Compare Fivetran vs Xplenty

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

Xplenty is a data integration cloud-based platform that is used by organizations to create simple and visualized data pipelines to the organization’s data pool for better decision making. It is a comprehensive toolkit for building custom data pipelines as per the needs. Users can perform simple replication to complex data preparation and transformation tasks with a simple interface, which saves them time and efforts. Some of the key features of the platform include scheduling of jobs, monitoring its progress, and also sampling the data outputs. Xplenty’s native connectors enable easy configuration of data from various data sources to public or private cloud or even on-premise infrastructure. Developers can customize and extend the Xplenty platform by using the software’s rich expression language, advanced API, and webhooks. The platform’s scalable and elastic infrastructure can easily increase or decrease the number of records processed, depending on the business needs. ..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

• MongoDB
• Slack
• Salesforce
• Shopify

Top alternatives to Fivetran

Matillion ETL

Airbyte

Qlik Replicate

Snowflake

Stitch Labs

Top alternatives to Xplenty

MuleSoft Anypoint Platform

Informatica Cloud Data Quality

Fivetran

Talend Cloud Data Integration

Panoply