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Observable VS Apache Druid

Compare Observable VS Apache Druid and see what are their differences

Observable logo Observable

Interactive code examples/posts

Apache Druid logo Apache Druid

Fast column-oriented distributed data store
  • Observable Landing page
    Landing page //
    2023-10-09
  • Apache Druid Landing page
    Landing page //
    2023-10-07

Observable videos

Observable Overview

More videos:

  • Review - observablehq.com review observable hq data analysis
  • Review - Hands-on Data Visualization with Observable Plot

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 Observable and Apache Druid)
Data Visualization
100 100%
0% 0
Databases
0 0%
100% 100
Data Dashboard
88 88%
12% 12
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 Observable and Apache Druid

Observable Reviews

Top 10 Grafana Alternatives in 2024
Observable is a Grafana alternative that enables users to visualize data via charts and dashboards using code.
Source: middleware.io
Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com

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, Observable seems to be a lot more popular than Apache Druid. While we know about 288 links to Observable, we've tracked only 9 mentions of 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.

Observable mentions (288)

  • More Itertools
    You can implement most of itertools in Javascript, though making it perform well is another story. For instance, https://observablehq.com/@jrus/itertools. - Source: Hacker News / about 1 month ago
  • Modos Paper Monitor Pre-Launch on Crowd Supply
    Curious to see whether more recent dithering approaches would produce better results. They don't even have to be more resource hungry than the classic Bayer or Floyd-Steinberg dithers! Interleaved Gradient Noise[0][1][2] comes to mind as an alternative to Bayer, and it can even be approximated quite well with just 8-bit operations! Basically, use the following function to determine your threshold based on pixel... - Source: Hacker News / about 1 month ago
  • I'm writing a new vector search SQLite Extension
    Could this be implemented in Rust? Does that project (sqlite-loadable-rs) support WASM? https://observablehq.com/@asg017/introducing-sqlite-loadable-rs. - Source: Hacker News / about 2 months ago
  • Show HN: An extension to track your Wikipedia adventures
    Have you tried out a tangled-tree visualization? [1] I've found it to be super useful when visualizing these sorts of relationships in a compact way. [1] https://observablehq.com/@nitaku/tangled-tree-visualization-ii. - Source: Hacker News / about 2 months ago
  • A feature-rich front-end drag-and-drop component library
    Maybe I'm easy to impress, but I always stop and play around with the nested tree example when I come across Sortable. It works so flawlessly, and feels very tuned to mobile dnd. It even works to arrange (and reflow) inline spans in a paragraph! I have yet to come across this functionality in a text editor.. [0]: https://observablehq.com/@dleeftink/sortable-playground. - Source: Hacker News / 2 months ago
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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 / 5 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 / almost 2 years ago
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What are some alternatives?

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

RunKit - RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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