If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models. - Source: dev.to / about 1 month ago
But of course, I want to run a QuestDB instance on my node, which uses two additional TCP ports for Influx Line Protocol (ILP) and Pgwire communication with the database. So how can I expose these extra ports on my node and route traffic to the QuestDB container running inside of k3s? - Source: dev.to / 4 months ago
In this post, I will detail a way in which I recently used annotations while writing an operator for my company's product, QuestDB. Hopefully this will give you an idea of how you can incorporate annotations into your own operators to harness their full potential. - Source: dev.to / 5 months ago
QuestDB is an open source, high performance time series database. With its massive ingestion throughput speeds and cost effective operation, QuestDB reduces infrastructure costs and helps you overcome tricky ingestion bottlenecks. Thanks for reading! - Source: dev.to / 5 months ago
Want to know more? Check out the QuestDB website and the QuestDB documentation. - Source: dev.to / 7 months ago
QuestDB is a time-series database that offers fast ingest speeds, InfluxDB Line Protocol and PGWire support and SQL query syntax. QuestDB is composed mostly in Java, and we've learned a lot of difficult and interesting lessons. We're happy to share them with you. - Source: dev.to / 8 months ago
I will say, if you have 1,500 devices and you are thinking in the future you will have more, I'd recommend at least looking at QuestDB: https://questdb.io/. Source: about 1 year ago
QuestDB | Developer Relations engineer & Growth engineer| Remote | https://questdb.io/ You can send an email directly to careers@questdb.io. - Source: Hacker News / over 1 year ago
We've come a long way from my first iteration where I ran speedtest-cli in a docker container that posted data to mysql all hosted on a single ec2 instance in AWS, with absolutely no fault tolerance or scaling. Now we host our stack in containers running in GKE, split into their own microservices, passing data between our services using pubsub, and using a bad ass new TimeSeries database QuestDB. Additionally, our... Source: over 1 year ago
This is a very good answer. Clickhouse does not preserve row order though - you may be better off with https://questdb.io/ as it's designed for basically exactly this, and is free. Not sure why Mizzlr says TDengine is limited in schema design... it's also designed for exactly this. Source: over 1 year ago
QuestDB is a relational column-oriented database designed for time series and event data. It uses SQL with extensions for time series to assist with real-time analytics. - Source: dev.to / over 1 year ago
Try in memory db called https://questdb.io is probably one of the fastest in market. Storage solution would have to implemented by you. Source: almost 2 years ago
QuestDB is an open source high-performance time series database built from the ground up to offer breakthrough performance for real-time analytics using SQL. The team behind QuestDB brings decades of experience and technical approaches from low-latency applications to leverage real-time data processing. QuestDB is a remote-first company and is backed by leading venture capital firms and Y Combinator. For more... - Source: dev.to / over 2 years ago
Hacktoberfest 2021 is starting today! For the first time, QuestDB is participating as an open source project. We're super excited to meet with other open source contributors and maintainers. - Source: dev.to / over 2 years ago
I'm writing docs for https://questdb.io/ which offers SQL-based analytics for time series. We have quite a few users already who use us for ML applications that rely on performance. Instead of writing an MQTT -> PostgreSQL bridge, you could use Telegraf to listen to MQTT topics and write data to QuestDB over InfluxDB line protocol when it meets certain criteria. One of our users shared the tooling they use in... - Source: Hacker News / over 2 years ago
Although Telegraf can collect an exceptional amount and variety of data, we need to store and visualize this information at some point. Considering that we collect the metrics over time, a convenient way to store time series data is using a time series database. We'll use QuestDB for ingestion and perform some basic visualization for this tutorial. - Source: dev.to / almost 3 years ago
I write the docs for QuestDB which is built for this, and we have users already using us for algotrading, so this might be interesting for you. From Python, the fastest inserts will be using InfluxDB line protocol. Source: almost 3 years ago
I write documentation for QuestDB which I can recommend if latency is a priority for your project. You can use postgres wire using psychopg2 for a quick start. Some types of queries are optimized more than others, but it's likely you can get the performance you're looking for. Source: almost 3 years ago
For showing financial data over time, a time series database is a good choice. I write the docs for QuestDB which is used a lot for this. Also, I'm curious why SQL is definitely out of the question. Source: about 3 years ago
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