Apache Mesos VS Presto DB

Apache Mesos Reviews

Presto DB Reviews

Apache Mesos mentions (7)

• Upgrading Hundreds of Kubernetes Clusters

  When we adopted Kubernetes at Criteo, we encountered initial hurdles. In 2018, Kubernetes operators were still new, and there was internal competition from Mesos. We addressed these challenges by validating Kubernetes performance for our specific needs and building custom Chef recipes, StatefulSet hooks, and startup scripts. - Source: dev.to / about 2 months ago

• The 2024 Web Hosting Report

  In the beginning, there was docker. In 2013, building on linux internals, docker packaged containers for mass adoption and made it easy to share a complete runtime environment for an application across the network. Check out their first demo at PyCon 2013 (I was there!) At the time, serious workloads ran on something like Mesos, which was not “container-native” and had its own way of packaging and distributing... - Source: dev.to / 3 months ago

• World of Containers: Kubernetes vs. Docker

  Distribution of containers to servers, clusters, and data centers Keeping applications up and running with the required number of instances Upgrading applications without downtime These issues are also known as cloud-native characteristics of modern applications. Therefore, a need for container orchestration systems has arisen. There are three leading container orchestrators on the market: Docker Swarm... - Source: dev.to / 10 months ago

• HelenOS a microkernel-based, multiserver OS from scratch

  Https://mesos.apache.org/ >Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines. - Source: Hacker News / over 1 year ago

• Machine Learning Pipelines with Spark: Introductory Guide (Part 1)

  Spark works locally on stand-alone clusters and on Hadoop YARN, Apache Mesos, Kubernetes, and other managed Hadoop platforms. - Source: dev.to / over 1 year ago

Presto DB mentions (6)

• Parsing logs from multiple data sources with Ahana and Cube

  Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / almost 2 years ago

• Can a data warehouse be skipped?

  Fair point, but I am talking about Athena (not SQL Server), which under the hood uses a distributed query engine. It is capable to deal with huge amounts of data, if the storage is in the right shape. You can read more about the underlying technology here: https://prestodb.io/. Source: about 2 years ago

• why use Redshift if we can use S3 to store data and can connect with Quicksight for dashboarding?

  So there is Presto, which is a distributed SQL engine created by Facebook. Source: about 2 years ago

• Understanding AWS Athena 101

  You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / over 2 years ago

• ETL tool for query building across multiple databases in Mongo DB

  Presto does this, but I'm honestly uncertain how performant it is. In my experience, centralizing data is the superior approach to attempting to query multiple sources in place. Source: almost 3 years ago