Software Alternatives, Accelerators & Startups

Apache Flink VS FME by Safe

Compare Apache Flink VS FME by Safe 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.

FME by Safe logo FME by Safe

FME is an integrated collection of Spatial ETL tools for data transformation and data translation.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • FME by Safe Landing page
    Landing page //
    2023-04-25

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

FME by Safe videos

https://engage.safe.com/training/recorded/

Category Popularity

0-100% (relative to Apache Flink and FME by Safe)
Big Data
87 87%
13% 13
Stream Processing
100 100%
0% 0
Databases
76 76%
24% 24
Data Warehousing
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 FME by Safe. 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 / 7 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 / 27 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

FME by Safe mentions (3)

  • Where can I learn the basics of FME and ETL in GIS?
    Safe.com has all the resources you could ever imagine. Safe also offers a free at home license. Source: almost 2 years ago
  • Best paid ELT tool for a startup
    We have had a lot of success with FME from safe.com. Covers all your reqs. You can get a decent free trail and have a cloud version also. Top of my head its around £800 per licence - alongside there ifra server. We are exploring FME cloud at the moment which will give us a PAYG option. Source: almost 2 years ago
  • Everything about Google Chrome’s Latest Update: Version 90
    In the competition for (HTTP:// vs HTTPS://), HTTPS certainly wins as it is a safer navigation option for users. This implies if you visit a website let us say ‘safe.com’ on your browser, Google will load the website as https://safe.com. Here, Google discards the usual http://safe.com completely making the ‘HTTPS’ default. - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing Apache Flink and FME by Safe, 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.

Microsoft Azure Data Lake - Azure Data Lake is a real-time data processing and analytics solution that works across platforms and languages.

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

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

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

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.