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Ascend Pricing

Free Trial

Not available

Pricing Options

Freemium ( Limited Features )

Premium Plans ( Quotation Based )

Pricing Plans

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Disclaimer: The pricing details were last updated on 11/10/2022 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.

  • 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..

Ascend FAQs

How much does Ascend cost?

The pricing for Ascend starts at $0.01 per credits per minute*. Ascend has 3 different plans:

  • Standard (Ascend Dedicated) at $0.01.
  • Enterprise (Ascend Dedicated) at $0.02.
  • Hosted (Ascend Dedicated Packages) at $0.04.
    • Ascend offers a Free Plan with limited features. They also offer an Enterprise Plan for their product.

      Learn more about Ascend pricing.

Does Ascend offer a free plan?

Yes, Ascend offers a free plan.

Learn more about Ascend pricing.

Compare Ascend Pricing Against Competitors

Product Name Starting Price ($) Billed Unit Free Trial Learn More
Ascend Ascend 0.01 - - Ascend Pricing
Etleap Etleap - - - + Etleap Pricing
Matillion ETL Matillion ETL 1.37 - - + Matillion ETL Pricing
ETLrobot ETLrobot 72 per month - + ETLrobot Pricing
Etlworks Integrator Etlworks Integrator 300 per month - + Etlworks Integrator Pricing
ETL Framework ETL Framework 2000 - - - ETL Framework Pricing
Fivetran Fivetran - - - + Fivetran Pricing
Datagaps ETL Validator Datagaps ETL Validator - - - + Datagaps ETL Validator Pricing
K3 K3 - - - - K3 Pricing
Optimus Mine Optimus Mine - - - + Optimus Mine Pricing

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Ascend 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
    98%

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

API Integration

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

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

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.

Match & Merge

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

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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