Software Alternatives, Accelerators & Startups

Doczilla VS Apache Flink

Compare Doczilla VS Apache Flink and see what are their differences

Doczilla logo Doczilla

Effortlessly create stunning PDFs and screenshots. Seamlessly store them in your own AWS or Google Cloud Storage bucket, putting the control and creativity right at your fingertips.

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
  • Doczilla Product screenshots
    Product screenshots //
    2024-01-10
  • Doczilla Effortlessly create PDFs
    Effortlessly create PDFs //
    2024-01-10
  • Doczilla Effortlessly create screenshots
    Effortlessly create screenshots //
    2024-01-10
  • Apache Flink Landing page
    Landing page //
    2023-10-03

Doczilla features and specs

  • Queuing: Yes
  • AWS/GCP signed urls: Yes
  • Templates: Yes
  • Adblocker: Yes

Apache Flink features and specs

No features have been listed yet.

Doczilla videos

No Doczilla videos yet. You could help us improve this page by suggesting one.

+ Add video

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 Doczilla and Apache Flink)
PDF Tools
100 100%
0% 0
Big Data
0 0%
100% 100
Developer Tools
49 49%
51% 51
Stream Processing
0 0%
100% 100

Questions and Answers

As answered by people managing Doczilla and Apache Flink.

What's the story behind your product?

Doczilla's answer

At Doczilla, we embarked on a mission driven by necessity. Faced with the challenge of converting HTML into polished documents and images, we scoured the landscape for a solution that aligned perfectly with our needs. Surprisingly, we found none that matched our specific use case.

Our platform is our response to this gap. We've designed a fully managed API dedicated to simplifying the creation of PDFs and screenshots.

User comments

Share your experience with using Doczilla and Apache Flink. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Doczilla and Apache Flink

Doczilla Reviews

  1. Great product

    Well written docs, easy to use.

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 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.

Doczilla mentions (0)

We have not tracked any mentions of Doczilla yet. Tracking of Doczilla recommendations started around Jan 2024.

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 / 3 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 / 23 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 Doczilla and Apache Flink, you can also consider the following products

pdflayer - Free, powerful HTML to PDF API supporting both URL and raw HTML conversion. Unlimited document size, lightning-fast and compatible PHP, Python, Ruby, etc.

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

Doppio.sh - From HTML to PDF or PNG with the world leading rendering technology

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

PDFShift - Convert any HTML documents to high-fidelity PDF using a single POST request

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