From the Engineering Blog
Product updates, architecture deep dives, and lessons from building a data operating system.
F-Pulse Performance Benchmarks — DuckDB Execution on a Single Machine
Real performance numbers for F-Pulse running on a single machine. Latency, throughput, memory usage, and how DuckDB execution compares to Spark for small-to-medium workloads.
F-Pulse vs Airflow vs Prefect vs Dagster — Which Pipeline Tool Fits Your Team?
An honest comparison of F-Pulse, Apache Airflow, Prefect, and Dagster. Visual-first vs code-first, setup complexity, connector coverage, and when to pick each tool.
The Best Open Source ETL Tools in 2026 — A Practical Guide
A hands-on review of the best open source ETL tools in 2026. Covers F-Pulse, Airbyte, dbt, Singer, Meltano, and Apache NiFi with setup guides and use-case recommendations.
Introducing Pulse-Agent: A Data Agent That Plugs Into the Tools You Already Use
Pulse-Agent is a free, local-first data context agent for engineers, analysts, and scientists. It works with Airflow, Snowflake, dbt, Tableau, Jupyter — and yes, F-Pulse and D-Pulse too.
The 9-Plane Data Platform: Why We Stopped Bolting Tools Together
Most data stacks are five products held together with tape. Here's the architectural argument for treating a data platform like an operating system, not a feature pile.
Plan, Act, Verify: Why Data Agents Need a Loop, Not a Prompt
Most AI tools for data work answer questions. Agents do work. The difference is a structured loop with guardrails — and most teams haven't built one.
Visual vs Code-First Orchestration: When Each Approach Wins
Drag-and-drop pipeline builders and code-first orchestrators like Airflow solve the same problem differently. Here's an honest take on which to pick when.
Building a Medallion Architecture ETL Pipeline — Bronze, Silver, Gold Explained
Step-by-step guide to implementing a Bronze → Silver → Gold medallion architecture for your data lakehouse. Covers schema design, data quality gates, and real-world patterns with F-Pulse.
Why SQL-First Teams Are Switching to Visual Data Pipelines
Code-first orchestrators like Airflow were built for Python engineers. Visual pipeline builders like F-Pulse give SQL-first teams the same power without the DAG boilerplate.
What Is Data Pipeline Orchestration? A Practical Guide for 2026
Learn what data pipeline orchestration is, why it matters, and how modern tools like F-Pulse simplify building, scheduling, and monitoring data workflows at scale.
How to Set Up a CDC Pipeline from PostgreSQL to Your Data Warehouse
Step-by-step guide to building a Change Data Capture (CDC) pipeline from PostgreSQL to Snowflake, BigQuery, or Redshift. Covers WAL configuration, Debezium setup, and common pitfalls.
Open Source ETL Tools Compared: Airflow vs Prefect vs n8n vs F-Pulse (2026)
An honest comparison of open-source ETL and data pipeline tools — Apache Airflow, Prefect, n8n, and F-Pulse. Features, trade-offs, and which to choose for your team.
Medallion Architecture Explained: Bronze, Silver, Gold Data Layers
A practical guide to medallion architecture for data lakehouses. Learn how Bronze, Silver, and Gold layers organize data for quality, governance, and analytics.
Data Pipeline Monitoring: What to Track and Why
A practical guide to monitoring data pipelines in production. Learn which metrics matter, how to set up alerts, and how to prevent silent data failures.
Why Data Engineers Are Switching to Visual Pipeline Builders
Visual data pipeline builders are replacing code-first orchestrators for many teams. Here's why, and what to look for when choosing one.
How to Build a Data Lakehouse from Scratch
A step-by-step guide to building a data lakehouse with object storage, table formats, SQL engines, and the medallion architecture pattern.