Make Alternative for Managing Complex Workflows. Getint vs. Make Comparison

If you’ve ever tried to automate processes between the different tools your team uses, chances are you’ve come across platforms like Make (formerly known as Integromat) and Getint. On the surface, they seem to offer similar benefits - helping you eliminate repetitive work and connect systems. But the experience of using each one is very different.

Make is all about flexibility. It gives you the power to create detailed workflows with custom logic, branching paths, and API-level control. It’s a dream for developers and those who love to get their hands dirty.

Getint, however, takes a more focused approach. It’s designed for something more specific: reliable, real-time synchronization between the core systems your business depends on, like Jira, ServiceNow, Azure DevOps, and Asana. Instead of just automating tasks, it ensures that these critical platforms stay perfectly in sync.

These platforms are particularly useful for managing complex tasks, allowing teams to streamline their workflows and focus on more critical work.

So, which platform fits your needs?

That really depends on what you’re trying to achieve - and how essential that process is to keeping your business running smoothly.

In this article, we’ll walk you through how each platform works, what they do well, and where they might fall short - so you can feel confident choosing the one that best supports your team and your workflow.

What is Make (Formerly Integromat)?

Make is an automation platform built with flexibility at its core. It began its journey as Integromat, but after rebranding, it positioned itself as the ideal solution for those looking to build complex, custom workflows across a wide array of tools.

At the heart of Make is its visual editor - a flowchart-style workspace where you can drag and drop elements to create workflows, or “scenarios.” These scenarios define how data should move between apps and what should happen along the way. It’s particularly popular among developers, data engineers, and technically-inclined teams who want more control than simpler platforms like Zapier offer.

With Make, you can create workflows that include extensive features such as:

• Branching paths based on conditions
• Loops and repeated actions
• Filters to fine-tune what moves when
• Custom API calls via HTTP modules
• Data parsing for formats like JSON and XML
• Error handling that’s highly customizable
• Complex data manipulation through arrays and aggregators

You can even connect apps that aren’t officially supported, as long as they have an open API.

This level of flexibility is powerful. Imagine a workflow that splits into five different branches, applies conditions at every step, enriches data from multiple sources, transforms it, and sends it out to several destinations. It’s all possible.

But here’s where it gets tricky.

The same flexibility that allows such complex workflows also makes Make challenging to use, especially if you’re new to automation. Even setting up a straightforward process - like syncing emails from Gmail to Google Sheets - can feel overwhelming. The number of modules, technical jargon, and dense interface can be intimidating.

What is Getint?

Now, let’s talk about Getint. If Make is all about building flexible automations from scratch, Getint is about making sure your most important tools - the ones your business can’t run without - stay perfectly in sync. And the best part? You don’t need to write a single line of code.

Getint is designed for developers (and non-developers), IT teams, and businesses that need their systems - like Jira, ServiceNow, Azure DevOps, and Asana - to work together, reliably and in real time. It’s not just about automating individual tasks; it’s about connecting whole systems and keeping everything aligned, down to the last detail.

And you’re not alone in trusting it. Over 6,000 companies - including 16 Fortune 500 enterprises - use Getint to keep their workflows running smoothly. It’s also an Atlassian Platinum Vendor, offering integrations through the Atlassian Marketplace along with flexible deployment options: in the cloud (SaaS) or on your own servers (OnPremise).

So, what makes Getint stand out?

• Real-time, two-way synchronization - so updates happen instantly between systems
• No-code setup for most use cases, with the option for low-code scripting if you need advanced customizations
• Handles complex connections like Jira-to-Jira, Jira-to-ServiceNow, Jira-to-Azure DevOps, and more
• Enterprise-ready features like dedicated support, service level agreements (SLAs), and log streaming
• Supports multiple environments (development, staging, production) - great for teams who want safe testing spaces
• Robust security options including data encryption, and the ability to host everything yourself

With Getint, you’re not using it to automate simple things like sending marketing emails. You’re using it to integrate the critical systems your teams rely on to get work done - and to do it in a way that’s stable, traceable, and scalable.

And while most of what you’ll need is no-code, there’s a powerful scripting engine available for those times when you need to go deeper and customize how data moves between systems.

In a nutshell: Getint is what you turn to when you’ve outgrown basic automation tools and need something dependable to handle your essential workflows.

How Make Works

Let’s break down how it feels to use Make in your day-to-day work.

Setting up an automation in Make starts with what they call a scenario editor - a visual canvas where you build out your process step by step using specific triggers. You pick and arrange “modules,” which are like building blocks that tell Make what to do at each stage.

Here’s what that usually looks like:

1. Pick Your Starting Point
   First, you choose a trigger - something that kicks off the process. Maybe it’s an email arriving, a form being submitted, or a file being updated.
2. Add Steps Along the Way
   You then drag in more modules to define the actions. These might be sending a follow-up email, updating a spreadsheet, fetching data from another app, or applying a filter to decide what happens next.
3. Set Up the Logic
   This is where Make really shows its muscle. You can:

• Add branching logic - so your workflow takes different paths depending on conditions
• Create loops that repeat actions
• Use aggregators and transformers to reshape data
• Manipulate arrays or parse complex formats like JSON and XML

4. Map the Data
   Here, you connect the dots - deciding how information moves from one step to the next. You can map fields, tweak formats, and even run calculations along the way.
5. Launch or Schedule the Automation
   Once you’ve built it, you can either run the workflow manually, set it to run on a schedule, or have it react to events in real time. But keep in mind: even just checking for changes in Make eats up your monthly task count - and that can add up fast.

There’s no doubt Make gives you a lot of power. For some teams, it can even replace writing custom scripts or building internal tools.

But here’s the thing: while Make makes everything visual, it doesn’t always make it simple. If you’re not already familiar with how data flows or how APIs work, all that logic and complexity can feel a bit like solving a puzzle without the picture on the box.

And when the stakes are high - like syncing systems your team depends on - that complexity can feel risky.

How Getint Works

Using Getint feels different right from the start. While Make hands you a blank canvas and asks you to draw the map, Getint gives you a clear, guided path that’s built around one goal: keeping your systems in sync reliably and easily.

Getint offers seamless cross-platform capabilities, enabling businesses to efficiently manage data and collaborate regardless of the platforms being used.

Here’s how a typical setup works in Getint:

1. Choose Your Tools
   You start by selecting which platforms you want to connect - for example, Jira ↔ Azure DevOps, or Jira ↔ ServiceNow.
2. Decide What to Sync
   Next, you define exactly what data should move between the systems. Need to sync just tasks? Or maybe comments, attachments, custom fields, and priorities too? You get to choose.
3. Map the Details
   Getint helps you align different field names or types across tools. You can even set sync directions - deciding which fields flow both ways and which ones stay one-way.
4. Apply Filters and Logic
   Want to include only certain items based on their status, tags, or assignees? Easy. And if you need more advanced rules or transformations, Getint has a scripting option ready for those edge cases.
5. Test and Go Live
   Once you’re ready, you preview the integration, run tests with real data, and then launch. Getint takes care of logging every sync attempt in near real time and even gives you a dashboard to monitor everything.

And here’s what you don’t have to worry about:

• Writing code from scratch
• Wondering if something will break during downtime
• Stressing over whether your workflows missed a sync

If something does fail, Getint automatically retries and logs the issue - even streaming those logs directly to your observability tools if you like.

And if you work in a highly secure environment? Getint offers the flexibility to run in the cloud or fully integrated with Jira Data Center or Server OnPremise, behind your own firewall, giving you complete control over your data.

You can also manage multiple environments - like development, staging, and production - without any risk of breaking live systems.

Getint vs Make: Workflow Automation Tools Feature Comparison

When you’re choosing between Make and Getint, it’s not just about comparing features. It’s about understanding which platform actually fits the way you work - and how much effort (and stress) it takes to get there. Here’s a breakdown that focuses on what really matters when you’re managing complex workflows and need a comprehensive solution.

This table helps tell the real story: Make is fantastic if you’re a developer who loves flexibility and control. But if you’re someone who just wants your systems to stay in sync without constant monitoring or building flows from scratch, Getint feels like a breath of fresh air.

One-Way Automations vs True Sync: The Real Difference

At first glance, both Make and Getint seem to do the same thing - move data between different tools. But once you start using them, you’ll quickly notice they take very different approaches.

With Make, you’re working with one-way automations. That means you set up a scenario where something happens in Tool A - like a new ticket in ServiceNow - and it triggers an action in Tool B - like creating a task in Jira.

But that’s where it stops.

If that Jira task changes - maybe the status is updated, a comment is added, or a file is attached - nothing happens in ServiceNow. Unless, of course, you’ve gone ahead and built another scenario to catch that update and send it back. And if you want two-way sync? You’re building and maintaining two (or more) mirrored automations for every single field you care about.

It works - until it doesn’t.

Because when you’re handling complex systems, keeping track of those mirrored automations quickly becomes a chore. Miss a field? Forget a condition? Suddenly your tools are out of sync, and no one knows which system has the right data.

Getint does things differently.

From the start, it’s designed for true synchronization - not just moving data from one place to another, but keeping your systems aligned. You set up a connection between your tools, define what data should flow and in which direction, and Getint takes care of the rest - automatically, in near real time, both ways, without the need to create extra workflows.

So if a status changes in ServiceNow? It’s updated in Jira.

If someone leaves a comment in Jira? It appears in ServiceNow too.

Field by field. Comment by comment. Attachment by attachment.

It’s not just about sending data - it’s about making sure your systems stay connected without constant maintenance.

This kind of real-time sync isn’t a luxury when you’re working across multiple teams, tools, or vendors. It’s essential. It keeps everyone on the same page, ensures your data stays accurate, and makes sure you don’t waste time chasing down updates.

In other words, one-way automation is a good place to start. But true sync is where teams land when they need to get serious about their workflows.

When Make Becomes a Bottleneck

Make really shines when you need flexibility. You can build almost anything - workflows that branch off in different directions, call APIs, loop through data, handle errors, and more - all within one scenario.

But here’s the honest truth: that flexibility can turn into a bottleneck when your workflows start growing. What once felt empowering starts to feel like extra weight.

Here’s where teams often start to feel the strain:

• You’re connecting multiple tools, not just automating simple tasks.
  What starts as a single automation suddenly multiplies. One scenario turns into three. Then six. Then a dozen - all just to keep things moving between your systems.
• You’re stuck maintaining mirrored workflows.
  Want bidirectional updates? That means you’re not just building one automation - you’re building two (or more) for every sync. One to send data one way, another to send it back, and then troubleshooting them both if something breaks.
• You’re burning through tasks just to check for updates.
  Even if nothing happens, Make keeps checking for changes - and each of those checks counts as a task. So your usage adds up fast, even when there’s no data moving.
• You’re relying on these workflows for business-critical operations.
  Here’s the kicker: when your automations aren’t just nice-to-haves but are tied directly to your production systems - like syncing issues between Jira and ServiceNow - those cobbled-together workflows feel more like duct tape than a solid solution.

At this point, what started as flexible and fun turns into something you constantly have to monitor, maintain, and optimize. You’re spending more time making sure your automations work than actually benefiting from them.

With Getint, this isn’t a problem.

You don’t need to build mirrored workflows or worry about how many tasks you’re burning. You set up your integration once, and Getint keeps your systems in sync - predictably, securely, and without the mental load of tracking task counts or worrying if your scenario broke overnight.

Customization vs Complexity: How Much Control Do You Really Need?

One of Make’s biggest selling points is how much you can customize. If you’re a builder at heart, it’s like having a massive toolbox where you can create just about anything. You can loop through data, manipulate arrays, transform file formats, call APIs, set up fallback paths - you name it.

But here’s the catch: the same flexibility that lets you build anything… also means you have to build everything.

• Every condition
• Every sync direction
• Every branch of logic
• Every error handling step

You’re not just in control - you’re responsible for every single part of the process. And that can get exhausting fast, especially when you’re dealing with complex workflows between systems that really matter to your business.

Getint takes a different approach.

It’s not trying to be a “do everything” tool. Instead, it’s laser-focused on doing one thing exceptionally well: syncing the collaboration and work management tools your teams depend on. Systems like Jira, ServiceNow, Azure DevOps, and Asana.

And the beauty of it? You don’t have to build everything from scratch.

• No worrying about task limits
• No piecing together error recovery paths
• No mapping the same field in multiple places
• No digging through API documentation just to make a status update sync properly

With Getint, the heavy lifting is done for you. The UI guides you through 90% of the setup, and it works right out of the box. But if you ever hit an edge case - something unique to your business - that’s where Getint’s scripting engine steps in. It gives you the flexibility to handle those special scenarios, without needing to build everything manually.

Here’s the bottom line:

• If you need ultimate flexibility and you have the technical skills (or a developer handy), Make might be your jam.
• But if you’re looking for stability, predictability, and peace of mind - especially in business-critical workflows - Getint is built for you.

Because at the end of the day, the right tool isn’t the one with the most options. It’s the one that makes your life easier.

Cost Transparency & Task Consumption: No One Likes Surprise Bills

On paper, Make often looks like an affordable option - especially compared to some other automation platforms like Zapier. And for simple workflows, it can be. But as your processes get more complex or your usage grows, the pricing model starts working against you.

Here’s why.

Every Check Counts as a Task

Even when nothing’s happening, Make is busy behind the scenes. It keeps polling your connected apps, asking:
"Hey, anything new here?"

And each of those checks? It costs you a task.

Let’s break that down:

• Default polling interval: every 15 minutes
• That’s 4 checks per hour
• Which adds up to 96 checks a day
• Or nearly 2,880 tasks a month - just for watching for updates

Now imagine switching to a 5-minute polling interval (because real-time-ish syncing feels better, right?).
Suddenly, you’re at 8,640 tasks per month - again, before moving a single piece of data.

Add in a few hundred actual record transfers, and you’re burning through thousands of tasks without even realizing it.

Getint: No Tasks, No Stress

Getint doesn’t work like that. There are no background polling tasks, no hidden triggers quietly eating up your budget.

Instead, Getint charges a fixed price per connection (for example, Jira ↔ ServiceNow), regardless of how many times the sync runs or how complex your logic is. Whether you sync ten records or ten thousand, the cost stays predictable.

That means:

• No surprise bills at the end of the month
• No stress about how often your systems sync
• No cutting corners to save on task usage

You don’t have to optimize for cost at the expense of performance. With Getint, you get the stability your workflows need - without the worry.

Support and Reliability in Business-Critical Workflows: Who Has Your Back?

Automating small tasks is one thing. But when your workflows are tied to live systems - systems your teams depend on every day - support stops being a nice-to-have. It becomes a lifeline.

Because let’s be honest: things don’t always go as planned. And when something breaks, you need real help, not just a knowledge base article.

Make’s Support: There When You Pay for It

With Make, support exists - but it depends on how much you’re paying.

• On the free or lower-tier plans? Support is limited or even unavailable.
• Need a quick response? You’ll need to be on a top-tier enterprise plan.
• Even paying users report slow replies when things get tricky.

For small, non-critical automations, this might be okay. But if you’re syncing important data between Jira and ServiceNow or moving issues from Azure DevOps to Asana, slow support feels like gambling with your business.

Getint’s Support: Built for the Workflows You Rely On

Getint is designed for teams who can’t afford guesswork.

Here’s what you get:

• Real-time, human support via live chat (right inside the app)
• Dedicated Customer Success contacts - people who know your setup
• SLA-backed support on all enterprise plans
• Built-in log streaming and error traceability, so you get not just an error message, but a real explanation of what happened

And yes - invoice-based billing is an option too, because if you’re managing big, important workflows, you’re likely handling procurement as well.

Built for Scale: Deployment, Environments, and Security - Workflows That Grow With You

For many teams, Make’s cloud-based setup works just fine. It’s always there, always online. But for others - especially those in regulated industries or with strict security policies - keeping everything in the cloud just isn’t an option.

If your organization has requirements around data residency, compliance, or tools that can’t leave the safety of your firewall, Make becomes a hard no. There’s no OnPremise version - it’s cloud or nothing.

Getint Gives You a Choice

With Getint, you decide how and where your workflows run.

• Want to keep it simple in the cloud? Go SaaS.
• Need everything behind your firewall, under your control? Run Getint fully OnPremise.

This makes Getint a great fit for teams in:

• Finance
• Government
• Healthcare
• High-security environments
• Or any setup with internal tools that aren’t exposed to the internet

Plus, you get control over where your data lives. Whether it’s Germany, the US, India, or elsewhere - Getint lets you choose based on your compliance needs.

More Than Just Dev vs Prod - Real Environment Support

Getint was built with real software delivery in mind.

That’s why it supports:

• Multiple environments: dev, staging, production
• Versioned configurations and change tracking
• Safe testing without breaking live integrations

Make offers none of this.

You either test in prod - or you don’t test at all.

When your automations are mission-critical, you don’t want them locked inside someone else’s cloud.
With Getint, you stay in control - every step of the way.

Breadth vs Depth: App Count Isn’t Everything

One of Make’s biggest bragging rights is its 2,400+ app integrations. And hey, that’s impressive! If you’ve got lots of small tools or niche apps that need connecting, Make makes it feel like you can hook up everything.

But here’s the thing: connecting to an app and really syncing with it are two different stories.

Make Offers Broad Reach, But Often Shallow Actions

Yes, Make connects with a huge number of apps. But when you start digging into those connections, a few things become clear:

• Many offer only basic actions - like creating a task or sending a notification
• Field names can feel unclear or inconsistent
• Important data like comments, attachments, or custom fields often isn’t supported
• Need something more advanced? You’re likely back to writing custom API calls through HTTP modules

Take Jira as an example. Make can trigger workflows based on simple events in Jira, sure. But if you need to sync issue types, comments, priorities, statuses - across two Jira instances or with another tool like ServiceNow? That takes manual setup - and it’s fragile.

Getint Takes a Different Path

Instead of trying to be everywhere, Getint goes deep where it matters most - with the tools that run your business. You can connect with experts to ensure the best-fit strategies and solutions.

• Jira ↔ Jira
• Jira ↔ ServiceNow
• Azure DevOps ↔ Asana
• GitHub ↔ Jira, and more

And Getint doesn’t just move the basics. It supports:

• Full field mapping - including custom fields
• Attachments, comments, tags, and labels
• Sync direction control - decide which fields sync one-way or both ways
• Type mapping - match issue types across systems
• On-the-fly transformations using scripting for those tricky edge cases
• Error handling and retry mechanisms built-in
• Historical data migration - so your sync doesn’t just start today but can bring in past records too

In other words: Getint doesn’t just connect tools - it keeps them aligned.

Because integration isn’t about how many apps you can connect.
It’s about how well those apps work together when it matters.

If you need to connect a bunch of smaller tools and don’t mind building out the logic yourself, Make can work.

But if you’re syncing live production systems, integrating teams on different platforms, and you need it done right - depth beats breadth every time.

Summary: Make Alternative: Getint - Two Tools, Two Mindsets

When it comes down to it, choosing between Make and Getint isn’t just about comparing features. It’s about picking the tool that matches how you work - and what you need to feel confident.

Make gives you flexibility.

If you’re a developer or automation pro who loves building custom workflows from scratch, Make is your playground. You can connect thousands of apps, stitch together intricate logic, and create just about anything - as long as you’ve got the time and technical know-how.

But with that flexibility comes complexity. Every action, every loop, every check is something you have to build, maintain, and pay for. And when things go wrong? It’s often on you to fix them - or to wait in line for support.

Getint gives you reliability.

It’s built for teams that are syncing critical systems - like Jira, ServiceNow, Azure DevOps, and Asana - across departments, companies, or even ecosystems. The sync is real-time (or close), bidirectional, stable, and backed by a support team that actually shows up when you need them.

Getint doesn’t try to be everything to everyone.
It focuses on doing deep integrations exceptionally well - and that’s exactly what makes it so valuable.

So here’s the real question:

• Do you want to build automations from scratch?
• Or do you want your tools to stay in sync - securely, visibly, and without babysitting?

Choose the tool that fits your workflow - and, more importantly, your peace of mind.

FAQ: Getint vs Make – Your Key Questions Answered

What is the difference between Make and Getint?

Make is like a big box of automation tools - designed for building flexible, custom workflows across a wide range of apps.
Getint is all about syncing your core systems - like Jira, ServiceNow, Azure DevOps, and Asana - and keeping them aligned, reliable, and in sync without needing to write code.

Is Getint easier to use than Make?

Yes - especially if you’re not a developer.

Getint guides you through the setup with a simple, no-code interface. Most people never need to touch code. But if you do need something more complex? There’s a scripting engine for that.
Make has a steeper learning curve, and it’s often best suited for people with technical backgrounds who are comfortable building workflows from scratch.

Can Make do real-time, two-way sync?

Not out of the box.

With Make, you can build mirrored automations to simulate two-way sync, but it takes a lot of work - and ongoing maintenance.
Getint is built for true, real-time bidirectional sync right from the start - field by field, comment by comment, so your systems stay perfectly aligned.

Which platform is better for syncing Jira with other tools?

Getint.

It supports advanced field mapping, syncing of issue types, comments, attachments, status updates, and more - all with full control over which fields sync and in which direction. It’s designed for deep, reliable Jira integrations.

How do the pricing models differ between Make and Getint?

Make charges per task - and that includes every single action, even just checking for updates. This can add up quickly, especially for complex or frequent workflows.

Getint uses a connection-based pricing model. You pay for the systems you’re syncing (e.g., Jira ↔ ServiceNow), not the number of syncs or the complexity. This keeps your costs predictable.

Does Getint support OnPremise deployment?

Yes. Getint offers both SaaS and fully OnPremise deployments, ideal for companies with strict data residency, compliance, or security requirements. Make is SaaS-only.

Which tool is better for enterprise use cases?

Getint.

It offers features designed for enterprise teams, including:

• SLAs
• Multi-environment support (dev, staging, prod)
• Invoice billing
• Live chat with real human support
• Access to integration architects
• Built-in log streaming and error traceability

It’s trusted by over 6,000 companies - including 16 Fortune 500 organizations - to keep their business-critical systems in sync.

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The comparisons and insights provided in this article are based on our own analysis, hands-on testing, feedback from customers and partners, and publicly available information as of April 24, 2025. While we’ve made every effort to ensure the accuracy and fairness of this comparison between Getint and Make, we recognize that tools and features can evolve over time.

If any information is outdated or inaccurately presented, we welcome your feedback and will gladly review and make corrections as needed. Our goal is to provide the most helpful and accurate resource possible for teams evaluating integration solutions.