps

Apache Iceberg with Trino: Performance Optimization Guide

A practical guide to optimizing Apache Iceberg queries and table maintenance with Trino — covering scan planning, predicate pushdown, file pruning, Trino-side tuning, maintenance procedures, physical layout optimization, and how a dedicated control plane eliminates JVM overhead while adding cross-engine intelligence.

Chris P
Chris P
18 min read
Multiple Query Engines with Iceberg — Ferris the Rust crab routing queries to Trino, Snowflake, DataFusion, Databricks, Presto, ClickHouse, DuckDB, and Apache Spark over an Iceberg Lakehouse
Apache IcebergQueryFluxTrinoLakehouse

Routing Multiple Query Engines with Iceberg

How to route queries across Trino, Spark, DuckDB, Snowflake, Athena, and Flink on shared Iceberg tables — covering the architecture of a SQL routing proxy, dialect translation, routing strategies, table-aware optimization, and the tooling that makes it work.

Rob M
Rob M
18 min read
Iceberg Lake for Data Analytics: Optimization Guide — iceberg on water with analytics dashboard showing 9.4× query speed, 68% cost efficiency gain, and 82% less data scanned
Apache IcebergData PlatformsData LakeLakeOps

Iceberg Lake for Data Analytics: Optimization Guide

Eight optimization layers for data platform engineers running BI, ad-hoc SQL, and aggregation pipelines on Apache Iceberg — from partition design and file sizing through compaction, routing, and continuous maintenance.

Jonathan Saring
Jonathan Saring
15 min read
Optimizing Iceberg Lakehouse Performance — problems (small files, fragmented manifests, unsorted data, delete files) flow through autonomous maintenance into faster queries, lower costs, higher throughput, and healthier data
Apache IcebergLakeOpsAnalyticsData Platforms

Optimizing Iceberg Lakehouse Performance

Iceberg tables degrade silently — small files from streaming, unsorted data, fragmented manifests, accumulated delete files. Each one caps query speed regardless of engine. Six concrete optimization layers, how they interact, and how autonomous maintenance keeps every table at peak performance.

David W
David W
11 min read
Data Lake vs Lakehouse vs Warehouse: A Practical Guide — watercolor illustration comparing a natural data lake (raw flexible storage), a lakehouse (open storage with analytics on the water), and a data warehouse (structured BI building with charts in the windows)
Data PlatformsData LakeLakehouseApache Iceberg

Data Lake vs Lakehouse vs Warehouse: A Practical Guide

Data lakes, warehouses, and lakehouses are not interchangeable — each has hard limits the others cannot cover. A practical guide for platform leaders: where each architecture wins, where it fails, cost and governance trade-offs, and how to choose (or combine) them in 2026.

Chris P
Chris P
22 min read
Introducing QueryFlux: Open-Source Universal Multi-Engine Query Router and SQL ProxyExternal
QueryFluxApache IcebergData PlatformsTrino

Introducing QueryFlux: Open-Source Universal Multi-Engine Query Router and SQL Proxy

QueryFlux is a universal SQL proxy and multi-engine query router in Rust—one access layer in front of Trino, DuckDB, StarRocks, and Athena with routing, dialect translation, and observability.

Jonathan Saring
12 min read