Compare Matillion ETL vs Foghub

Summary

Matillion ETL is a purpose-built tool designed to transform various cloud data warehouses. The software enables its users to take advantage of the flexibility, economics, and power of the cloud as it integrates with Google BigQuery, Amazon Redshift, and Snowflake. Users can use the software to load valuable data regarding their business into their cloud data warehouse. They can also transform this data in the cloud in order to unveil the hidden insights within the company. One can extract data from frequently used data sources and also load them into a cloud data warehouse with ease as Matillion ETL supports various data source connectors. The software helps the users to perform powerful transformations to prepare their data for consumption by the leading analytics tools such as Looker, Tableau, etc. The intuitive GUI provided by this ETL platform helps users to visually arrange sophisticated data workflows without any SQL coding. Users can avail the advantage of resource capacity by scheduling the data arrangements to run whenever the resources are available. ..show more

Foghub is a platform that offers its users with critical-path to IT/OT convergence, connecting sensors, devices, and systems with people, processes, and applications hence enabling automatic data acquisition, data engineering, transformations, advanced analytics, and ML. The software allows for its users to handle wide variety, volume, and velocity of industrial data with out of the box support for all data types, popular industrial network protocols, OT/lab systems, and databases. The easy to use fully configurable data flows to ensure the data remains available and usable by business stakeholders, when and where they want it in the system of their choice. Foghub enables its users to turbocharge existing business/IT systems with data, directly from the source of truth securely and transparently. The software offers an out of the box integration with most popular industrial network communication protocols, databases, cloud platforms, enterprise systems such as ERM, EAM, CRM, and CMMS, SaaS applications, messaging and communication platforms. ..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.

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