Software Alternatives, Accelerators & Startups

Apache Druid VS NATS

Compare Apache Druid VS NATS and see what are their differences

Apache Druid logo Apache Druid

Fast column-oriented distributed data store

NATS logo NATS

NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.
  • Apache Druid Landing page
    Landing page //
    2023-10-07
  • NATS Landing page
    Landing page //
    2023-01-05

NATS.io is a connective technology for distributed systems and is a perfect fit to connect devices, edge, cloud or hybrid deployments. True multi-tenancy makes NATS ideal for SaaS and self-healing and scaling technology allows for topology changes anytime with zero downtime.

Apache Druid videos

An introduction to Apache Druid

More videos:

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

NATS videos

The coolest OSS project you've never heard of: NATS Getting started!

Category Popularity

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

User comments

Share your experience with using Apache Druid and NATS. For example, how are they different and which one is better?
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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 NATS

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

NATS Reviews

Best message queue for cloud-native apps
NATS is designed to be simple and easy to use, with a small footprint and low latency. It is often used in cloud-native environments to connect different components of a distributed system or to enable communication between microservices. NATS also supports message persistence, security, and clustering, making it a robust messaging system for building scalable and resilient...
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
One challenge of NATS is that it does not support reliable message queuing out of the box - messages can be lost if a client disconnects before it receives them. This can be mitigated by using NATS Streaming, a data streaming system powered by NATS, but it adds complexity.
Source: blog.iron.io
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
NATS is known for its high performance, low latency, and emphasis on simplicity after it was rewritten in Go. Its rewrite in Go makes NATS an ideal choice for demanding and real-time applications and has increased its throughput compared to its original Ruby implementation.
Source: gcore.com

Social recommendations and mentions

Based on our record, NATS should be more popular than Apache Druid. It has been mentiond 65 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.

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
View more

NATS mentions (65)

  • HN-text: an easy-to-use, text-first Hacker News terminal client
    That sounds awesome. I have actually been working on something similar myself. I have been building a distributed NATS[0] cluster to funnel data down from the internet and index it locally. I also have a local Ollama box wired up to try to do some NLP on it. I started with Benthos to pull in, but since the recent license changes[1] I am rethinking that :( If you would like to collaborate feel free to shoot me an... - Source: Hacker News / 15 days ago
  • Hello World, Simple Event Broker
    I've been happy with NATS, https://nats.io/. - Source: Hacker News / 20 days ago
  • Implementing OTel Trace Context Propagation Through Message Brokers with Go
    Several message brokers, such as NATS and database queues, are not supported by OpenTelemetry (OTel) SDKs. This article will guide you on how to use context propagation explicitly with these message queues. - Source: dev.to / 2 months ago
  • NATS: First Impressions
    Https://nats.io/ (Tracker removed) > Connective Technology for Adaptive Edge & Distributed Systems > An Introduction to NATS - The first screencast I guess I don't need to know what it is. - Source: Hacker News / 3 months ago
  • Sequential and parallel execution of long-running shell commands
    Pueue dumps the state of the queue to the disk as JSON every time the state changes, so when you have a lot of queued jobs this results in considerable disk io. I actually changed it to compress the state file via zstd which helped quite a bit but then eventually just moved on to running NATS [1] locally. [1] https://nats.io/. - Source: Hacker News / 3 months ago
View more

What are some alternatives?

When comparing Apache Druid and NATS, 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.

Socket.io - Realtime application framework (Node.JS server)

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

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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

Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.