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Apache Flink VS Serilog

Compare Apache Flink VS Serilog 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.

Serilog logo Serilog

Backend Development and Utilities
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Serilog Landing page
    Landing page //
    2020-01-19

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

Serilog videos

SnapDevelop API Logging with Serilog and Seq

More videos:

  • Review - Thrashing Code Session C# A004 - Jetbrains Rider Env Var Explained - Serilog Logging - Travis CI

Category Popularity

0-100% (relative to Apache Flink and Serilog)
Big Data
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Stream Processing
100 100%
0% 0
Log Management
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 Serilog. It has been mentiond 30 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 (30)

  • Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust
    Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 2 days ago
  • Array Expansion in Flink SQL
    I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 22 days ago
  • 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 / about 1 month 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 / 2 months 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 / 4 months ago
View more

Serilog mentions (13)

  • C# PeriodicTimer
    If there are any runtime exceptions they are written to a log file using SeriLog. In source project see folder SampleLogFile for samples of the error log file. - Source: dev.to / 19 days ago
  • Using toast notifications in Windows Forms
    Captured in public static void OnActivated() and note Log is SeriLog. - Source: dev.to / 12 months ago
  • EF Core Handling Concurrency Conflicts
    📌 Serilog NuGet package is used to log what goes on under the covers which will help to better understand how dealing with concurrency conflicts works and what information is available to a developer. - Source: dev.to / over 1 year ago
  • Lnav – An advanced log file viewer for the small-scale
    Take a look at the docs linked on the main page of Serilog[1] and the various videos[2] and blog posts[3] by the devs who make Seq. [1]: https://serilog.net/ [2]: https://datalust.co/ [3]: https://blog.datalust.co/. - Source: Hacker News / over 1 year ago
  • Three NuGet packages to improve exceptions in .NET/C#
    It surprised me for a bit, because Serliog's whole thing is "structured events ... Structured event data" (from https://serilog.net/ ). Source: almost 2 years ago
View more

What are some alternatives?

When comparing Apache Flink and Serilog, 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.

log4net - log4net is a tool to help the programmer output log statements to a variety of output targets.

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

Logmatic - Logmatic is a log centralization, analytics & visualization platform to improve software & business performance.

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

NLog - NLog is a free logging platform for .NET with rich log routing and management capabilities.