Top 5 Boomi Alternatives for Modern Orchestration

TL;DR — Boomi (formerly Dell Boomi) is a visual iPaaS for application and data integration. Teams look elsewhere when they want workflows as code, self-hosting, or orchestration beyond app integration. Kestra fits engineering-led teams, Workato business automation, MuleSoft API-led integration, n8n visual self-hosted automation, and AWS Step Functions AWS-only serverless workflows.

Integration Platform as a Service (iPaaS) tools like Boomi, independent from Dell since 2021, have long connected enterprise applications and data sources. As engineering teams take over more integration work, many want workflows they can version in Git, run anywhere, and extend beyond app-to-app connections.

This article covers why teams look for Boomi alternatives, how we evaluated them, and how five platforms compare: Kestra, Workato, MuleSoft, n8n, and AWS Step Functions.

Why Modern Teams Seek Boomi Alternatives

Boomi is a mature visual platform for application integration. Friction usually appears in four places as needs evolve.

• Licensing and Implementation Effort: Boomi editions are tied to connections and features, and building and maintaining processes often requires platform specialists. Teams then reassess the build-vs-buy decision for orchestration.

• Vendor Lock-in and Limited Flexibility: Proprietary platforms can create a sense of vendor lock-in, making it difficult to migrate or adapt workflows to new tools and technologies. The visual, model-driven approach, while accessible, can be restrictive for developers who need to implement complex logic or custom error handling that falls outside the platform’s capabilities.

• Need for Code-Centric and GitOps-Friendly Workflows: Modern engineering teams operate with code as the single source of truth. Workflows defined in a visual UI are difficult to version in Git, review in pull requests, and manage with Infrastructure as Code (IaC) practices. This disconnect from the standard software development lifecycle slows down development and complicates governance.

• Limited Scope Beyond Application Integration: Boomi is strong at connecting applications, but many enterprises also need to orchestrate processes that span multiple domains, including data pipelines, infrastructure provisioning, AI model training, and business operations. Using a separate tool for each domain creates silos and increases operational overhead. One platform for all of these workflows reduces that overhead.

How We Evaluated Boomi Alternatives for Technical Workflows

To provide a meaningful comparison for technical teams, we assessed each alternative based on criteria that matter most in modern engineering environments:

• Deployment Models: We looked at the flexibility of deployment, including open-source, cloud-native, fully managed SaaS, and self-hosted options.
• Developer Experience: We compared the primary authoring method, contrasting declarative YAML and code-first approaches with visual, low-code builders.
• Pricing Model: We noted what pricing is based on (connections, recipes or tasks, state transitions, or deployment), without comparing prices.
• Connectors and Extensibility: We evaluated the breadth of pre-built connectors and the ease of creating custom integrations.
• Orchestration Domain: We assessed each platform’s ability to orchestrate diverse workloads beyond simple application integration, such as data pipelines, infrastructure automation, and AI workflows.
• Governance and Enterprise Features: We considered the availability of features like Role-Based Access Control (RBAC), Single Sign-On (SSO), and audit logs.

The 5 Best Boomi Alternatives for Modern Integration and Orchestration

1. Kestra: Declarative Orchestration for Unified Workflows

Kestra is an open-source, declarative orchestration platform designed to unify workflows across an entire organization. Instead of a visual-first approach, Kestra treats workflows as code, defined in simple YAML files that are easy to version, review, and manage with Git.

Developers get code-level control, and the UI keeps workflows readable for everyone else. Tasks can run in any language (Python, SQL, Bash, Node.js, and more) within the same workflow. This makes Kestra a versatile control plane for coordinating processes across data engineering, infrastructure automation, and business applications. For example, CAGIP, Crédit Agricole’s IT production arm, used Kestra to transform its infrastructure operations and scale data workflows across more than 100 clusters.

Key features include:

• Declarative YAML Workflows: Define all processes as code for better governance and collaboration.
• Polyglot Task Execution: Run scripts and containers in any language, breaking down silos between teams.
• Event-Driven Architecture: Build reactive workflows that respond to events from message queues, webhooks, and file systems.
• Flexible Deployment: Deploy on-prem, in the cloud, on Kubernetes, or use the managed Kestra Cloud offering.
• UI for Every Role: a topology view of workflows, real-time logs, and a built-in code editor.

Below is an example of an iPaaS-style workflow in Kestra. A webhook trigger listens for new e-commerce orders. The workflow then creates a contact in HubSpot, logs the order in a PostgreSQL database for reporting, and sends a Slack notification if any step fails.

id: ecommerce-order-processing
namespace: company.integrations

triggers:
  - id: new_order_webhook
    type: io.kestra.plugin.core.trigger.Webhook
    key: "{{ secret('ORDER_WEBHOOK_KEY') }}"

tasks:
  - id: create_customer_in_hubspot
    type: io.kestra.plugin.hubspot.contacts.Create
    apiKey: "{{ secret('HUBSPOT_API_KEY') }}"
    email: "{{ trigger.body.customer.email }}"
    firstName: "{{ trigger.body.customer.firstName }}"
    lastName: "{{ trigger.body.customer.lastName }}"
    lifecycleStage: customer
    retry:
      type: exponential
      maxAttempts: 3
      interval: PT30S
      maxInterval: PT5M

  - id: log_order_to_postgres
    type: io.kestra.plugin.jdbc.postgresql.Query
    url: jdbc:postgresql://reporting-db.internal:5432/sales
    username: "{{ secret('POSTGRES_USER') }}"
    password: "{{ secret('POSTGRES_PASSWORD') }}"
    sql: |
      INSERT INTO orders (order_id, customer_email, amount, order_date)
      VALUES ('{{ trigger.body.orderId }}', '{{ trigger.body.customer.email }}', {{ trigger.body.amount }}, NOW());

errors:
  - id: notify_on_failure
    type: io.kestra.plugin.slack.notifications.SlackIncomingWebhook
    url: "{{ secret('SLACK_WEBHOOK_URL') }}"
    payload: |
      {"text": "Order {{ trigger.body.orderId }} failed to process (execution {{ execution.id }})."}

Credentials come from Kestra secrets, the HubSpot call retries with backoff, and every order leaves an execution record with inputs, logs, and outputs. See the HubSpot plugin for the other CRM tasks.

Best for: Teams seeking an open-source, code-centric platform to unify orchestration across data, infrastructure, and application domains. It suits organizations moving to a GitOps model for their automated processes, including event-driven orchestration.

2. Workato: Enterprise-Grade Business Automation

Workato is an enterprise iPaaS focused on business process automation and SaaS integration. Automations are built as “recipes” in a low-code interface, using a large library of prebuilt connectors.

Unlike developer-focused tools, Workato is designed for a broader audience. It offers governance and security features that large enterprises expect. While it can handle data integrations, its primary focus is on business workflow automation, such as employee onboarding, lead-to-cash processes, and IT service management. For a detailed comparison of similar tools, see our list of Workato alternatives.

Best for: Business users and IT teams prioritizing rapid, visual automation for SaaS-to-SaaS integrations and formal business processes. It fits when the main goal is to let non-developers build and manage integrations. For process-centric BPM, compare Camunda alternatives.

3. MuleSoft: API-Led Connectivity and Integration

Owned by Salesforce since 2018, MuleSoft’s Anypoint Platform is an enterprise integration solution centered on the concept of “API-led connectivity.” It encourages building a network of reusable APIs to expose data and capabilities, rather than creating point-to-point integrations. This approach promotes modularity, scalability, and better governance.

MuleSoft covers the API lifecycle, from design and development in Anypoint Studio to deployment, management, and monitoring. It is a broad platform that usually requires dedicated training and specialists. Its focus on API orchestration makes it a strategic choice for large organizations aiming to standardize how they connect applications and data across the enterprise.

Best for: Enterprises building an API-led integration strategy and that need API management alongside integration. It is particularly well-suited for organizations with a mature IT governance model and a need to expose and reuse assets via APIs.

4. n8n: Source-Available Workflow Automation (Self-Hosted Zapier)

n8n is a source-available workflow automation tool. It is not open source under an OSI-approved license: it uses the Sustainable Use License, a fair-code license. It offers a self-hostable, visual platform that is popular with developers for its flexibility. Often compared to Zapier alternatives, n8n provides a node-based visual editor to connect APIs and services.

Its key differentiator is its developer-friendly nature. Users can easily write custom JavaScript or TypeScript code within nodes, create custom nodes, and self-host the entire platform for complete data control. This makes it a good tool for API-driven workflows and internal tools. For a deeper dive, check out the top n8n alternatives.

Best for: Technical teams and developers looking for a flexible, source-available, and visual tool primarily for SaaS application automation and API integrations. It’s a great fit for those who want more control and customization than Zapier but prefer a visual interface over a pure-code approach.

5. AWS Step Functions: Serverless Cloud-Native Orchestration

For organizations that run mostly on Amazon Web Services, AWS Step Functions is a natural Boomi alternative. It is a serverless orchestration service that lets you coordinate multiple AWS services into workflows using visual state machines. You can build and debug workflows in the AWS console and define them as JSON using the Amazon States Language.

Step Functions integrates natively with services like AWS Lambda, Amazon ECS, Amazon SQS, and more, making it ideal for orchestrating microservices, data processing jobs, and IT automation tasks within AWS. Because it is a fully managed service, it eliminates the operational burden of running an orchestration engine. It is also tightly coupled to AWS, making it less suitable for multi-cloud or hybrid environments. Explore other AWS Step Functions alternatives for different use cases.

Best for: Organizations committed to AWS seeking a serverless, managed service to orchestrate microservices and distributed applications. It is one of the key cloud orchestration tools available for building resilient, scalable applications on AWS.

Comparison Table: Boomi Alternatives at a Glance

Choosing the Right Boomi Alternative for Your Team

Selecting the best alternative depends entirely on your team’s skills, priorities, and specific use cases. Here’s a framework to guide your decision:

• For Platform and Infrastructure Engineers: If your goal is to create a unified, GitOps-friendly control plane for all automated processes, prioritize platforms that are declarative and domain-agnostic. Kestra is a strong choice for its code-first YAML approach and ability to orchestrate infrastructure, data, and applications. If your organization is exclusively on AWS, AWS Step Functions offers a serverless model. See how Kestra handles infrastructure automation.

• For Data Engineering Teams: Your primary concerns are likely data pipeline reliability, polyglot task execution, and integration with the modern data stack. Look for pipelines as code and built-in error handling. Kestra excels here, allowing you to orchestrate dbt, Spark, and SQL transformations alongside application integrations. Find more resources for data engineers.

• For Business and IT Automation Teams: If the main objective is to let business users connect SaaS applications quickly, a visual, low-code iPaaS is often the best fit. Workato is a market leader in this space, while n8n offers a flexible, self-hostable option for more technical teams who still prefer a visual builder.

• For API-First Enterprise Integration: If your organization is building a strategic application network based on reusable APIs, a platform with strong API management capabilities is essential. MuleSoft is purpose-built for this API-led approach.

When making your choice, consider total cost of ownership on your own volumes, including licensing, implementation, and operations, and how much long-term flexibility and control you need.

Conclusion: Embracing Modern Orchestration Beyond Boomi

The integration landscape is evolving. While traditional iPaaS platforms like Boomi have been instrumental in connecting enterprise applications, the demand for more flexible, developer-centric, and unified orchestration is growing. Modern alternatives offer a path away from proprietary, visual-only systems toward code-driven, auditable, and scalable workflows that span an organization’s entire technical stack.

The right choice depends on your team’s center of gravity. Whether you need an API-led platform like MuleSoft, a business-friendly automator like Workato, or a unified, open-source orchestrator like Kestra, pick the tool that matches your long-term architecture and the people who will build the automations.

If you are looking for a single platform to orchestrate all your workflows with a developer-first mindset, explore what Kestra can do for your enterprise.