Compare Delphix vs Arcade Analytics

Summary

The Delphix Dynamic Data Platform accelerates digital transformation for companies across the globe. It allows data to be securely delivered to stakeholders across cloud, on-premise, and in hybrid environments. This is done at a scale and speed which is required to enable quick delivery and development of solutions and applications. The platform allows companies to manage distribution and access data with the simplicity, speed, and level of security that is needed to drive data-driven transformation. Additionally, a broad spectrum of systems is supported by the software including ERP applications, Oracle databases, and Kubernetes containers. One of the most significant capabilities is the ability to sync data from private to public clouds. Also, the journey to the cloud system is accelerated, along with the adoption of disruptive AI technologies. By supporting a wide selection of data operations, Delphix automates data compliance for privacy regulations and enables modern CI/CD workflows. ..show more

Arcade Analytics is a software allowing users to visualize data into graphs and charts. The key feature of this tool is to create easy-to-understand visualizations from complex data using queries. It runs on top of the database and users can query the database to get the data in a visual format. Arcade cloud lets users access their analytics and data from anywhere and the insights can be shared with the team and clients. The connectors visually represent relationships and connections within their datasets. There are a plethora of options that allow users to find meaningful relationships and connections. These options include changing the size, colour, background image, and layout of nodes, and filtering the visualization to only see certain sections of the data. The software integrates with many popular Relational and Graph Databases including Oracle, MySQL, PostgresSQL, Neo4j, OrientDB, TigerGraph, and JanusGraph. ..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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