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Apache Druid VS mirrord

Compare Apache Druid VS mirrord and see what are their differences

Apache Druid logo Apache Druid

Fast column-oriented distributed data store

mirrord logo mirrord

Connect your local process and your cloud environment.
  • Apache Druid Landing page
    Landing page //
    2023-10-07
  • mirrord Landing page
    Landing page //
    2022-12-02

mirrord is an open-source tool that lets developers run local processes in the context of their cloud environment. It’s meant to provide the benefits of running your service on a cloud environment (e.g. staging) without actually going through the hassle of deploying it there, and without disrupting the environment by deploying untested code.

Apache Druid videos

An introduction to Apache Druid

More videos:

  • Review - Building a Real-Time Analytics Stack with Apache Kafka and Apache Druid

mirrord videos

No mirrord videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Apache Druid and mirrord)
Databases
100 100%
0% 0
Developer Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Kubernetes
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Druid and mirrord

Apache Druid Reviews

Rockset, ClickHouse, Apache Druid, or Apache Pinot? Which is the best database for customer-facing analytics?
“When you're dealing with highly concurrent environments, you really need an architecture that’s designed for that CPU efficiency to get the most performance out of the smallest hardware footprint—which is another reason why folks like to use Apache Druid,” says David Wang, VP of Product and Corporate Marketing at Imply. (Imply offers Druid as a service.)
Source: embeddable.com
Apache Druid vs. Time-Series Databases
Druid is a real-time analytics database that not only incorporates architecture designs from TSDBs such as time-based partitioning and fast aggregation, but also includes ideas from search systems and data warehouses, making it a great fit for all types of event-driven data. Druid is fundamentally an OLAP engine at heart, albeit one designed for more modern, event-driven...
Source: imply.io

mirrord Reviews

  1. The smartest way to debug cloud native applications.

    I can debug my code on my machine while it's accessing resources on my k8s cluster.

  2. mirrord is super easy to get started with and works out of the box on any deployment.

    🏁 Competitors: Telepresence
    👍 Pros:    Easy to get started|Wide range of integrations|Great customer support|Great ux

mirrord as an alternative to Telepresence
mirrord then injects itself into your process, overrides low-level functions and relays them to the mirrord agent, who then executes them on the target in the cluster and sends back the results. For example, when your process tries to read a file, mirrord intercepts that function call and instead asks the agent to read that file from the remote target. mirrord does this for...
Source: metalbear.co

Social recommendations and mentions

mirrord might be a bit more popular than Apache Druid. We know about 10 links to it since March 2021 and only 9 links to Apache Druid. 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.

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 / 4 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 / 4 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
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mirrord mentions (10)

  • The Traffic Police 🚨 - Controlling outgoing traffic with mirrord
    So, you've been using mirrord to simplify your development process (if you haven’t, go here!). Naturally, you want the traffic from the app you're debugging to go through the cluster environment, so your app can communicate with its clustery pals. There is a problem though: your latest change adds some new columns to the database, and you don’t want to modify the database in the cluster and affect everyone else... - Source: dev.to / 4 months ago
  • Hands-on Tutorial of mirrord - Rawkode Academy
    Hands-on tutorial of mirrord.dev with the creators and Rawkode! Source: 11 months ago
  • mirrord as an alternative to Telepresence
    We're building an open-source tool called mirrord which lets you run a local process in the context of a pod in your cloud environment. We often get asked how mirrord is different from Telepresence and so we decided to write a short blog post about it, which we hope would be valuable to those interested in local Kubernetes development:. Source: 12 months ago
  • What steps do you usually take to troubleshoot Kubernetes pods?
    If you want to troubleshoot your app specificially or any network traffic, I'd recommend Https://mirrord.dev/ Just do, mirrord exec -t pod/target-pod -- ./path/to/process and run it in the context of your pod. Source: 12 months ago
  • The mirrord IntelliJ plugin now also supports node.js!
    Turns out supporting node.js in IntelliJ plugins is not as easy as you would expect (mostly because the extension point we are extending is not documented. With documentation this could have been simple), but we did it! I'm the JetBrains fan of the team, so I'm happy we're extending our support for IntelliJ. You can now run and debug node.js applications with the mirrord IntelliJ plugin. Mirrord let's you run... Source: about 1 year ago
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What are some alternatives?

When comparing Apache Druid and mirrord, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Telepresence - Telepresence is an open source tool that lets you develop and debug your Kubernetes services...

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

DevSpace (for Kubernetes and Docker) - Cloud-Native Software Development with Kubernetes and Docker

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

Okteto - Development platform for Kubernetes applications.