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'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.
The journey to today's version of QuestDB began with the original prototype in 2013, and we've described what happened since in a post published during our HN launch last year. In the early stages of the project, we were inspired by vector-based append-only systems like kdb+ because of the advantages of speed and the simple code path this model brings. We also required that row timestamps were stored in ascending order, resulting in fast time series queries without an expensive index.
We've just published an alpha version for the upcoming 6.0 major release and it includes long-awaited support for ingesting out-of-order records on-the-fly, a complete overhaul of the InfluxDB Line Protocol subsystem, and multiple fixes which provide stability improvements. Here's a roundup of changes that have just landed in the latest and greatest version!
QuestDB supports ingesting records using InfluxDB line protocol. This means that you can benefit from a simple, lightweight, and convenient message format to add data points to tables. We've further improved support for this feature by adding authentication, so your endpoint is more secure. This post describes how we added this functionality and how to enable it via QuestDB configuration.
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.