Software Alternatives & Reviews

Intercom on Product Management VS Apache Druid

Compare Intercom on Product Management VS Apache Druid and see what are their differences

Intercom on Product Management logo Intercom on Product Management

The ultimate resource for aspiring product managers

Apache Druid logo Apache Druid

Fast column-oriented distributed data store
  • Intercom on Product Management Landing page
    Landing page //
    2023-10-03
  • Apache Druid Landing page
    Landing page //
    2023-10-07

Intercom on Product Management

Categories
  • Productivity
  • Education
  • User Experience
  • Project Management
Website intercom.com
Details $-

Apache Druid

Categories
  • Databases
  • Big Data
  • Data Analysis
  • Big Data Analytics
Website druid.apache.org
Details $

Intercom on Product Management videos

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Apache Druid videos

An introduction to Apache Druid

More videos:

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

Category Popularity

0-100% (relative to Intercom on Product Management and Apache Druid)
Productivity
100 100%
0% 0
Databases
0 0%
100% 100
Project Management
100 100%
0% 0
Big Data
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 Intercom on Product Management and Apache Druid

Intercom on Product Management Reviews

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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

Social recommendations and mentions

Based on our record, Apache Druid seems to be more popular. It has been mentiond 9 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.

Intercom on Product Management mentions (0)

We have not tracked any mentions of Intercom on Product Management yet. Tracking of Intercom on Product Management recommendations started around Mar 2021.

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 / 29 days 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 / about 2 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 / about 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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What are some alternatives?

When comparing Intercom on Product Management and Apache Druid, you can also consider the following products

Software Product Management Stack - Resources & tools to help you manage your software product

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

The Product Management guide - A book on how to create and ship products that people love

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

Product Management Exercises - A repository of product manager job interview exercises

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.