DevSpace (for Kubernetes and Docker) VS Apache Druid

DevSpace (for Kubernetes and Docker) Reviews

Apache Druid Reviews

DevSpace (for Kubernetes and Docker) mentions (3)

• 5 Key Elements for a Great Developer Experience with Kubernetes

  DevSpace is very similar to Skaffold in terms of features, with the added benefits of a dedicated UI and a two-way file sync. The UI gives your team an overview of the stack and easy access to logs. At the same time, the file synchronization feature makes their development process faster by letting them directly change code from a running container. - Source: dev.to / almost 2 years ago

• How to Speed Up Your Local Kubernetes Development With DevSpace

  DevSpace is an open-source developer tool for Kubernetes that lets you develop and deploy cloud-native software faster. It is a client-only CLI tool that runs on your machine and works with any Kubernetes cluster. You can use it to automate image building and deployments, to develop software directly inside Kubernetes and to streamline workflows across your team as well as across dev, staging and production. - Source: dev.to / about 2 years ago

• Meet Rich Burroughs

  And speaking of cycle times, the Loft team has also built DevSpace, a developer workflow tool for engineers working with Kubernetes clusters. Have you ever waited around for a new container to build so you can see if your changes work? Or even worse, for a CI pipeline to run integration tests? With DevSpace you can hot reload your app in the running container as you make changes. It's super cool and it's open... - Source: dev.to / about 3 years ago

Apache Druid mentions (9)

• How to choose the right type of database

  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 / 2 months ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  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

• Analysing Github Stars - Extracting and analyzing data from Github using Apache NiFi®, Apache Kafka® and Apache Druid®

  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® - an enterprise architect's overview

  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

• Druids by Datadog

  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