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MECBot Pricing

Free Trial

Not available

Pricing Options

Premium Plans ( Quotation Based )

Pricing Plans

Disclaimer: The pricing details were last updated on 04/08/2020 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

Pricing Insights for Data Management Software

  • The Average Cost of a basic Data Management Software plan is $35 per month.

  • 33% of Data Management Software offer a Free Trial Allows users to try out the software for a limited period before making a purchase decision. , while 18% offer a Freemium Model Allows users to access basic features at no cost..

MECBot FAQs

How much does MECBot cost?

MECBot provides a custom pricing for their software.

Learn more about MECBot pricing.

Does MECBot offer a free plan?

No, MECBot does not offer a free plan.

Learn more about MECBot pricing.

Compare MECBot Pricing Against Competitors

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MECBot MECBot - - - MECBot Pricing
Semantic Fact Semantic Fact - - - - Semantic Fact Pricing
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Dataform Dataform 95 per month per user - Dataform Pricing
Datom Datom 100 - - + Datom Pricing
Databricks Databricks 0.07 - - - Databricks Pricing
Datascale Datascale 19 per month per user - Datascale Pricing
K2View K2View - - - + K2View Pricing
Atlan Discovery Atlan Discovery - - - + Atlan Discovery Pricing
dDriven dDriven - - - - dDriven Pricing

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MECBot Features

Data Management Features

  • Features: The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read More
    87%

Master Data Management

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

Data Capture

Helps in gathering and extracting data from documents and transforming them into computer-readable form

Data Migration

Facilitates transferring or shifting data between computer storage types and or file formats

Data Security

Ensures secure storage of data by encryption

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

Match & Merge

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

Information Governance

Allows adopting a holistic approach to govern or manage the corporate data

Data Quality Control

Helps in monitoring the quality of data input and processed

Customer Data

Helps in recording, accessing and managing customer information

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