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Sprinkle Data Pricing

Free Trial

Available

Pricing Options

Premium Plans ( Quotation Based )

Pricing Plans

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Disclaimer: The pricing details were last updated on 03/12/2019 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 $32 per month.

  • 32% 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 21% offer a Freemium Model Allows users to access basic features at no cost..

Sprinkle Data FAQs

How much does Sprinkle Data cost?

Sprinkle Data provides a custom pricing for their software.

Learn more about Sprinkle Data pricing.

Does Sprinkle Data offer a free plan?

No, Sprinkle Data does not offer a free plan.

Learn more about Sprinkle Data pricing.

Compare Sprinkle Data Pricing Against Competitors

Product Name Starting Price ($) Billed Unit Free Trial Learn More
Sprinkle Data Sprinkle Data - - - Sprinkle Data Pricing
Iteratively Iteratively 500 per month - - Iteratively Pricing
Dataiku DSS Dataiku DSS - - - - Dataiku DSS Pricing
Askdata Askdata 4 per month - - Askdata Pricing
Data Monkey Data Monkey - - - - Data Monkey Pricing
Datamade Datamade 0.08 - - + Datamade Pricing
Datature Datature 99 per month - - Datature Pricing
Semantic Fact Semantic Fact - - - - Semantic Fact Pricing
Lotame Lotame - - - - Lotame Pricing
Workato Workato - - - + Workato Pricing

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Sprinkle Data 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
    97%

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

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

Data Capture

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

Customer Data

Helps in recording, accessing and managing customer information

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

Data Migration

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

Sprinkle Data Integrations

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