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Statista VS Apache Flink

Compare Statista VS Apache Flink and see what are their differences

Statista logo Statista

The Statistics Portal for Market Data, Market Research and Market Studies

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
  • Statista Landing page
    Landing page //
    2023-07-17
  • Apache Flink Landing page
    Landing page //
    2023-10-03

Statista videos

Finding Statistics with STATISTA

More videos:

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

Category Popularity

0-100% (relative to Statista and Apache Flink)
Business & Commerce
100 100%
0% 0
Big Data
0 0%
100% 100
Technical Computing
100 100%
0% 0
Stream Processing
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Statista should be more popular than Apache Flink. It has been mentiond 98 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.

Statista mentions (98)

  • What is Email List Building? Everything You Need to Know.
    As of 2025, Statista.com projects a staggering 4.6 billion email users, highlighting the enduring power of email marketing. This blog is your guide to understanding and mastering email list building. Explore its significance, learn best practices, and glean actionable insights from real successes. Source: 7 months ago
  • Why do people keep blaming the UCP for homelessness and drug overdoses when these problems are same or worse in BC which has an NDP government?
    I can't speak for everyone here, but I doubt that most people are spending $79 USD/mo for a statista.com subscription. Source: 11 months ago
  • Women are hypergamous not for wanting the best man, but for not really having an upper limit on the qualities they desire in men
    The proof that the data doesn't exist? Go to statista.com and look for "bumble height" or any other search term you think is needed to find that chart. Then reflect on how nothing on the chart is how a scientific outlet would do a chart, and especially not Statista. This is done by an amateur who has no idea about designing charts that meet any scientific standard. Source: 12 months ago
  • With MUCH less marketing and MUCH smaller markets....the Women's College Basketball Finals absolutely crushed the NHL's playoff ratings.
    Outside of 2019/20 (COVID), revenue has been rising steadily. (statista.com). Source: about 1 year ago
  • Samsung's use of poo poo FedEx is frustrating
    For those who aren't aware, FedEx Ground is made up of independent contractors. FedEx Express is the original FedEx. Yes, by nature of the business, if you ship something FedEx ground it takes longer, and the longer it takes and the more hands that handle a package the more chance there is for loss, damage, or delay. If you ship something through FedEx Express you generally get things much faster and have a better... Source: about 1 year ago
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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 / 8 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 / 28 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
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What are some alternatives?

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

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

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

Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.

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

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

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