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Why we introduced telemetry in the latest release of TimescaleDB
Product & Engineering

Why we introduced telemetry in the latest release of TimescaleDB

10 Sep 2018 4 min read

As of version 0.12, TimescaleDB will come with opt-out, non-personally identifiable telemetry and version checking.

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

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

9 Aug 2018 5 min read

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.

SQL vs. Flux: Choosing the right query language for time-series data
Product & Engineering

SQL vs. Flux: Choosing the right query language for time-series data

2 Aug 2018 10 min read

An examination of the strengths and weaknesses of SQL, and why query planners exist, by way of comparing TimescaleDB and InfluxDB.

Uniting SQL and NoSQL for monitoring: Why PostgreSQL is the ultimate data store for Prometheus
Prometheus

Uniting SQL and NoSQL for monitoring: Why PostgreSQL is the ultimate data store for Prometheus

12 Jul 2018 9 min read

How to use Prometheus, PostgreSQL + TimescaleDB, and Grafana for storing, analyzing, and visualizing metrics.

Optimizing queries on TimescaleDB hypertables with thousands of partitions
Product & Engineering

Optimizing queries on TimescaleDB hypertables with thousands of partitions

27 Jun 2018 3 min read

How 0.10 introduces 15x improvements in query planning times.

Eye or the Tiger: Benchmarking Cassandra vs. TimescaleDB for time-series data
Product & Engineering

Eye or the Tiger: Benchmarking Cassandra vs. TimescaleDB for time-series data

31 May 2018 14 min read

How a 5 node TimescaleDB cluster outperforms 30 Cassandra nodes, with higher inserts, up to 5800x faster queries, 10% the cost, a more flexible data model, and of course, full SQL.

How to store time-series data in MongoDB, and why that’s a bad idea
Product & Engineering

How to store time-series data in MongoDB, and why that’s a bad idea

15 May 2018 12 min read

20% higher insert performance, up to 1400x faster queries, and simpler queries when using TimescaleDB vs. MongoDB for time-series data.

High availability and scalable reads in PostgreSQL
Blog

High availability and scalable reads in PostgreSQL

3 May 2018 15 min read

A detailed primer on scaling PostgreSQL via streaming replication (with performance measurements).

PostgreSQL as the substructure for IoT and the next wave of computing
General

PostgreSQL as the substructure for IoT and the next wave of computing

19 Apr 2018 9 min read

How PostgreSQL accidentally became the ideal platform for IoT applications and services.

Timescale raises $16M from Benchmark, NEA, Two Sigma Ventures for the database to help us understand our machines and our world
Announcements & Releases

Timescale raises $16M from Benchmark, NEA, Two Sigma Ventures for the database to help us understand our machines and our world

24 Jan 2018 12 min read

Humanity is now living with machines and swimming in machine data. Timescale just raised $16M to help developers, businesses, and society make sense of it all.

3,400+ stars, 20+ releases, 30+ talks, and production deployments worldwide: Here’s a recap of Timescale’s first year
Announcements & Releases

3,400+ stars, 20+ releases, 30+ talks, and production deployments worldwide: Here’s a recap of Timescale’s first year

8 Jan 2018 3 min read

As we head into the new year, we’d like to take a moment to reflect on 2017 and thank everyone who has helped us along the way. So, to our users, developers, community members (especially those of you active in our Slack channel), investors, partners, and all our other cheerleaders: Thank You.

How to scale PostgreSQL 10 using table inheritance and declarative partitioning
Product & Engineering

How to scale PostgreSQL 10 using table inheritance and declarative partitioning

8 Nov 2017 11 min read

PG10 introduces quite a few substantial new features: logical replication, full text search support for JSON / JSONB, cross-column statistics, and better support for parallel queries. Overall, PG10 is a significant milestone in the steady development of a venerable open-source database.

Problems with PostgreSQL 10 for time-series data
Product & Engineering

Problems with PostgreSQL 10 for time-series data

23 Oct 2017 13 min read

PostgreSQL 10 promises easier partitioning to scale for big data. But how does it fare for time-series workloads? And how does that compare to TimescaleDB?

How to install TimescaleDB on Azure
Product & Engineering

How to install TimescaleDB on Azure

21 Sep 2017 7 min read

A walkthrough with hardware sizing recommendations

TimescaleDB vs. PostgreSQL for time-series: 20x higher inserts, 2000x faster deletes, 1.2x-14,000x faster queries
Product & Engineering

TimescaleDB vs. PostgreSQL for time-series: 20x higher inserts, 2000x faster deletes, 1.2x-14,000x faster queries

10 Aug 2017 12 min read

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

How to install TimescaleDB on AWS
Product & Engineering

How to install TimescaleDB on AWS

20 Jul 2017 7 min read

A walkthrough with hardware sizing recommendations

Why bother with NoSQL databases? Choose PostgreSQL for IoT.
General

Why bother with NoSQL databases? Choose PostgreSQL for IoT.

13 Jul 2017 9 min read

IoT applications generate torrents of data. PostgreSQL is powerful but scales poorly. With TimescaleDB you can scale Postgres by 20x and harness its power for IoT.

Analyzing Ethereum, Bitcoin, and 1200+ other Cryptocurrencies using PostgreSQL
Blog

Analyzing Ethereum, Bitcoin, and 1200+ other Cryptocurrencies using PostgreSQL

28 Jun 2017 13 min read

Cryptocurrencies are fueling a modern day gold rush. Can data help us better understand this evolving market?

Time-series data: Why (and how) to use a relational database instead of NoSQL
General

Time-series data: Why (and how) to use a relational database instead of NoSQL

20 Apr 2017 14 min read

These days, time-series data applications (e.g., data center / server / microservice / container monitoring, sensor / IoT analytics, financial data analysis, etc.) are proliferating.

When Boring is Awesome: Building a scalable time-series database on PostgreSQL
PostgreSQL

When Boring is Awesome: Building a scalable time-series database on PostgreSQL

4 Apr 2017 9 min read

Today we are announcing the beta release of TimescaleDB, a new open-source time-series database optimized for fast ingest and complex queries, now available on GitHub under the Apache 2 license.

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