Compare Sprinkle Data vs CluedIn

Summary

Sprinkle Data is a platform that enables its users to democratize data and AI for the entire organization, including analytics, business and data science teams in real-time. The software provides its users with an intuitive and easy-to-use interface, which helps to integrate data from any source. Moreover, users can also automate data pipelines, combine datasets, and build machine learning models above the leading Cloud and Open-Source Data Lakes. It provides its users with self-service analytics by unlocking enterprise data via a simple search and powerful reporting service. Sprinkle Data software enables its user to connect, join and enrich data from multiple sources into a single platform with the integrations provided by the software. The smart indexing and caching algorithms of the software help its users to scale to billions of records and get faster results. The software enables its users to ask questions and get instant answers on their data through search powered by the Sprinkle knowledge graph. ..show more

CluedIn is a master data management solution that helps organizations achieve reliable and easier access to necessary data scattered across their business. It features quality dashboards indicating data that need detailed attention. With CluedIn, users can easily automate multiple data restoration and modification programs like fixing phone numbers, addresses, and more. Automated data profiling metrics featured by the platform, offers a comprehensive view of the existing data. Also, users get access to ELT-based connectors ingesting data with zero upfront transformation. Data blending becomes automatic with CluedIn, saving a lot of time for data flow maintenance. Data standardizing, Graph-based modeling, Data streaming to any system, etc., are some of the other vital metrics featured by the software, ensuring data unification. Additionally, users also get access to adequate support in Data Lake project fixing, Metadata standardization, seamless integration, and more. CuedIn eliminates standard complexities integrated within traditional MDM systems. ..show more

Customer Data Helps in recording, accessing and managing customer information

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

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

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

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

Data Quality Control Helps in monitoring the quality of data input and processed

Data Security Ensures secure storage of data by encryption

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

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

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

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