We were paying for a realtime vendor to show online avatars. We already had Server-Sent Events and Postgres LISTEN/NOTIFY in production, so we built presence ourselves and deleted the dependency.
Max MusingFounder and CEO of Basedash
We run every async job in Basedash on Postgres with pg-boss. Three production incidents later, here's what we changed: a queue policy that silently dropped 92% of jobs, batch work starving live chats, and a connection pool that gave out at the top of every hour.
Max MusingFounder and CEO of Basedash
An honest comparison of the best BI and dashboarding tools for PostgreSQL in 2026. Covers AI capabilities, PostgreSQL integration depth, setup complexity, pricing, and which tool fits your team.
Max MusingFounder and CEO of BasedashA practical guide to giving ops, support, and business teams AI-powered access to your production database. Covers architecture patterns, row-level security, natural language to SQL, read replicas, and a step-by-step implementation checklist for Postgres, MySQL, and data warehouses.
Max MusingFounder and CEO of Basedash
“We evaluated Omni and other BI tools, but the speed to insight with Basedash is unmatched.”
Greg Demoge
Co-founder & CPO · FullEnrich
Read case study →
“For a security-conscious company like ours, Basedash instantly clicked. Reports that took weeks are ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
Read case study →
How text-to-SQL tools handle the differences between Snowflake, BigQuery, PostgreSQL, and other data warehouses. Covers SQL dialect translation, schema conventions, performance optimization, and what to look for in an AI query engine that works across your entire data stack.
Max MusingFounder and CEO of Basedash
Compare the best database dashboard tools for 2026. Connect directly to PostgreSQL, MySQL, or any SQL database and build dashboards without a data warehouse or complex setup.
Max MusingFounder and CEO of BasedashMaterialized views in PostgreSQL store the result of a complex query physically, optimizing query performance significantly.
Robert CooperSenior Software Engineer
Materialized views in PostgreSQL are an efficient way to store query results physically, drastically improving performance for complex queries or.
Robert CooperSenior Software EngineerSecondary keywords: postgres drop view Materialized views in PostgreSQL offer a robust method for speeding up access to aggregated data by physically.
Robert CooperSenior Software Engineer
Row-level security (RLS) is a feature in PostgreSQL that allows you to define policies to restrict access to individual rows in a table.
Robert CooperSenior Software EngineerSecondary keywords: postgres create view create view postgres how to view postgres database Understanding and managing views in PostgreSQL can.
Robert CooperSenior Software EngineerPostgreSQL views act as virtual tables representing the results of stored queries. They simplify complex queries, improve readability, and ensure data.
Robert CooperSenior Software EngineerPostgres offers two distinct types of views: standard views and materialized views. Standard views operate as virtual tables that reflect real-time data.
Robert CooperSenior Software Engineer
Discover how Supabase pivoted from a real-time Postgres tool to a full-fledged open-source Firebase alternative. Learn how rapid product launches, community-driven features, and savvy positioning propelled its success.
Max MusingFounder and CEO of Basedash
Learn how Basedash simplified sidebar page re-ordering by switching from integer indices to floating-point values. Discover the challenges, solutions, and best practices they uncovered.
Robert CooperSenior Software Engineer
Discover why Mobbin’s CTO switched from Firebase to Supabase for a more flexible, SQL-based stack. Explore benefits, challenges, indexing, and open-source.
Tom JohnsonHead of Design