After running a synthetic finance estate through nine federation platforms with Postgres, Snowflake, an Iceberg lake, Salesforce, and a Kafka topic, the surprise our team kept landing on was how fast every demo query ran and how badly the same query bent the moment the largest source forced a hash spill.
Written by Thibaut de LatailladeAfter running the same staging-to-mart workload through ten platforms, what surprised our team most was how many products marketed as data preparation tools do almost no preparation. Some load data and stop. Some chart the result and stop. A surprisingly small number actually own the modeling layer where analytics engineers spend their days.
Written by Alex OrtegaData extraction covers three jobs that vendors deliberately blur together: scraping the public web, ingesting SaaS and database sources through managed connectors, and automating the glue between them. The best data extraction tool depends almost entirely on which of those three you are actually doing.
Written by Thibaut de LatailladeData integration platforms promise seamless pipelines, but the gap between a plug-and-play managed connector and a self-hosted open-source engine means choosing wrong costs months of rework.
Written by Alex Ortega