Compare DataGekko vs CluedIn

Summary

DataGekko lets its users collect, process, store, manage and query data from their globally distributed devices and systems. It is a fully managed enterprise-grade metrics as a service solution. The use cases of the software include metrics-driven Internet of things, system monitoring, industrial telemetry, analytics, business intelligence, and games. Precision storage and querying of metrics take milliseconds, and the software set-up is easy. The solution also offers high availability and high data retention and stores the data in its raw form. It features real-time analytics as well, which lets users draw insights from the stream of data. In order to start using the service, users can simply sign up on their website and navigate to the dashboard to begin creating and sharing projects. They can also write a script to send data to DataGekko's endpoints, using the MQTT client of their choice. The software relies on 256-bit encryption for security and provides detailed instructions on its website. ..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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