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Apache Flink VS NATS

Compare Apache Flink VS NATS and see what are their differences

Apache Flink logo Apache Flink

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

NATS logo NATS

NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • 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 Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

NATS videos

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

Category Popularity

0-100% (relative to Apache Flink and NATS)
Big Data
100 100%
0% 0
Developer Tools
24 24%
76% 76
Stream Processing
100 100%
0% 0
Data Integration
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 Flink and NATS

Apache Flink Reviews

We have no reviews of Apache Flink yet.
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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 Flink. 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 Flink mentions (30)

  • Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust
    Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 3 days ago
  • Array Expansion in Flink SQL
    I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 23 days ago
  • Show HN: An SQS Alternative on Postgres
    You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 1 month ago
  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 2 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months 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 / 13 days ago
  • Hello World, Simple Event Broker
    I've been happy with NATS, https://nats.io/. - Source: Hacker News / 17 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 / 2 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
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What are some alternatives?

When comparing Apache Flink 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)

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

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