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Apache Flink VS Next Matter

Compare Apache Flink VS Next Matter 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.

Next Matter logo Next Matter

Next Matter โ€“ the process automation platform for operations teams
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Next Matter Landing page
    Landing page //
    2023-10-01

Next Matter is the process management platform that runs operations for you โ€“ no more emails, calls, meetings, or tracking sheets needed. Just set it up, and watch the work get done.

With our drag and drop editor, managers build processes in minutes, with no coding experience required. Include instructions and checklists, assign team members and stakeholders, connect your tools and systems, and start executing. Itโ€™s that easy.

Teams execute work seamlessly, with automated coordination steps, and everything they need to do the job right, with no extra input required.

Track progress and receive automated status updates, alerting you when a decision is required, or when executive input is needed.Make edits in seconds, and include more automations to improve your process instantly.

Life isn't getting any easier โ€“ but operations can. Find out more at: www.nextmatter.com.

Apache Flink

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Next Matter

$ Details
paid Free Trial $18.0 / Monthly (Per User, minimum 10 users)
Platforms
Web Browser
Release Date
2018 April
Startup details
Country
Germany
State
Berlin
City
Berlin
Founder(s)
Jan Hugenroth
Employees
10 - 19

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
    Flinkโ€™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.

Next Matter features and specs

No features have been listed yet.

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

Apache Flink videos

GOTO 2019 โ€ข Introduction to Stateful Stream Processing with Apache Flink โ€ข 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

Next Matter videos

Next Matter โ€“ Operations Automated

More videos:

  • Review - [Use Case] Regular Machine Maintenance Process โ€“ automated with Next Matter

Category Popularity

0-100% (relative to Apache Flink and Next Matter)
Big Data
100 100%
0% 0
Developer Tools
83 83%
17% 17
Stream Processing
100 100%
0% 0
Productivity
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 Next Matter

Apache Flink Reviews

We have no reviews of Apache Flink yet.
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Next Matter Reviews

10+1 Best Workflow Management Software 2024 For Maximum Efficiency
Next Matter offers a no-code platform, which makes it user-friendly for businesses of all sizes. One limitation, though, is the lack of advanced reporting and analytics tools. It supports integrations with popular business tools and offers robust automation capabilities.
Source: www.manifest.ly

Social recommendations and mentions

Based on our record, Apache Flink seems to be a lot more popular than Next Matter. While we know about 45 links to Apache Flink, we've tracked only 1 mention of Next Matter. 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 (45)

  • Gravitino - the unified metadata lake
    In the meantime, other query engine support is on the roadmap, including Apache Spark, Apache Flink, and others. - Source: dev.to / about 2 months ago
  • Towards Sub-100ms Latency Stream Processing with an S3-Based Architecture
    Many stream processing systems today still rely on local disks and RocksDB to manage state. This model has been around for a while and works fine in simple, single-tenant setups. Apache Flink, for example, uses RocksDB as its default state backend - state is kept on local disks, and periodic checkpoints are written to external storage for recovery. - Source: dev.to / 3 months ago
  • Introducing RisingWave's Hosted Iceberg Catalog-No External Setup Needed
    Because the hosted catalog is a standard JDBC catalog, tools like Spark, Trino, and Flink can still access your tables. For example:. - Source: dev.to / 3 months ago
  • When plans change at 500 feet: Complex event processing of ADS-B aviation data with Apache Flink
    I wrote a python based aircraft monitor which polls the adsb.fi feed for aircraft transponder messages, and publishes each location update as a new event into an Apache Kafka topic. I used Apache Flink โ€” and more specially Flink SQL, to transform and analyse my flight data. The TL;DR summary is I can write SQL for my real-time data processing queries โ€” and get the scalability, fault tolerance, and low latency... - Source: dev.to / 4 months ago
  • 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 / 5 months ago
View more

Next Matter mentions (1)

  • Ask HN: Who is hiring? (July 2022)
    Next Matter | Software Engineer | full-time | remote-first | European timezones | https://nextmatter.com Next Matter is a remote-first software company distributed across Europe and headquartered in Berlin, Germany. We are building a new automation platform for business operations. Having recently secured a $16M Series A funding round (read more on TechCrunch at https://tcrn.ch/3xLh04f), we are seeking product... - Source: Hacker News / over 3 years ago

What are some alternatives?

When comparing Apache Flink and Next Matter, 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.

Katonic MLOps Platform - Scale your machine learning development from research to production with an end-to-end solution that gives your data science team all the tools they need in one place.โ€‹โ€‹

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

datagran - All-in-one AI data workspace

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

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.