Storing and Managing Documents with Amazon AWS: Feasibility, Costs, and Why Docupile Makes It Better
So, you’re thinking about using Amazon AWS to store and manage your documents? Smart move! AWS offers some of the best tools out there for document storage and retrieval.
AWS offers powerful services like Amazon Storage (S3) and Amazon Analytics Offerings (Athena, Glue, and Redshift) that can help you handle documents efficiently. But let’s not just talk about the “how”; let’s also discuss the expertise, time, and cost involved—and whether it might make sense to let a specialized service like Docupile handle it for you.
Getting Started with AWS Storage and Analytics

Storing Your Documents with Amazon S3
Amazon S3 (Simple Storage Service) is a top-tier storage option for storing files of any type—PDFs, images, logs, or scanned documents.
Managing and Querying Data with Amazon Analytics Offerings
Amazon Athena
Athena lets you run SQL queries directly on documents stored in S3, making it ideal for retrieving specific information from your files.
AWS Glue
Glue helps automate ETL (Extract, Transform, Load) processes, cleaning and preparing document data for analysis in Athena or Redshift.
Amazon Redshift (Optional)
For more extensive analytics, Redshift serves as a high-performance data warehouse where structured data from your documents can be queried and analyzed.
Time and Expertise Requirements
Setting up and managing these services demands significant time and expertise. Tasks like creating metadata schemas, configuring workflows, and running queries require:
- Cloud Engineers: For S3 setup and maintenance.
- Data Engineers: For ETL pipelines and Glue configuration.
- SQL Analysts: For creating and optimizing queries.
- IT Administrators: For ongoing monitoring and troubleshooting.
Collectively, these roles take considerable hours upfront and on an ongoing basis.
High-Impact Document Management Without the Overhead
Let’s explore how Docupile’s features can replace the need for each of the following AWS analytics offerings, helping you simplify your operations while still gaining data insights.
Amazon Athena
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AWS Athena is a serverless, interactive query service that analyzes data in Amazon S3 using SQL.
Amazon CloudSearch
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AWS CloudSearch specializes in indexing and full-text search of large data collections.
Amazon EMR
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Amazon EMR is a managed big data platform that supports data processing through frameworks like Hadoop and Spark.
Amazon Kinesis Data Firehose
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Real-time data streaming with AWS Kinesis Data Firehose is useful in scenarios where there is continuous data usage.
Amazon Kinesis Data Streams
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For real-time data ingestion, AWS Kinesis Data Streams is a go-to.
Amazon Kinesis Video Streams
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Kinesis Video Streams captures and stores video streams, which is useful for video data.
Amazon Apache Flink
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Apache Flink enables real-time stream processing, which is powerful for data-heavy workflows.
Amazon Apache Kafka
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For high-throughput streaming, Apache Kafka is widely used.
Amazon OpenSearch Service
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OpenSearch supports powerful indexing for analytics.
Amazon QuickSight
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QuickSight is a Business Intelligence tool that creates dashboards for data analysis
AWS Data Exchange
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For data exchange across entities, AWS Data Exchange is powerful but complex.
AWS Glue
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AWS Glue simplifies Extract, Transform, Load (ETL) processes for data integration.
AWS Lake Formation
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AWS Lake Formation is useful for creating secure data lakes.
Docupile is a powerful, and all-in-one solution for businesses to manage and analyze their documents. That too, without the need for multiple AWS tools.
Just this one will do! From search and data organization to real-time workflows and security. Docupile simplifies document management and data analysis by providing versatile and efficient tool to businesses.