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AWS Data Pipeline Pricing

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Pricing Options

Premium Plans ( Subscription )

Pricing Plans

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Disclaimer: The pricing details were last updated on 16/03/2021 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

Pricing Insights for ETL Tools

  • The Average Cost of a basic ETL Tools plan is $72 per month.

  • AWS Data Pipeline pricing starts at $1/month, which is 99% lower than similar services.

  • 57% of ETL Tools offer a Free Trial Allows users to try out the software for a limited period before making a purchase decision. , while 24% offer a Freemium Model Allows users to access basic features at no cost..

AWS Data Pipeline FAQs

How much does AWS Data Pipeline cost?

The pricing for AWS Data Pipeline starts at $1.0 per month. AWS Data Pipeline has a single plan:

Does AWS Data Pipeline offer a free plan?

No, AWS Data Pipeline does not offer a free plan.

Learn more about AWS Data Pipeline pricing.

Compare AWS Data Pipeline Pricing Against Competitors

Product Name Starting Price ($) Billed Unit Free Trial Learn More
AWS Data Pipeline AWS Data Pipeline 1 per month - AWS Data Pipeline Pricing
AWS Glue AWS Glue 0.44 - - - AWS Glue Pricing
Etlworks Integrator Etlworks Integrator 300 per month - + Etlworks Integrator Pricing
ETLrobot ETLrobot 72 per month - + ETLrobot Pricing
Amazon Kinesis Amazon Kinesis - - - - Amazon Kinesis Pricing
Matillion ETL Matillion ETL 1.37 - - + Matillion ETL Pricing
Etleap Etleap - - - + Etleap Pricing
Amazon EMR Amazon EMR 0.04 - - - Amazon EMR Pricing
K3 K3 - - - - K3 Pricing
Amazon AppFlow Amazon AppFlow 0.02 - - - Amazon AppFlow Pricing

Free Software Alternatives to AWS Data Pipeline

AWS Data Pipeline Alternatives

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AWS Data Pipeline Features

ETL Tools Features

  • Features: The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more
    82%

Data Transformation

It helps in formatting the extracted data as specified in the target format.

Data Filtering

Helps in refining the data into datasets to form strategic groups

Data Extraction

Helps in extracts the data from different databases and files

Data Integration

Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user

Data Analysis

Helps in analyzing stored raw data and converting them into useful reports

Managed File Transfers

Ad-hoc file transfers solution using FTP, HTTP, and etc.

API Integration

It allows easy integration of logic or data with other software application.

Match & Merge

Helps matching data across multiple sources and to merge them for offering a better view to the data managers

Master Data Management

Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference

Data Quality Control

Helps in monitoring the quality of data input and processed

Metadata Management

Helps in administering and managing the data that describes other data

Compliance Tracking

Helps in tracking and monitoring and auditing all the regulatory compliance requirements

Version Control

It gives the team the ability to recall specific versions of a document, code, content, file, or folder that records changes over time.

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