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AppDynamics VS Apache Flink

Compare AppDynamics VS Apache Flink and see what are their differences

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AppDynamics logo AppDynamics

Get real-time insight from your apps using Application Performance Management—how they’re being used, how they’re performing, where they need help.

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
  • AppDynamics Landing page
    Landing page //
    2023-10-10
  • Apache Flink Landing page
    Landing page //
    2023-10-03

AppDynamics features and specs

  • Comprehensive Monitoring
    AppDynamics provides end-to-end visibility across applications, infrastructure, and user experience. This helps in identifying performance issues quickly and accurately.
  • Real-time Analytics
    AppDynamics offers real-time monitoring and analytics, which enables immediate detection of anomalies and potential problems before they impact end-users.
  • Ease of Integration
    AppDynamics integrates easily with various platforms, technologies, and third-party services, providing flexibility and extending its usability in diverse environments.
  • Automated Root Cause Analysis
    The platform's advanced algorithms and AI capabilities help in automatically determining the root causes of performance issues, reducing the mean time to resolution.
  • User-friendly Interface
    AppDynamics has an intuitive and user-friendly interface which makes it easier for IT teams to use without extensive training.

Possible disadvantages of AppDynamics

  • Cost
    AppDynamics can be expensive, making it less accessible for smaller organizations or startups with limited budgets.
  • Complexity
    Due to its extensive features and capabilities, the platform can be complex to set up and configure, requiring a significant time investment for initial deployment.
  • Resource Intensive
    The monitoring and analytics processes can be resource-intensive, potentially impacting system performance especially in environments with limited resources.
  • Steep Learning Curve
    Despite its user-friendly interface, mastering the full range of AppDynamics' features and capabilities can take time and necessitate detailed learning.
  • Possible Overhead
    Integrating and running AppDynamics can add additional overhead to the system, which might be an issue in performance-sensitive scenarios.

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.

AppDynamics videos

+ Add

AppDynamics Acquired for $3.7 Billion | Crunch Report

More videos:

  • Review - AppDynamics CEO Talks Cisco Acquisition | Crunch Report
  • Review - Glassdoor Client Testimonial: AppDynamics

Apache Flink videos

+ Add

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 AppDynamics and Apache Flink)

AppDynamics

Apache Flink

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Big Data
0 0%
Big Data
100% 100
Log Management
100 100%
Log Management
0% 0
Stream Processing
0 0%
Stream Processing
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 AppDynamics and Apache Flink

AppDynamics Reviews

Top 10 Grafana Alternatives in 2024
AppDynamics is an APM tool that enables users to monitor application performance, pinpoint root causes for performance issues, get complete visibility into application ecosystems, extract real-time data insights, and automatically optimize the application environment.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
AppDynamics is an enterprise Application Performance Management (APM) solution known for its comprehensive monitoring capabilities. It provides in-depth visibility into application performance and user experiences, offering code-level diagnostics, transaction tracing, and real-time insights.
Source: signoz.io
10 Best Grafana Alternatives [2023 Comparison]
visibility into the health and performance of their applications. As an excellent alternative to Grafana, AppDynamics is particularly renowned for its end-user monitoring (EUM) capabilities, ensuring users are well-informed about end-user errors, issues, crashes, and page-loading details. This enables businesses to tap into valuable insights, swiftly and effortlessly...
Source: sematext.com
10 Best Website Monitoring Services and Tools of 2022
AppDynamics is another website availability monitoring software that helps you detect anomalies and helps you run your business smoothly. The software allows you to track the visual revenue paths with the help of tracked customer or application experience in order to fix the ongoing website issues. Moreover, the tool allows you to monitor every click, swipe, and tap in order...
Source: www.hostingseekers.com
8 Dynatrace Alternatives to Consider in 2021
Cisco’s APM, AppDynamics, is a proactive performance monitoring platform that ensures success for its users, primarily businesses. They focus on observability of the software and application. AppDynamics uses AI-powered insights and focuses on visibility to support application improvement and business performance for their applications.
Source: scoutapm.com

Apache Flink Reviews

We have no reviews of Apache Flink yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Flink seems to be more popular. It has been mentiond 40 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.

AppDynamics mentions (0)

We have not tracked any mentions of AppDynamics yet. Tracking of AppDynamics recommendations started around Mar 2021.

Apache Flink mentions (40)

  • 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 / 13 days 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 / 18 days 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 / 23 days 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 1 month ago
  • Exploring the Power and Community Behind Apache Flink
    In conclusion, Apache Flink is more than a big data processing tool—it is a thriving ecosystem that exemplifies the power of open source collaboration. From its impressive technical capabilities to its innovative funding model, Apache Flink shows that sustainable software development is possible when community, corporate support, and transparency converge. As industries continue to demand efficient real-time data... - Source: dev.to / 2 months ago
View more

What are some alternatives?

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

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

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

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

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

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