Software Alternatives, Accelerators & Startups

Apache Flink VS Flatlogic

Compare Apache Flink VS Flatlogic 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.

Flatlogic logo Flatlogic

AI-Powered Software Development for Startups and Businesses
  • Apache Flink Landing page
    Landing page //
    2023-10-03
Not present

Flatlogic specializes in building web-based business software and applications using AI and innovative technologies. Our platform, Flatlogic Generator, allows users to create custom SaaS, ERP, CRM, CMS, and other solutions quickly and efficiently, offering full code ownership and scalability. With a focus on enterprise applications, we help businesses save time and resources while delivering robust and customizable solutions. Contact us for software development, integration, and customization services.

Flatlogic

$ Details
freemium $20.0 / Monthly
Release Date
2022 October
Startup details
Country
Poland
City
Warsaw
Employees
20 - 49

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.

Flatlogic features and specs

  • Streamlined Development
    Flatlogic provides pre-built application templates that can significantly speed up the development process by reducing the need for manual coding.
  • Customization Options
    Offers various templates and layouts that can be customized to fit specific project requirements, providing flexibility for developers.
  • Modern Technologies
    Flatlogic uses modern technologies such as React, Angular, and Vue, making it easier to integrate with current software ecosystems.
  • Comprehensive Documentation
    Documentation is thorough, making it easier for developers to understand how to use the platform and get up and running quickly.
  • Responsive Design
    Templates are designed to be fully responsive, ensuring applications look good on both desktop and mobile devices.
  • User Support
    Provides good customer support, including options for live chat and ticketing, helping users resolve issues quickly.

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

Analysis of Flatlogic

Overall verdict

  • Overall, Flatlogic is considered a good choice for developers who need to expedite the web application development process without compromising quality. It caters to both beginners with its straightforward templates and experienced developers who can utilize its more advanced features.

Why this product is good

  • Flatlogic (flatlogic.com) is regarded as a useful platform for developers and businesses looking to create web applications quickly and efficiently. It offers a wide range of pre-built templates, starter kits, and full-stack web application generators that help in cutting down development time and focusing more on customizing the app to meet specific needs. Users appreciate the ease of use, comprehensive documentation, and the time saved in setting up the infrastructure from scratch.

Recommended for

    Flatlogic is recommended for startups, small to medium-sized businesses, and independent developers who want to accelerate the development of web applications. It's particularly beneficial for teams that need to launch projects quickly, those who have limited resources for building from scratch, and for educators or learners interested in understanding the structure of modern web applications.

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

Flatlogic videos

AI-Driven Business Software - Flatlogic App Generator

Category Popularity

0-100% (relative to Apache Flink and Flatlogic)
Big Data
100 100%
0% 0
Developer Tools
23 23%
77% 77
Stream Processing
100 100%
0% 0
Design Tools
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 Flatlogic. 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.

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 / 28 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 — can read and/or write Iceberg data directly. - Source: dev.to / about 2 months 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
View more

Flatlogic mentions (16)

  • AI Software Development: Trends for the Next 5 Years
    Work with Flatlogic, and step into the future of the next-generation AI software development today! - Source: dev.to / 3 months ago
  • Why Custom ERP is the Best Fit for Scaling Businesses
    So, why choose a system that only half-serves your business? Take control of your business operations today. Start building your custom ERP with Flatlogic’s code generator now! - Source: dev.to / 3 months ago
  • Best SAP Alternatives 2025: Choose the Right ERP
    Choose Flatlogic if you want to build a smart and effective ERP system that ensures agility and helps your business easily adapt in a fast-pressurized modern world. - Source: dev.to / 3 months ago
  • AI Web App Generators: Build in Minutes
    Of the AI web app generators listed, Flatlogic stands out with its customizable database schema, comprehensive authentication, and full-stack capabilities. Start building your dream app today with Flatlogic’s code generator. - Source: dev.to / 4 months ago
  • Best 10+ Open Source CRM Systems
    Tailored to the intricate needs of modern businesses, Flatlogic Custom CRM stands out by providing a CRM solution that isn’t just flexible — it’s entirely moldable to your business needs. Designed to serve as the backbone for customer relationship management, Flatlogic Custom CRM emerges from a powerful lineage of business software development, integrating seamlessly into various industries’ workflows. The system... - Source: dev.to / 11 months ago
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What are some alternatives?

When comparing Apache Flink and Flatlogic, 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.

ArchitectUI - Modern dashboard template for bootstrap 4

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

Soft UI Dashboard - Admin dashboard template for Bootstrap 5

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

DesignRevision - Powerful tools for web professionals