Software Alternatives, Accelerators & Startups

Ably VS Apache Flink

Compare Ably VS Apache Flink and see what are their differences

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Ably logo Ably

The definitive realtime experience platform. Built for scale.

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
  • Ably Ably homepage
    Ably homepage //
    2024-08-05

Ably is the definitive realtime experience infrastructure of the internet; serving more WebSocket connections than any other pub/sub platform on earth. Businesses like HubSpot, NASCAR and Split trust us to power their critical applications - reliably, securely and at a serious scale.

Our range of application building blocks and integrations enable developers to create the realtime experiences that users and businesses demand. From live chat to data broadcast, collaborative UXs and notifications our SDKs unlock innovation - with no infrastructure to build.

  • Apache Flink Landing page
    Landing page //
    2023-10-03

Ably features and specs

  • Scalability
    Ably is designed to handle a massive number of concurrent connections and messages, making it scalable for both small and large applications.
  • Real-time Messaging
    Ably provides robust real-time messaging capabilities with low latency, supporting use-cases like live chat, gaming, and real-time data streaming.
  • Global Presence
    Ably has a globally distributed network, ensuring low latency and high availability for users around the world.
  • Advanced Features
    It offers advanced features such as message history, presence, and push notifications, which can enhance the functionality of real-time applications.
  • Security
    Ably includes built-in security features such as TLS encryption, token-based authentication, and private channels to ensure secure communication.
  • Extensive Documentation
    The service provides extensive and well-organized documentation, making it easier for developers to integrate and utilize its features.
  • SDKs and Libraries
    Ably offers a wide range of SDKs and libraries for different programming languages and platforms, easing the development process.
  • Reliable Delivery
    It ensures reliable message delivery with features like message queuing and message de-duplication.

Apache Flink features and specs

  • Real-time Stream Processing
    Apache Flink is designed for real-time data streaming, offering low-latency processing capabilities that are essential for applications requiring immediate data insights.
  • Event Time Processing
    Flink supports event time processing, which allows it to handle out-of-order events effectively and provide accurate results based on the time events actually occurred rather than when they were processed.
  • State Management
    Flink provides robust state management features, making it easier to maintain and query state across distributed nodes, which is crucial for managing long-running applications.
  • Fault Tolerance
    The framework includes built-in mechanisms for fault tolerance, such as consistent checkpoints and savepoints, ensuring high reliability and data consistency even in the case of failures.
  • Scalability
    Apache Flink is highly scalable, capable of handling both batch and stream processing workloads across a distributed cluster, making it suitable for large-scale data processing tasks.
  • Rich Ecosystem
    Flink has a rich set of APIs and integrations with other big data tools, such as Apache Kafka, Apache Hadoop, and Apache Cassandra, enhancing its versatility and ease of integration into existing data pipelines.

Possible disadvantages of Apache Flink

  • Complexity
    Flink’s advanced features and capabilities come with a steep learning curve, making it more challenging to set up and use compared to simpler stream processing frameworks.
  • Resource Intensive
    The framework can be resource-intensive, requiring substantial memory and CPU resources for optimal performance, which might be a concern for smaller setups or cost-sensitive environments.
  • Community Support
    While growing, the community around Apache Flink is not as large or mature as some other big data frameworks like Apache Spark, potentially limiting the availability of community-contributed resources and support.
  • Ecosystem Maturity
    Despite its integrations, the Flink ecosystem is still maturing, and certain tools and plugins may not be as developed or stable as those available for more established frameworks.
  • Operational Overhead
    Running and maintaining a Flink cluster can involve significant operational overhead, including monitoring, scaling, and troubleshooting, which might require a dedicated team or additional expertise.

Analysis of Ably

Overall verdict

  • Ably is a reliable and efficient real-time messaging platform, well-suited for applications requiring high performance and scalability. It is generally well-regarded within the developer community for its ease of use and robust feature set.

Why this product is good

  • Features
    Ably provides a comprehensive suite of features such as pub/sub messaging, presence, and history.
  • Security
    It implements robust security practices including TLS encryption, token-based authentication, and private channels.
  • Integration
    Supports numerous protocols and provides SDKs for various programming languages, making it easy to integrate with different systems.
  • Reliability
    Ably offers high availability and low latency, ensuring messages are delivered in real-time.
  • Scalability
    The platform can handle millions of active connections and is designed for horizontal scaling.

Recommended for

  • developers building real-time applications like chat apps, dashboards, or multiplayer games
  • businesses in need of a scalable solution for live updates and notifications
  • teams looking for a platform with strong security and compliance credentials
  • organizations requiring integration with existing development workflows and tools

Analysis of Apache Flink

Overall verdict

  • Yes, Apache Flink is considered a good distributed stream processing framework.

Why this product is good

  • Rich api
    Flink offers a rich set of APIs for various levels of abstraction, catering to different needs of developers.
  • Scalability
    Flink provides excellent horizontal scalability, making it suitable for handling large data streams and high-throughput applications.
  • Fault tolerance
    Flink's checkpointing mechanism ensures fault-tolerance, maintaining data state consistency even after failures.
  • Ease of integration
    Flink integrates well with other big data tools and ecosystems, facilitating broader data architecture designs.
  • Real-time processing
    It excels at processing data in real-time, allowing for immediate insights and action on streaming data.
  • Community and support
    Being a part of the Apache Software Foundation, Flink benefits from a large community and comprehensive documentation.
  • Complex event processing
    It supports complex event processing, which is essential for many real-time applications.

Recommended for

  • real-time analytics
  • stream data processing
  • complex event processing
  • machine learning in streaming applications
  • applications requiring high-throughput and low-latency processing
  • companies looking for robust fault-tolerance in distributed systems

Ably videos

How to build a collaborative environment around your product

More videos:

  • Demo - How to build an avatar stack with Ably Spaces
  • Demo - Ably 101: Serverless WebSockets at scale

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

Category Popularity

0-100% (relative to Ably and Apache Flink)
Mobile Push Messaging
100 100%
0% 0
Big Data
0 0%
100% 100
Developer Tools
51 51%
49% 49
Stream Processing
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Flink should be more popular than Ably. It has been mentiond 41 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.

Ably mentions (23)

  • Real-Time Authorization in a Chat Application with Permit.io and WebSockets
    For our web socket-based application, we’ll be using Next.js and Ably, a service that allows us to easily integrate and manage real-time capabilities in our apps powered by web socket. - Source: dev.to / 4 months ago
  • Curiosity: Using Ably.io Realtime Messaging as a Lightweight Database
    Ably offers various solutions for developers, with their most popular being realtime messaging based on the pub/sub model. When you publish a message to a channel, all devices connected to that channel receive it instantly. - Source: dev.to / 5 months ago
  • Chat API pricing: Comparing MAU and per-minute consumption models
    A per-minute consumption model goes beyond traditional consumption-based pricing by billing customers based on their actual usage of service resources—connection time, channels, and messages. This approach directly addresses the inefficiencies inherent in MAU pricing models. This isn’t a common model in the industry, but we’ve adopted it here at Ably to meet the usage needs of our customers at scale. - Source: dev.to / 6 months ago
  • Essential guide to WebSocket authentication
    Of course, if this all sounds like a headache, you might consider Ably. Apart from solving the authentication problem, Ably provides additional features you’d need to implement on top of WebSockets like Presence and message queues, and provides production guarantees that will be time-consuming or costly to achieve on your own like 99.999% uptime guarantee, exactly-once delivery, and guaranteed message ordering. - Source: dev.to / over 1 year ago
  • The top real-time notification services for building in-app notifications
    Ably is a robust real-time data delivery platform based on WebSockets with features like message ordering, presence, and connection recovery. Customers include Toyota, HubSpot, and Verizon. - Source: dev.to / over 1 year ago
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Apache Flink mentions (41)

  • What is Apache Flink? Exploring Its Open Source Business Model, Funding, and Community
    Continuous Learning: Leverage online tutorials from the official Flink website and attend webinars for deeper insights. - Source: dev.to / 26 days ago
  • Is RisingWave the Next Apache Flink?
    Apache Flink, known initially as Stratosphere, is a distributed stream processing engine initiated by a group of researchers at TU Berlin. Since its initial release in May 2011, Flink has gained immense popularity in both academia and industry. And it is currently the most well-known streaming system globally (challenge me if you think I got it wrong!). - Source: dev.to / about 1 month ago
  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave â€” can read and/or write Iceberg data directly. - Source: dev.to / about 1 month ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / about 2 months ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Apache Flink: Flink is a unified streaming and batching platform developed under the Apache Foundation. It provides support for Java API and a SQL interface. Flink boasts a large ecosystem and can seamlessly integrate with various services, including Kafka, Pulsar, HDFS, Iceberg, Hudi, and other systems. - Source: dev.to / about 2 months ago
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What are some alternatives?

When comparing Ably and Apache Flink, you can also consider the following products

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

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

Trophy.so - Ship gamification in hours, not months.

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

Mambo.io - Use the Mambo gamification platform to engage your teams, measure activities, set goals and increase the overall performance of your business.

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