Rob Kiefer - Blog | Tiger Data

You, Too, Can Scale Postgres to 3 PB and 3 T Metrics per Day

Engineering

PostgreSQL

You, Too, Can Scale Postgres to 3 PB and 3 T Metrics per Day

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

How We Scaled PostgreSQL to 350 TB+ (With 10B New Records/Day)

Engineering

#Callout-technical

How We Scaled PostgreSQL to 350 TB+ (With 10B New Records/Day)

Read how we used Timescale to scale a 350 TB+ PostgreSQL database to build Insights, our new database observability tool.

By Rob Kiefer

November 2nd, 2023

Database Monitoring and Query Optimization: Introducing Insights on Timescale

Announcements & Releases

Database Monitoring and Query Optimization: Introducing Insights on Timescale

Experience in-depth database monitoring with Insights. Optimize your query performance, including timings, memory, and disk usage.

By Rob Kiefer

November 1st, 2023

How to Store Time-Series Data in MongoDB and Why That’s a Bad Idea

Product & Engineering

Benchmarks & Comparisons

How to Store Time-Series Data in MongoDB and Why That’s a Bad Idea

TimescaleDB vs MongoDB: 260 % higher insert performance, up to 54x faster queries, and simpler implementation for time-series data.

By Rob Kiefer

December 17th, 2020

You are what you benchmark: Introducing the Time Series Benchmark Suite (TSBS)

Announcements & Releases

Product & Engineering

You are what you benchmark: Introducing the Time Series Benchmark Suite (TSBS)

Taking the BS out of benchmarking with a new framework released by TimescaleDB engineers to generate time-series datasets and compare read/write performance of various databases.

By Rob Kiefer

August 9th, 2018

TimescaleDB vs. PostgreSQL for Time Series: 20x Higher Inserts, 2,000x Faster Deletes, 1.2x-14,000x Faster Queries

Product & Engineering

PostgreSQL

TimescaleDB vs. PostgreSQL for Time Series: 20x Higher Inserts, 2,000x Faster Deletes, 1.2x-14,000x Faster Queries

This is the first in a series of performance benchmarks comparing TimescaleDB to other databases for storing and analyzing time-series data.

By Rob Kiefer

August 10th, 2017

You, Too, Can Scale Postgres to 3 PB and 3 T Metrics per Day

How We Scaled PostgreSQL to 350 TB+ (With 10B New Records/Day)

Database Monitoring and Query Optimization: Introducing Insights on Timescale

How to Store Time-Series Data in MongoDB and Why That’s a Bad Idea

You are what you benchmark: Introducing the Time Series Benchmark Suite (TSBS)

TimescaleDB vs. PostgreSQL for Time Series: 20x Higher Inserts, 2,000x Faster Deletes, 1.2x-14,000x Faster Queries

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