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Mulesoft vs Informatica - What's The Difference?

Mulesoft and Informatica are tools that perform data integration and ETL tasks. Thse tools allow us to get data from different data sources and use them according to our business requirements. This Mulesoft vs Informatic blog discusses how Mulesoft and Informatica differ from each other.

 

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Almost all enterprises have data stored in different locations, from internal databases to the SaaS platform. For getting a complete picture of their operations or finances, they drag the data from all the sources into a data lake or data warehouse and perform the analysis against it. For pulling and integrating the data, we have various tools. Among those tools, Informatica and Mulesoft are the widely used tools.

Mulesoft is a data integration platform that integrates the data from various data sources through API-Led methodology. Informatica is the data integration tool built on the ETL architecture. Top companies like Qualcomm, Deloitte, IBM, Siemens, Mastercard, Verizon use Informatica and Mulesoft. As per the report of verified market research.com, the market is projected to achieve $22.8 billion by 2027. In this Mulesoft vs Informatica tool, you will learn the differences between Mulesoft and Informatica. 

Informatica vs Mulesoft -Table of Content

Mulesoft vs Informatica: Overview

What is ETL?

ETL is defined as the mechanism from various source systems, later transforms the data(like applying concatenation, calculations, etc.), and lastly loads data into the data warehouse system. The complete form of ETL is Extract, Transform, and Load. It allows the data analysis to offer transformable business information, efficiently designing data for business intelligence and analysis process.

As the data engineers are the experts in making the data available for utilization by working with multiple tools and systems, data engineering comprises ETL. Data engineering includes transforming, sharing, delivering, and ingesting data for analysis. We perform these basic tasks through data pipelines that automate processes in a replicable way. A data pipeline is a group of data processing elements that transfer from source to destination and frequently from one format to another format.

What is Data Integration?

Data Integration is defined as a mechanism of integrating the data from various sources into a unified and single view. Integration always starts with the ingestion process and includes steps like cleaning, transformation, and ETL Mapping. The data integration eventually allows analytics tools to generate actionable and effective business intelligence.  

There is no global method to the data integration. Yet, the data integration solutions generally include some general elements like a network of data sources, master servers, and clients using the data from a master server. In the data integration process, the client transmits a request to the master server for data. Later, the master server inputs the required data from external and internal sources. The data is fetched from sources later combined into a cohesive and single data set. This is delivered back to the client for consumption.

What is Mulesoft?

Mulesoft Anypoint Platform is designed for Mule Enterprise Service Bus(ESB) and Event-Driven Architecture. Mulesoft integrates this by connecting information, devices, and applications with the APIs to assist association modification and enhance faster. Agree on the demand and cite the consumer’s needs for the client in the structure.

Mulesoft and Salesforce allow enterprises to unfold data throughout platforms, generate adaptable merging systems, and lastly deploy them. Distinct partners due to different portfolio layouts, Salesforce external systems, and elements, ‘the possibilities for comparison are infinite. Through Heroku and Lightning platforms, we build coordinated applications and enable various frameworks for reaching individual users in the service and sales cloud. Record the product data using the interface of Salesforce360.

It provides enormous pre-built APIs for all kinds of systems and applications. By positioning the API before your old heritage systems, You can instantly achieve the advanced method to communicate with the systems without knowing how it works. If all our cloud or on-site systems have the intermediate API, known as System APIs, that grasp advanced system’s language

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What is Informatica?

Informatica is a software development company that provides integration products. It delivers products for master data management, data quality, data masking, data virtualization, data replica, etc. The Informatica PowerCenter Data Integration/ETL tool is the widely utilized tool, and generally, when we say Informatica, it relates to ETL or Informatica PowerCenter tool.

It provides the capability to fetch & connect the data from various diverse data sources and process the data. Informatica ETL tool is the best ETL tool for its competitors because it has a wide variety of product editions. Thus, users can select a particular edition as per the requirement. Informatica is continuously referred to as the Data Integration product leader in the listing of Gartner Magic Quadrant. The Informatica tool is available on all the famous platforms. It delivers cloud-based services such that with the least setup an enterprise can utilize this tool.

If you want to enrich your career and become a professional in  Informatica, then enroll in "Informatica Online Training" - This course will help you to achieve excellence in this domain.

Mulesoft vs Informatica: Key Differences

1) About

Mulesoft Anypoint Platform contains the following elements:

  • The Anypoint Design Center offers different tools for building connectors and implementing data and application flows.
  • The Mule runtime engine strengths the platform's connections to data, devices, and applications.
  • The Anypoint Security supports Integrations and APIs users build

Informatica provides a group of data integration tools and products for data cataloging, master data management, and data quality. Informatica had begun with on-site tools but now delivers a cloud platform.

2) Transformations     

 Mulesoft is best for application integration - shifting data from one platform or application to another. Every application has specified data structures, thus Mulesoft frequently has to convert the data from the source to suit destination schema. Mulesoft has greater than 20 pre-built “transformers.”

Informatica is an on-site product for the majority of its history and a lot of the product is concentrated on preload transformation, which is an essential feature while transmitting data to an on-site data warehouse.

3) Documentation, Training, and Support

Data Integration tools can be difficult, thus vendors provide various methods to assist their consumers

Mulesoft offers email, telephone, and online support. The documentation is extensive and Digital training materials are also available.

Informatica offers three levels of support. The basic success is accessible during business hours. The premium success provides 24*7 support for the priority1 cases. Signature Support provides 24*7 support for all the cases.

4) Data Connectors: Data Destinations and Sources

 Similar to other application data integration platforms, Mulesoft generally replicates the data modifications one at the given time between the multiple systems, as the event happens, instead of pushing the batches of the data to one central repository.

Informatica offers cloud connectors for about 100 databases and applications. The only cloud data warehouse destiny it supports is Amazon Redshift. It also supports Greenplum on-site platform.

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Mulesoft vs Informatica: Main Features

Basis of Comparison

Informatica

Mulesoft

Definition

Informatica is a software company that offers different integration products. Its products are useful for data integration, master data management, and data quality

Mulesoft is defined as a data integration platform that connects information and devices using an advanced API-Led approach.

Focus

ETL and Data Integration.

Application Integration and Enterprise Service Bus(ESB).

SaaS sources

Greater than 80

Approximately 70

Database Replication

Full table; Incremental through the change data capture.

Incremental Replication as per manually developed “SELECT” statements.

Buying Process

Needs an Interaction with the Sales.

Needs an Interaction with the Sales.

Transparent Appraisal

No

No

Data Sharing

Yes, using Informatica Cloud.

Yes

Developer Tools

REST API, Informatica Developer Tool, and Connector Toolkit.

CloudHub API and Runtime Manager REST API.

Conclusion

In this Mulesoft vs Informatica blog, you will learn key differences and main features of Informatica and Mulesoft. I hope this blog provides you with the required information about Informatica and Mulesoft.

If you have any queries, let us know by commenting below.

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Last updated: 29 October 2022
About Author
Madhuri Yerukala

Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .

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