Make (Integromat) vs Runway ML: Complete Comparison (2026)

Updated: March 12, 20268 min read

Make, formerly known as Integromat, stands out as a robust visual automation platform that excels in connecting various apps and AI services to handle intricate workflows, making it ideal for power users who need to automate multi-step processes like data integration between CRMs and email tools. In contrast, Runway ML is a specialized AI-driven tool focused on video generation and editing, offering features such as advanced AI algorithms for creating and enhancing video content, which is perfect for filmmakers needing to generate clips up to certain length limits. While Make boasts a high rating of 4.7/5 and over 800,000 users for its flexibility in complex automations, Runway ML, with a 4.6/5 rating and more than 5 million users, shines in creative AI applications but faces constraints like video length caps and high credit consumption.

⚙️
Make (Integromat)
AI & Machine Learning
94
hiltonsoftware.co Score
RECOMMENDED
VS
🎬
Runway ML
AI & Machine Learning
92
hiltonsoftware.co Score

Quick Comparison

Make (Integromat)
Runway ML
Starting Price
$9/mo
$15/user/mo
Free Plan
Yes
Yes
Users
800K+
5M+
Founded
2012
2018
Rating
4.7/5
4.6/5
Best For
Power users building complex, multi-step automatio...
Filmmakers and content creators using AI for video...

Feature-by-Feature Comparison

Make (Integromat)Runway ML
97Ease of Use96
96Features99
99Value for Money96
93Customer Support88
90Integrations93
91Scalability92
92Learning Curve93

Pros & Cons at a Glance

Make (Integromat)
+Very powerful and flexible automation
+Better than Zapier for complex flows
-Steeper learning curve than Zapier
-Operations-based pricing confuses users
Runway ML
+Best AI video generation
+Professional editing tools with AI
-Videos limited in length
-High credit usage for long videos
AI Verdict

Based on the data, I recommend Make for users focused on building and managing complex app integrations and automations, as its powerful features and operations-based pricing at $9 per month make it more suitable for tech-savvy professionals despite its steeper learning curve. On the other hand, Runway ML is the better choice for creative professionals in video production, given its top-tier AI video generation tools and $15 per user per month pricing, though it's limited by video durations and credit usage. Overall, your decision should hinge on whether you prioritize workflow automation or AI-enhanced video editing, with Make edging out for business efficiency and Runway ML for artistic endeavors.

CHOOSE MAKE (INTEGROMAT) IF:

Power users building complex, multi-step automations between apps.

CHOOSE RUNWAY ML IF:

Filmmakers and content creators using AI for video generation and editing.

Frequently Asked Questions

What are the main differences in functionality between Make and Runway ML?
Make focuses on visual automation to connect apps and AI for building complex workflows, such as integrating email services with CRMs, which is particularly advantageous for power users handling multi-step processes. Runway ML, however, specializes in AI-powered video generation and editing, providing tools for creating and enhancing videos with features like professional-grade effects, but it restricts video lengths and requires careful credit management. This makes Make better for operational efficiency and Runway ML more suited for creative content production.
How do the pricing structures and key features of Make compare to those of Runway ML?
Make offers a free plan with paid options starting at $9 per month, using an operations-based pricing that can be confusing but allows for flexible automation of app connections and complex workflows, appealing to users who need scalability. Runway ML also has a free plan, but its paid tier is $15 per user per month, emphasizing AI video generation features with professional editing tools, though it involves high credit usage for longer videos which might increase costs. Overall, Make provides more value for automation enthusiasts due to its lower entry price and flexibility, while Runway ML's pricing suits frequent video creators but could add up with extensive use.
Which tool is better for a business user automating video editing workflows?
For a business user automating video editing workflows, Make is the better option as it allows integration of AI tools for automation, enabling seamless connections between apps like video editors and databases for efficient multi-step processes. Runway ML excels in direct AI video generation and editing but lacks the broad automation capabilities needed for complex business workflows, potentially limiting its utility in integrated environments. Therefore, I recommend Make for this use case due to its power and flexibility in handling interconnected tasks.
Is it straightforward to switch from Make to Runway ML if I change my focus from automation to video creation?
Switching from Make to Runway ML involves exporting your workflows and data from Make, which has a steeper learning curve, and then importing or recreating them in Runway ML's AI-focused interface, but this can be challenging due to the tools' different purposes. Since Make is geared towards app integrations and Runway ML towards video-specific features, you'll need to adapt to new credit-based systems and video limitations, making the transition moderately complex. Overall, it's feasible with some effort, especially if you're moving from general automation to specialized video work, but expect a learning period to maximize Runway ML's capabilities.

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