Amazon EMR

Amazon EMR

Amazon
PDFBox

PDFBox

Apache Software Foundation
+
+

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About

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting.

About

The Apache PDFBox® library is an open-source Java tool for working with PDF documents. This project allows the creation of new PDF documents, manipulation of existing documents and the ability to extract content from documents. Apache PDFBox also includes several command-line utilities. Apache PDFBox is published under the Apache License v2.0. Extract Unicode text from PDF files. Split a single PDF into many files or merge multiple PDF files. Extract data from PDF forms or fill a PDF form. Validate PDF files against the PDF/A-1b standard. Print a PDF file using the standard Java printing API. Create a PDF from scratch, with embedded fonts and images. Save PDFs as image files, such as PNG or JPEG and digitally sign PDF files. See also the export control information related to the encryption features included in Apache PDFBox.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks

Audience

Individuals and companies seeking an open source Java tool for working with PDF documents

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/emr/

Company Information

Apache Software Foundation
Founded: 1999
United States
pdfbox.apache.org

Alternatives

AWS Glue

AWS Glue

Amazon

Alternatives

iText

iText

Apryse
JPedal

JPedal

IDR Solutions
E-MapReduce

E-MapReduce

Alibaba
pdfRest API Toolkit

pdfRest API Toolkit

Datalogics Inc.
Apache Spark

Apache Spark

Apache Software Foundation
KDAN PDF

KDAN PDF

Kdan Mobile Software

Categories

Big Data Supported

Categories

PDF Supported
PDF APIs Supported
PDF Merge Supported
PDF Printers Supported
PDF SDK Supported
PDF Splitters Supported

Integrations

AWS Data Exchange Supported
AWS Lake Formation Supported
Apache HBase Supported
Apache Hive Supported
Apache Phoenix Supported
EC2 Spot Supported
Lyftrondata Supported
New Relic Supported
Okera Supported
Pelanor Supported
Privacera Supported
Quorso Supported
SAS Studio Supported
Tecton Supported
Tonic Ephemeral Supported
TrustLogix Supported
Unravel Supported
Veza Supported

Integrations

AWS Data Exchange Not Supported
AWS Lake Formation Not Supported
Apache HBase Not Supported
Apache Hive Not Supported
Apache Phoenix Not Supported
EC2 Spot Not Supported
Lyftrondata Not Supported
New Relic Not Supported
Okera Not Supported
Pelanor Not Supported
Privacera Not Supported
Quorso Not Supported
SAS Studio Not Supported
Tecton Not Supported
Tonic Ephemeral Not Supported
TrustLogix Not Supported
Unravel Not Supported
Veza Not Supported
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