Based on our record, Hadoop should be more popular than Patroni. It has been mentiond 15 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.
We have been using stolon + consul for years without issue in our swarm environments. It may also be possible with patroni. Source: 11 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
Did you check out tools like https://hadoop.apache.org/ ? Source: 12 months ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago
The Apache™ Hadoop™ project develops open-source software for reliable, scalable, distributed computing. - Source: dev.to / 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 Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
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.