Compare Panoply vs Flatly

Summary

Panoply enables its users to sync and store their data from various sources while exploring their data with SQL or visualize it with their preferred BI and analytics tools. The software is an easy to use platform that enables users to collect and combine their data without any technical knowledge or coding. It combines automated data integrations, and cloud data warehouse infrastructure. The automation is driven by AI to provide its users with the best data infrastructure as a service. Users can connect their preferred tools on an intuitive and straightforward user interface. Panoply enables its users to collect data from popular applications such as HubSpot, Salesforce, Shopify, etc. The software allows for its users to simplify the collection and transformation of their data through an ELT approach while also transforming noSQL data from Dynamo DB and Mongo DB into tables automatically. Users can parse, ingest and structure TSC and CSV, JSON, XLS and the server log files in an easy to access table. ..show more

Flatly is a SaaS software that enables automatic data export from different sources to Google sheets, Excels, OneDrive, Google Drive and more. The software is compatible with 10,000+ banks and 40+ business apps like Clockify, Copper, Eventbrite, Freshdesk etc. The ETL system empowers users to export their API data resources into different flat files, facilitating better collaboration, custom analytics, connectivity and backup to the best BI apps and dashboard. A continuous refresh feature within the software, keeps the flat files up to date in accordance with the data changes in source apps. Further, Flatly takes a maximum of 10 minutes to refresh the entire data export cycle. Users can also use the solution to export left and joined combos like contacts or deals. Granular job architecture technology within Flatly, ensures export to multiple folders or clouds. High-capacity and write options, are other highlighted features available within Flatly. It also comes with a secure architecture of its own. ..show more

API Integration It allows easy integration of logic or data with other software application.

Compliance Tracking Helps in tracking and monitoring and auditing all the regulatory compliance requirements

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

Data Extraction Helps in extracts the data from different databases and files

Data Filtering Helps in refining the data into datasets to form strategic groups

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

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

Data Transformation It helps in formatting the extracted data as specified in the target format.

Managed File Transfers Ad-hoc file transfers solution using FTP, HTTP, and etc.

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

Metadata Management Helps in administering and managing the data that describes other data

Version Control It gives the team the ability to recall specific versions of a document, code, content, file, or folder that records changes over time.

• MySQL
• Google Analytics
• Quickbooks
• Zendesk Support
• Xero

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Rivery