The latest QuestDB release introduces support for geospatial data via the addition of geohash types. Geohashes encode geographic areas as base-32 strings, and native support for this type allows for fast and efficient querying and storage of geodata. Also included are helper functions for rounding timestamps, performance improvements for existing functions, alongside other fixes and features. Here's the full roundup of changes that have just landed!
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We're happy to announce that QuestDB is available with an official listing on the DigitalOcean marketplace. Deploying QuestDB via 1-click app means it's quick and easy to get started with a high-performance SQL database for time series. In this announcement, we'll show you how to get started and show how you can make use of some free DigitalOcean credit for new users.
We've published the latest QuestDB release, and it focuses on community-driven
topics raised with us recently by our users. The features included are
performance improvements, increased parallelization of existing code, and
calendar alignment for
SAMPLE BY queries. Also included is the introduction of
a framework for exposing Prometheus metrics by our community member Piotr
Rżysko. Here's the full roundup of changes that have just landed!
If you're working with large amounts of data, you've likely heard about high-cardinality or ran into issues relating to it. It might sound like an intimidating topic if you're unfamiliar with it, but this article explains what cardinality is and why it crops up often with databases of all types. IoT and monitoring are use cases where high-cardinality is more likely to be a concern. Still, a solid understanding of this concept helps when planning general-purpose database schemas and understanding common factors that can influence database performance.
InfluxDB is the current market leader in time series. This post examines their ingestion format called InfluxDB line protocol (ILP) and compares data ingestion performance between QuestDB and InfluxDB. We'll look at data loss over UDP and some of the reasons why QuestDB is more efficient at ingesting records in ILP.