Tornado VS TimescaleDB

Compare Tornado VS TimescaleDB and see what are their differences

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Tornado

A Python web framework and asynchronous networking library, originally developed at FriendFeed

TimescaleDB

TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.

Landing page //
2018-09-29

Landing page //
2023-09-23

Review Honda Tornado 250

TimescaleDB videos

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Rearchitecting a SQL Database for Time-Series Data | TimescaleDB

Category Popularity

0-100% (relative to Tornado and TimescaleDB)

TimescaleDB

Web And Application Servers

100 100%

Web And Application Servers

0% 0

Databases

0 0%

Databases

100% 100

Application Server

100 100%

Application Server

0% 0

Time Series Database

0 0%

Time Series Database

100% 100

User comments

Share your experience with using Tornado and TimescaleDB. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Tornado and TimescaleDB

Tornado is an open-source asynchronous web framework and networking library for building web applications using Python. It was originally developed at FriendFeed, a social media aggregator that was later acquired by Facebook. It’s now widely used in a variety of applications, including web services, real-time analytics, and other high-concurrency applications.

Source: kinsta.com

Exploring 5 Alternatives to Flask in Python for Web Development

Tornado is a scalable web framework in Python that is well-suited for real-time web applications. It provides a non-blocking I/O loop that enables developers to handle thousands of connections at once. Tornado also has support for various third-party plugins and tools that can be easily integrated into the framework. To install Tornado, use the following command:

Source: msalinasc.com

Top 5 Asynchronous Web Frameworks for Python

Tornado has a strong and committed following in the Python community and is used by experienced architects to build highly capable systems. It’s a framework that has long had the answer to the problems of concurrency but perhaps didn’t become mainstream as it doesn’t support the WSGI standard and was too much of a buy-in (remember that the bulk of Python libraries are still...

Source: geekflare.com

TimescaleDB Reviews

ClickHouse vs TimescaleDB

Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...

Source: pradeepchhetri.xyz

4 Best Time Series Databases To Watch in 2019

The Guardian did a very nice article explaining on they went from MongoDB to PostgresSQL in the favor of scaling their architecture and encrypting their content at REST. As you can tell, big companies are relying on SQL-constraint systems (with a cloud architecture of course) to ensure system reliability and accessibility. I believe that PostgresSQL will continue to grow, so...

Source: medium.com

20+ MongoDB Alternatives You Should Know About

TimescaleDB If on the other hand you are storing time series data in MongoDB, then TimescaleDB might be a good fit.

Source: www.percona.com

Social recommendations and mentions

Based on our record, TimescaleDB seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Tornado mentions (0)

We have not tracked any mentions of Tornado yet. Tracking of Tornado recommendations started around Mar 2021.

TimescaleDB mentions (5)

Ask HN: Does anyone use InfluxDB? Or should we switch?
(:alert: I work for Timescale :alert:) It's funny, we hear this more and more "we did some research and landed on Influx and ... Help it's confusing". We actually wrote an article about what we think, you can find it here: https://www.timescale.com/blog/what-influxdb-got-wrong/ As the QuestDB folks mentioned if you want a drop in replacement for Influx then they would be an option, it kinda sounds that's not what... - Source: Hacker News / 6 months ago
Best small scale dB for time series data?
If you like PostgreSQL, I'd recommend starting with that. Additionally, you can try TimescaleDB (it's a PostgreSQL extension for time-series data with full SQL support) it has many features that are useful even on a small-scale, things like:. Source: over 1 year ago
Quick n Dirty IoT sensor & event storage (Django backend)
I have built a Django server which serves up the JSON configuration, and I'd also like the server to store and render sensor graphs & event data for my Thing. In future, I'd probably use something like timescale.com as it is a database suited for this application. However right now I only have a handful of devices, and don't want to spend a lot of time configuring my back end when the Thing is my focus. So I'm... Source: over 2 years ago
How fast and scalable is TimescaleDB compare to a NoSQL Database?
I've seen a lot of benchmark results on timescale on the web but they all come from timescale.com so I just want to ask if those are accurate. Source: over 2 years ago
The State of PostgreSQL 2021 Survey is now open!
Ryan from Timescale here. We (TimescaleDB) just launched the second annual State of PostgreSQL survey, which asks developers across the globe about themselves, how they use PostgreSQL, their experiences with the community, and more. Source: about 3 years ago