The Major Differences Between Mulesoft and K3
Let’s do a high-level comparison of the Mulesoft and K3 platforms to see which is better overall.
- Ease of use: K3 is super low code, Mulesoft requires extensive coding knowledge.
- Mulesoft is expensive to scale: The number one complaint for Mulesoft users is that it’s very expensive to scale. K3 has a far more simple and scalable pricing. We want you to use more and price accordingly.
- Data deployment and privacy: Mulesoft has exceptionally limited ETL. K3 has ETL right in the user interface that allows you to perform mapping, data rules and many other functions.
- Stuck to sticking data in Salesforce: Mulesoft had a great run connecting to Salesforce, but we think they stopped investing in the integration product in favor of their API Gateway functionality. (Plenty of other companies have them beat here too. But that’s a different blog post.)
- Compliance tracking: Mulesoft does not have an audit trail. K3 keeps track of every action on the integration platform.
THE BIG TAKEAWAY:
- Mulesoft, as a high code environment, requires a huge investment in maintenance.
- Mulesoft is exceptionally expensive to scale.
- We think Mulesoft stopped investing in their integration capabilities years ago.
Mulesoft and K3 Overview
The MuleSoft Anypoint Platform is a niche tool for organizations to launch their projects by leveraging a single marketplace for APIs and integration assets. It serves a wide range of integration use cases (ESB, iPaaS, API Gateway, API manager, ETL platform, etc.).
K3 Enterprise is a low-code integration application with hundreds of connectors (APIs) capable of doing all that Mulesoft has without the high-code hassle of coding data flows. Forged in the in the belly of the financial markets, K3 is built to grapple with legacy archetypal data forms and unconforming data sources. K3 loves legacy as much as it does SaaS. hy. See your data, map it and flow it to files, APIs, databases, data warehouses, and data lakes like Redshift and Snowflake.
Let’s see how K3 and Mulesoft stack up.
FEATURE COMPARISON OF MULESOFT V/S K3
Capabilities and Functional Comparison In-Depth Look
K3
MULESOFT
EASE OF USE
K3 is a low code environment that doesn’t require programming expertise to get your data where you want it, whether you want to get data into Snowflake, Redshift, or legacy databases.
MuleSoft provides a very high-level code environment that requires extensive training for users to operate the platform.
PRICING AND SCALABILITY
K3 is optimized for scalability, with unlimited users, no cap on the amount of data flowing, and a pricing structure based on the number of integrations you have and the type of adapters you use.
MuleSoft is very expensive to scale – charging by the number of users – and is often cost-prohibitive for small- to medium-sized businesses.
DATA DEPLOYMENT & PRIVACY
K3 requires no API development, but rather has over 100 pre-built connectors for upstream and downstream data needs, a visual data mapping, and a low-code data rules engine that streamlines all of these custom development steps away.
Mulesoft doesn’t have ETL at all, it’s up to you to create an API, build an integration, and publish your application to the Mulesoft “Cloudhub.”
COMPLIANCE TRACKING
K3 is designed to complete regulatory reporting with as little IT intervention as possible, making it a powerful, streamlined reporting solution.
Mulesoft does not track or monitor all the regulatory compliance requirements, meaning there’s no audit trail.
K3 IS BEST FOR AFFORDABILITY AND FLEXIBILITY
K3 stands on the shoulders of all the integration platforms that came before it and is designed to ensure non-technical tasks can be performed by non-technical people. Built to accommodate evolving technology, K3’s architecture is future-proof. Get started with a free demo today and see how low-code K3 ETL can empower your data transformation.
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K3 Guide
Navigating the pathway to surfacing and making useful data from a myriad of sources can be daunting. Our K3 Guide is here to share best practices, objective insights and modern approaches to solving modern data prep and integration challenges.