Software Alternatives, Accelerators & Startups

Apache Flink VS AWS CloudTrail

Compare Apache Flink VS AWS CloudTrail 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.

AWS CloudTrail logo AWS CloudTrail

AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • AWS CloudTrail Landing page
    Landing page //
    2023-04-18

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

AWS CloudTrail videos

AWS Cloudtrail vs Cloudwatch in 15 minutes | AWS tutorial for beginners

More videos:

  • Review - AWS re:Invent 2018: Augmenting Security & Improving Operational Health w/ AWS CloudTrail (SEC323)

Category Popularity

0-100% (relative to Apache Flink and AWS CloudTrail)
Big Data
100 100%
0% 0
API Tools
0 0%
100% 100
Stream Processing
100 100%
0% 0
APIs
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 AWS CloudTrail. It has been mentiond 28 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 (28)

  • 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 / 12 days 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 / about 1 month 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 / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
View more

AWS CloudTrail mentions (13)

  • Programmatically reacting to S3 bucket external access exposures
    It uses CloudTrail events up to 90 days in the past and creates a tailor-made policy for the role based on the activity. - Source: dev.to / 9 months ago
  • AWS Security Survival Kit
    We know that CloudTrail is the bare minimum service to activate on a newly created AWS Account to track all activities on your AWS account. It helps, but this will not alert you to suspicious activities by itself. You still have to check periodically if something has gone wrong in multiple services and the console. - Source: dev.to / 9 months ago
  • Receiving Slack notifications when CloudTrail logging gets turned off
    Amazon CloudTrail is the surveillance camera for our accounts. It records every API call that any users or roles make. If we have multiple accounts set up in AWS Organizations, we can create a central trail in the management account. We can then enable logging to all accounts and all regions. Or, if we use Control Tower to set up the account structure, we don't need to do anything because it will automatically... - Source: dev.to / 10 months ago
  • Cloud Test Automation on AWS: The Role of QA Engineers
    Monitoring solutions - Familiarity with monitoring solutions like Amazon CloudWatch and AWS CloudTrail allows QA Engineers to proactively identify and address performance issues, ensuring optimal system functionality. - Source: dev.to / 11 months ago
  • 6 Best Practices for AWS Monitoring
    One of the first steps in AWS monitoring is to enable CloudTrail logging. This service allows you to track all API activity in your AWS account, including the actions taken by users, roles, and services. By enabling CloudTrail, you can get a complete picture of who is doing what in your AWS account and identify any unusual activity that could indicate a security issue. Source: about 1 year ago
View more

What are some alternatives?

When comparing Apache Flink and AWS CloudTrail, 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.

Postman - The Collaboration Platform for API Development

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

DreamFactory - DreamFactory is an API management platform used to generate, secure, document, and extend APIs.

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

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.