Compare Fivetran vs Panoply

Summary

Fivetran is a platform built for analysts and it helps them to replicate their data with no configurations. The software provides its users with a robust automated pipeline equipped with standardized schemas that allow a user to focus more on analytics rather than ETL. Users can avoid pipeline failures as the software iterates and battle tests their pipelines. One can also maintain and monitor them continuously. The software provides agility that helps its users to add new data sources with the required pace instead of waiting for months to start using the data. It also supports modern cloud warehouses such as Snowflake, BigQuery, Redshift, and Azure that allows users to query anything at any time. Fivetran provides its users with the next level of enterprise security, such as encryption at rest and in motion, SOC 2, and GDPR compliance. Matillion ETL also offers data purge after each second and built-in infrastructure management. ..show more

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

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.

• Mixpanel
• Dropbox Business
• HubSpot CRM
• Google Analytics
• Adobe Marketo Engage
• Shopify
• MailChimp

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

Top alternatives to Fivetran

Matillion ETL

Airbyte

Qlik Replicate

Snowflake

Stitch Labs

Top alternatives to Panoply

Array APV Series Load Balancers

Snowflake

Hevo

Matillion ETL

Skyvia