Why MongoDB Is an Architectural Dead-End
Why MongoDB is an architectural dead-end: bolt-on features, operational burden, and declining performance at scale. Postgres compounds value instead.
By Jose Sahad
November 26th, 2025
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Why MongoDB is an architectural dead-end: bolt-on features, operational burden, and declining performance at scale. Postgres compounds value instead.
By Jose Sahad
November 26th, 2025
Tiger Data’s Jacky Liang argues that vector search alone isn't sufficient for many AI applications since it provides similarity when users need exact relevance.
By Jacky Liang
August 13th, 2025
Three Tiger Data engineers reveal the unvarnished truth about Model Context Protocol (MCP) implementation, exposing critical security concerns and practical challenges the AI hype cycle isn't discussing.
By Jacky Liang
July 24th, 2025
Learn what makes Tiger Data an open, composable platform that unifies OLTP + analytics with 10M+ row/sec performance, ACID compliance, and seamless ecosystem integration—without vendor lock-in.
By Jose Sahad
July 24th, 2025
Read how we’re scaling Postgres to 3 PB of data and 3 T of metrics per day to power our query monitoring feature, Insights.
By Rob Kiefer
March 19th, 2025
The LZ4 data compression algorithm offers significant benefits compared to pglz, namely when it comes to PostgreSQL performance. Learn how to use it.
By Keyur Panchal
November 25th, 2024
Learn how we replaced StatefulSets with a custom Kubernetes operator to improve the scalability, flexibility, and cost efficiency of our Postgres cloud platform.
By Andrew Charlton
October 9th, 2024
Learn how we deploy PostgreSQL on Kubernetes for our TimescaleDB instances and how this deployment choices impacts the backup/restore process.
By Oleksii Kliukin
June 28th, 2024
Timescale supports database replication through read replicas. Learn how they work under the hood and how you can enable them.
By Danil Zhigalin
April 16th, 2024