In order to gain useful business insights, companies must deal with different databases, online and offline apps, cloud services, and legacy systems. Companies are migrating to these platforms in order to automate the integration of their cloud and on-premise data. We'll compare Dell Boomi with MuleSoft in this article as thoroughly as possible.
Companies have to deal with multiple databases, online and offline applications, cloud services, and legacy systems to get valuable business insights. But all this data is present on different platforms leading to general IT inefficiencies. Is it possible to integrate all these data on a single platform?
Yes, Dell Boomi and MuleSoft are the best examples of it. Companies are switching to these platforms to integrate their cloud and on-premise data and automate them in a synchronized infrastructure. In this article, we are going to discuss 'Dell Boomi vs MuleSoft' In detail
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We would use the following pointers to compare the Dell Boomi vs MuleSoft:
3. Comparison of Dell Boomi vs MuleSoft
So let us get started with the Dell Boomi definition first in this Dell Boomi vs MuleSoft article,
Dell Boomi offers an integration platform as a service including ETL capabilities. It integrates on-premise and cloud-based data and applications along with supporting real-time, event-based, and batch processing. Gartner has named it a leader in its Magic Quadrant For Enterprise Integration Platform as a Service.
The main components for Dell Boomi’s Atmosphere include:
MuleSoft offers exceptional business agility to companies by providing a leading integration platform. This platform works in a Hybrid environment that connects all the enterprise apps whether cloud or on-premise. Companies need to purchase multiple products and components and some of them are -
Related Article: Mulesoft Tutorial for Beginners |
In this section, we will be comparing Boomi and Mulesoft in terms of cost, API management, technical capabilities, platform features, and more.
Dell Boomi | MuleSoft | |
Coding
|
Low Code
|
Complex coding
|
Smart Data Mapping
|
Yes
|
No
|
Versioning
|
Built-in version control
|
6 different versions of a Runtime Engine
|
Database Replica
|
Full Table
|
Depends on manually written SELECT statements
|
Pre-built SaaS Sources
|
~80
|
~70
|
Dataware house connections
|
Yes
|
No
|
Developer Tools
|
AtomSphere API, Connector SDK for writing custom connectors
|
Runtime Manager REST API, CloudHub API
|
Pricing Model
|
Monthly or Annually
|
Annually
|
Let's dig into some of the details of MuleSoft vs Dell Boomi.
Related Article: What is Dell Boomi? |
MuleSoft and Boomi are built on totally different frameworks. Mulesoft is an API-led network whereas Boomi is an ETL middleware approach. In easy words, Mulesoft can connect to several apps and business units, can create and reuse multiple components.
Boomi offers only on-premise and on-cloud integration solutions whereas MuleSoft is capable of providing on-premise, on-cloud as well as hybrid solutions. We can say that MuleSoft is much more flexible and offers multiple integration solutions.
A user needs an easy and reliable way to monitor and solve problems in real-time. MuleSoft seems to have a better option for API management. The API manager in MuleSoft gives you the ability to monitor what actually is going on in the API network in real-time such as where and what records are being processed.
Whereas in Dell Boomi, you get the information in one way ie. a list view which makes it difficult to decipher the information source for your APIs.
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MuleSoft is volume-driven whereas Boomi is API-driven. Boomi charges you for every application and every connection whereas MuleSoft cares about the volume of records getting processed on it.
We can say that MuleSoft offers you the processing power for the volume of records you are handling. This is a cost-effective approach and very different from Boomi's approach.
Boomi offers an online training system but the platform is not very easy to use and often runs into a problem. After the acquisition of MuleSoft by Salesforce, MuleSoft has huge advantages to offer.
MuleSoft is used to move data from one application/platform to another. It transforms source data to fit into the destination schema and also gives the ability to developers to write custom processors using scripting languages like Groovy and JavaScript.
Dell Boomi supports a set of prebuilt transformations through procedures called shapes (such as encryption/decryption, search/replace, test encoding, and combining documents) and lets users create custom preload transformations to convert source application format into the destination format.
MuleSoft supports around 300 connectors to databases, Storage resources, network services, and SaaS platforms. It replicates data changes one at a time across multiple systems instead of pushing batches of data to a single repository.
Like several application integration platforms, Boomi also replicates data changes one at a time across different systems and supports two kinds of connectors - application and technology connectors. It allows developers to write custom connectors using Boomi's connector SDK.
MuleSoft provides a free trial for 30 days. For Dell Boomi, plans are billed every month starting at $549/month. Also, a 30 days free trial is available for new users.
Boomi offers better build time with a lesser risk of maintenance which helps companies to save a lot on service costs. MuleSoft platform demands a lot of expertise for complicated and multifaceted code-based developments.
Related Article: Latest Dell Boomi Interview Questions |
No doubt, both MuleSoft, and Boomi are good choices for businesses that require the integration of disparate systems together. Dell Boomi is comparatively less complicated and more feature-friendly than MuleSoft. Therefore, it is quite easy to learn and commercially apply the Boomi platform and that is why it is ranking high on the Gartner's Magic Quadrant.
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Pooja Mishra is an enthusiastic content writer working at Mindmajix.com. She writes articles on the trending IT-related topics, including Big Data, Business Intelligence, Cloud computing, AI & Machine learning, and so on. Her way of writing is easy to understand and informative at the same time. You can reach her on LinkedIn & Twitter.