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Doczilla VS IBM Cloud Pak for Data

Compare Doczilla VS IBM Cloud Pak for Data and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

IBM Cloud Pak for Data logo IBM Cloud Pak for Data

Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
  • 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
  • IBM Cloud Pak for Data Landing page
    Landing page //
    2023-02-11

Doczilla features and specs

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

IBM Cloud Pak for Data 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

IBM Cloud Pak for Data videos

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IBM Cloud Pak for Data - Product Walkthrough

More videos:

  • Review - Overview of IBM Cloud Pak for Data

Category Popularity

0-100% (relative to Doczilla and IBM Cloud Pak for Data)

Doczilla

IBM Cloud Pak for Data

PDF Tools
100 100%
PDF Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Data Integration
0 0%
Data Integration
100% 100

Questions and Answers

As answered by people managing Doczilla and IBM Cloud Pak for Data.

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 IBM Cloud Pak for Data. 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 IBM Cloud Pak for Data

Doczilla Reviews

  1. Great product

    Well written docs, easy to use.

IBM Cloud Pak for Data Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
IBM Cloud Pak for Data is a fully-integrated, cloud native, data and AI platform designed for sophisticated DataOps and business analytics solutions. IBM boasts a potential for a 25-65% reduction in extract, transform, load (ETL) requests by eliminating the complexities of data integration of different data types and structures using Cloud Pak for Data. You can customize...
Source: theqalead.com

What are some alternatives?

When comparing Doczilla and IBM Cloud Pak for Data, 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.

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

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

data.world - The social network for data people

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

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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