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Logstash Pricing

Free Trial

Available

Pricing Options

Premium Plans ( Subscription )

Pricing Insights for ETL Tools

  • The Average Cost of a basic ETL Tools plan is $77 per month.

  • Logstash pricing starts at $16/month, which is 79% 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..

Pricing Plans

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Disclaimer: The pricing details were last updated on 23/03/2021 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

Logstash FAQs

How much does Logstash cost?

The pricing for Logstash starts at $16.00 per month. Logstash has 4 different plans:

  • Standard at $16.00 per month.
  • Gold at $19.00 per month.
  • Platinum at $22.00 per month.
  • Enterprise at $30.00 per month.

Does Logstash offer a free plan?

No, Logstash does not offer a free plan.

Learn more about Logstash pricing.

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Logstash 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
    73%

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 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.

Data Extraction

Helps in extracts the data from different databases and files

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

Data Integration

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

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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