Apache Druid might be a bit more popular than Patroni. We know about 9 links to it since March 2021 and only 7 links to Patroni. 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.
We have been using stolon + consul for years without issue in our swarm environments. It may also be possible with patroni. Source: 10 months ago
One of the solutions which made it pretty simple for us to run postgresql in a ha environment (mostly in k8s, but works standalone as well) is zalandos patroni: https://github.com/zalando/patroni (docker image: https://github.com/zalando/spilo) we've also tried other operators which were easier to get started, but they failed miserably (crunchyrolls operator is... - Source: Hacker News / 11 months ago
Hello. I am currently using this docker-compose model from Zalando repository. It does not include PgBouncer in its architecture by default. I've been trying to find a containerized implementation involving Patroni, HAProxy, Etcd and PgBouncer. I didn't find anything solid so far. Source: about 1 year ago
General purpose: Patroni - Set up your own etcd + HAProxy + Patroni + Postgres components and it'll generally manage itself after that. Source: about 1 year ago
I don't have a great answer for you except that it sounds like you are trying to create your own version of patroni. Is there a good reason to not just use patroni? Source: over 1 year ago
Apache Druid: Focused on real-time analytics and interactive queries on large datasets. Druid is well-suited for high-performance applications in user-facing analytics, network monitoring, and business intelligence. - Source: dev.to / about 2 months ago
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in... - Source: dev.to / 3 months ago
Spencer Kimball (now CEO at CockroachDB) wrote an interesting article on this topic in 2021 where they created spencerkimball/stargazers based on a Python script. So I started thinking: could I create a data pipeline using Nifi and Kafka (two OSS tools often used with Druid) to get the API data into Druid - and then use SQL to do the analytics? The answer was yes! And I have documented the outcome below. Here’s... - Source: dev.to / over 1 year ago
Apache Druid is part of the modern data architecture. It uses a special data format designed for analytical workloads, using extreme parallelisation to get data in and get data out. A shared-nothing, microservices architecture helps you to build highly-available, extreme scale analytics features into your applications. - Source: dev.to / over 1 year ago
Datadog's product is a bit too close to Apache Druid to have named their design system so similarly. From https://druid.apache.org/ : > Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data. - Source: Hacker News / over 1 year ago
Supabase - An open source Firebase alternative
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
MariaDB - An enhanced, drop-in replacement for MySQL
Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Citus - Worry-free Postgres for SaaS. Built to scale out.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.