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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

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

Alternatives

Alternatives

iText

iText

Apryse
JPedal

JPedal

IDR Solutions
E-MapReduce

E-MapReduce

Alibaba
pdfRest

pdfRest

Datalogics Inc.
Apache Spark

Apache Spark

Apache Software Foundation
jPDFEditor

jPDFEditor

Qoppa Software

Categories

Categories

Integrations

AWS App Mesh
AWS Data Pipeline
Amazon S3 Express One Zone
Amazon SageMaker Data Wrangler
Amazon SageMaker Studio
Apache Spark
Ataccama ONE
Feast
Lyftrondata
MetricFire
Okera
Pepperdata
Protegrity
Quorso
Tecton
Tonic Ephemeral
TrustLogix
definity

Integrations

AWS App Mesh
AWS Data Pipeline
Amazon S3 Express One Zone
Amazon SageMaker Data Wrangler
Amazon SageMaker Studio
Apache Spark
Ataccama ONE
Feast
Lyftrondata
MetricFire
Okera
Pepperdata
Protegrity
Quorso
Tecton
Tonic Ephemeral
TrustLogix
definity
Claim Amazon EMR and update features and information
Claim Amazon EMR and update features and information
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