Software Alternatives, Accelerators & Startups

DocRaptor VS Google BigQuery

Compare DocRaptor VS Google BigQuery and see what are their differences

DocRaptor logo DocRaptor

As the only API powered by the Prince HTML-to-PDF engine, DocRaptor provides the best support for complex PDFs with powerful support for headers, page breaks, page numbers, flexbox, watermarks, accessible PDFs, and much more
Visit Website

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • DocRaptor Landing page
    Landing page //
    2021-06-30

Uniquely Powerful PDF Generation

Only DocRaptor's HTML-to-PDF API has these advanced styling and layout capabilities:

Easy Headers & Footers

Instead of a separate HTML file, DocRaptor headers and footers are part of your document HTML. And easily show (or hide) different headers and footers for different pages.

Mixed Layout, Sizes & Headers

DocRaptor lets you control the style, sizing, headers, and layouts of individual pages in your document. You can even style left and right pages differently, or the first and last pages.

CSS Flexbox

DocRaptor lets you make PDFs with advanced CSS layout tools, including flexbox. You won't need to radically adjust your website to get a great PDF.

Accessible, Tagged PDFs

Create more accessible PDFs by using PDF profiles PDF/A-1a, PDF/A-3a, or PDF/UA-1. Tagged PDFs optimize the reading experience for assistive technology such as screen readers.

Fine-Tune Page Breaks

Our rendering engine was built specifically for making PDFs and we fully support CSS3 Paged Media. This allows much greater control over page breaks, especially when dealing with tables and images.

…and more!

Add crop marks, specify PDF bookmarks, or create standards-compliant documents.

Unmatched Scale & Reliability

We back our API with a 99.999% uptime guarantee. If you need reliability, DocRaptor is the service you can trust. We also have no limits on document input or output size.

  • Google BigQuery Landing page
    Landing page //
    2023-10-03

DocRaptor

$ Details
paid Free Trial $15.0 / Monthly (125+ Documents)
Platforms
REST API PHP Java JavaScript Ruby Drupal Python Node JS Laravel Cross Platform .Net Generic HTTP API Cloud
Release Date
2010 May

DocRaptor videos

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

+ Add video

Google BigQuery videos

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Category Popularity

0-100% (relative to DocRaptor and Google BigQuery)
PDF Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Office & Productivity
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

Share your experience with using DocRaptor and Google BigQuery. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare DocRaptor and Google BigQuery

DocRaptor Reviews

  1. Cool app

    I've been using it for a while. It's great to create contracts.

    🏁 Competitors: pdfmatrix.com
  2. Great app - resolves the limitations of other doc/merge apps

    We wanted an app that would allow for custom branding and layout, the font of our choice, and merge fields across our main SF objects. Previously we used DocGen, which led to a morass of configuration to put fields in exactly the place they needed to be for the tables, as well as a bunch of SOQL queries to manage conditional logic. The VF doc generator can't accommodate the fonts we use in our branding. And so DocRaptor has been the perfect solution.

    Our developer built the contracts, and we went live within weeks with complete branding, flexibility in the data merges (we were able to remove a ton of bad config) and it's easy to manage.

    👍 Pros:    Flexible|Great customer support|Super fast
  3. The best HTML to PDF solution

    I have been using DocRaptor for 6 years, both for my professionnal and personnal projects. After trying several free and/or open source HTML to PDF solutions, I was happy to find this service. It's the most efficient solution, which generates the most accurate PDF documents.

    Since it's a SaaS service, there is nothing to install, no library dependencies nor experimental software that you're not sure it will be supported in the future.

    There is a lot of options and CSS rules to dig in if you want to get PDF files that exactly matches what you want. But the other solutions I tried didn't have these options, and the result was not good enough.

    👍 Pros:    Simple api|No dependencies|Best pdf result|A lot of options to help you create the pdf you need|Good customer support
    👎 Cons:    A lot of css rules to learn if you want to get the perfect pdf of your dreams... but at least these rules exist!

14 Best PDF APIs for Every Business Need
DocRaptor is an HTML-to-PDF API that empowers you with unmatched scalability and reliability. Even if you need thousands of PDF documents every day, it can handle your requirements. It also guarantees 99.999% uptime and has no restrictions on the input and output size of the files.
Source: geekflare.com
Best BFO Java PDF Library Alternatives (2024) for your project
DocRaptor is a service that is hosted in the cloud and generates PDF documents from HTML and CSS in a seamless manner. Because it enables developers to easily convert web information into PDFs of excellent quality, it is a convenient solution for projects in which HTML-to-PDF conversion is a primary requirement.

Google BigQuery Reviews

Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than DocRaptor. It has been mentiond 35 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.

DocRaptor mentions (4)

  • Launch HN: Onedoc (YC W24) – A better way to create PDFs
    It sounds like this is as advanced as DocRaptor[1]. They have what I consider to be the best PDF generation API, giving complete control over the documents you need to create. The pricing is similar. If you'd rather do it for free weasyprint[2] is the best open source alternative. Another more affordable option you might want to consider is Urlbox[3]. (Disclosure: I work on this) Urlbox's rendering engine is based... - Source: Hacker News / 2 months ago
  • How do you generate PDF reports from HTML?
    We built the DocRaptor API to let developers have affordable access to the commercial Prince PDF engine. We have Node code examples throughout the documentation. Source: over 1 year ago
  • What is the best online HTML to PDF converter?
    I'd argue our service, DocRaptor, is the best because it's the only one powered by the Prince PDF engine. Unlike open-source, browser-based conversion engines, Prince was custom-built just for converting HTML into PDFs and offers a lot of unique functionality for making more complex PDFs. Source: almost 2 years ago
  • Is it possible to render a RazorPage (inc. CSS) to a PDF file and download via WebAPI?
    I work for https://docraptor.com, which is an HTML to PDF API. We have a C# agent. Source: almost 3 years ago

Google BigQuery mentions (35)

  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 8 months ago
  • Modern data stack: scaling people and technology at FINN
    Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 9 months ago
  • Running Transformations on BigQuery using dbt Cloud: step by step
    Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 9 months ago
  • Do I need a cloud computing–based data cloud company
    You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago
  • I used ChatGPT to get an Internship
    Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago
View more

What are some alternatives?

When comparing DocRaptor and Google BigQuery, you can also consider the following products

PDFCrowd - Pdfcrowd is a Web/HTML to PDF online service. Convert HTML to PDF online in the browser or in your PHP, Python, Ruby, .NET, Java apps via the REST API.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.