Top 5 Nango Alternatives for B2B SaaS Integrations (2026)

If you're evaluating Nango alternatives, you've likely hit the ceiling of code-first integration infrastructure. Nango is a strong platform for getting off the ground quickly — the OAuth handling is solid, the TypeScript environment is familiar, and the first few integrations ship fast. The reality sets in six months later. Your enterprise customer demands custom Salesforce objects. Your compliance team asks where synced data lives. Your engineering team is spending more time maintaining integration scripts than building product.

The best Nango alternative depends entirely on your architectural philosophy. Do you want to continue writing and maintaining integration code, or do you want to move to a declarative, configuration-driven model? Engineering teams migrating away from Nango typically evaluate declarative unified APIs (like Truto), cached unified APIs (like Merge.dev), or embedded iPaaS platforms (like Paragon).

This guide breaks down the top five Nango alternatives in 2026, comparing their architectures, pricing models, and maintenance burdens so you can make an informed decision before locking in your next infrastructure layer.

Why SaaS Teams Look for Nango Alternatives in 2026

Integrations are no longer a nice-to-have feature. BetterCloud's 2025 State of SaaS report found organizations now use an average of 106 different SaaS tools. When a prospect asks if you integrate with their existing stack, "it's on the roadmap" is an unacceptable answer. You either have the integration, or you lose the deal.

Code-first platforms like Nango allow developers to write integrations as TypeScript functions. You define the data models, write the mapping logic, and deploy the code. This feels highly controllable at first. The problem is scaling.

We recently detailed why code-first integration platforms don't scale. The core issue is the maintenance burden. When you own the code, you own the technical debt. Every time a third-party API deprecates an endpoint, changes its rate-limiting headers, or introduces a new pagination cursor format, your team has to update, test, and redeploy the integration script.

Engineering leaders typically look for Nango alternatives when they hit these specific bottlenecks:

1. The TypeScript maintenance burden. Every integration on Nango is a TypeScript function you write, test, and maintain. At five integrations, this feels manageable. At thirty, with per-customer variations across Salesforce orgs with wildly different custom objects, it becomes a permanent headcount line item. One G2 reviewer noted that even with Nango, they "hired a set of professional developers so that multiple integrations of this platform can be handled easily but we didn't know that even maintaining these developers will also be quite costly."

2. Multi-dimensional pricing that's hard to forecast. Nango's pricing meters connections, proxy requests, function compute time, function runs, sync storage, and API webhooks separately. Each variable scales independently, making it genuinely difficult to predict your monthly bill as integration adoption grows.

3. Polling limitations and virtual webhooks. Many third-party APIs lack native webhooks. Code-first platforms often rely on scheduled polling to simulate real-time updates. If your polling infrastructure defaults to long intervals, your product data is fundamentally stale. Building your own distributed cron system to poll APIs every five minutes introduces massive compute costs and rate-limit risks.

4. Data residency questions. When Nango syncs data, records pass through Nango's infrastructure. For teams selling into healthcare, finance, or EU-regulated industries, that intermediate data layer introduces compliance conversations that slow down deals.

The 3 Architectural Approaches to B2B Integrations

Before comparing specific tools, it helps to understand the three fundamental models for product integrations. Each makes different trade-offs between speed, depth, and maintenance cost.

Postman's 2025 State of the API Report shows that 82% of organizations have adopted some level of an API-first approach, a 12% increase from 2024 — driven heavily by AI agent use cases that need programmatic access to customer data across tools. This accelerating shift is pushing teams toward platforms that minimize the code required to connect to third-party APIs.

graph LR
    A["Code-First<br>(Nango, Ampersand)"] -->|"Max control<br>Max maintenance"| D[Your Product]
    B["Embedded iPaaS<br>(Paragon, Workato)"] -->|"Visual workflows<br>Less API depth"| D
    C["Declarative Unified API<br>(Truto, Merge)"] -->|"Fastest time-to-market<br>Normalized schemas"| D

Here's the short version: Code-first gives you maximum control and maximum maintenance. You're essentially building an in-house integration team, just with better tooling. Embedded iPaaS is excellent for low-code orchestration but frustrating for developers who need strict version control and complex data normalization. Declarative unified APIs offer incredible velocity — you build one integration and instantly support dozens of tools — with the historical drawback of schema rigidity, though modern platforms have solved this with declarative overrides.

Top 5 Nango Alternatives Evaluated

1. Truto — Declarative Unified API with Zero Data Retention

Best for: Engineering teams that want to ship 50+ integrations immediately, eliminate the maintenance burden of custom code, and pass strict enterprise security reviews.

Truto takes a fundamentally different architectural approach from Nango. Where Nango requires you to write TypeScript for every integration, Truto uses declarative configuration and JSONata mapping expressions to define how unified data models translate to provider-specific APIs. The entire execution pipeline is generic — the same code path handles HubSpot, Salesforce, BambooHR, and every other provider. Adding a new provider or supporting a customer's custom Salesforce fields is a configuration change, not a code deployment.

Key differentiators:

• Zero data retention: Truto operates as a real-time pass-through proxy. API calls go directly to the source system, and no customer PII is stored in Truto's infrastructure. This dramatically simplifies enterprise security reviews and compliance with regulations like HIPAA and GDPR.
• Per-customer config overrides: A 3-level override hierarchy lets you handle bespoke enterprise field mappings without forking integration logic. Customer A's Salesforce org with 47 custom fields gets its own mapping config; Customer B's vanilla setup uses the default. Same integration, different behavior, no code branches.
• Real-time proxy API: Instead of relying on scheduled syncs that might be 15–60 minutes stale, Truto queries the source API in real-time and normalizes the response on the fly. If you need to access an obscure endpoint not covered by the unified model, the proxy gives you direct authenticated access to the underlying API without managing auth headers.
• Native MCP server support: For teams building AI agent workflows, Truto exposes integrations as MCP-compatible tools out of the box.

Trade-offs to consider: If your team specifically wants to own integration logic in code — because your integrations are the product, not a supporting feature — Truto's declarative model may feel less familiar. You're trading direct control of the execution logic for the elimination of the maintenance burden that comes with it.

Pricing: Flat, predictable pricing that doesn't penalize you for integration adoption growth. No per-connection surcharges, no compute-time metering.

For a deep technical comparison, see our full Truto vs Nango architecture teardown.

2. Merge.dev — Unified API with Store-and-Sync Architecture

Best for: Teams that need standard HRIS, ATS, or accounting integrations quickly and aren't yet hitting enterprise-edge customization needs.

Merge is the most well-known unified API platform. They provide pre-built common data models across categories like HR, recruiting, accounting, and ticketing. You integrate once with Merge's API, and they handle the translation to individual providers.

However, Merge operates on a store-and-sync architecture. They pull your customers' data from third-party APIs, store it in their own databases, and serve it to you. This creates latency, introduces data staleness, and raises a third-party security risk that enterprise buyers will scrutinize.

The most significant drawback is the pricing model. As we detailed in our guide to Merge.dev alternatives, Merge charges $65 per linked account per month, and each customer connection counts separately — if one customer connects three integrations, you pay three times. Do the math: 100 customers connecting 2 integrations each puts you at roughly $13,000/month, or $156,000 annually, just in connection fees.

Strengths:

• Mature product with strong brand recognition and excellent documentation
• Good observability tooling and integration management dashboard
• Normalized webhooks for cached data changes

Limitations:

• Per-connection pricing destroys unit economics at scale
• Store-and-sync architecture fails strict enterprise security reviews
• Rigid schemas struggle with deep custom field requirements; passthrough APIs exist but defeat the purpose of using a unified API

3. Paragon — Embedded iPaaS with Visual Workflow Builder

Best for: Product teams where non-developers need to configure integration workflows, and you want a white-labeled integration marketplace.

Paragon takes a completely different approach. Instead of a developer-focused API, Paragon is an embedded iPaaS platform designed for SaaS teams that want complete control over the integration experience, blending a drag-and-drop workflow builder with code-native flexibility. Your customers open an embedded UI, authenticate their third-party tool, and can often map fields themselves using a visual interface.

Paragon lets developers write integration logic in code, then view the same workflow in a visual builder while syncing everything to GitHub for proper version control. This hybrid approach is the main thing that separates Paragon from older iPaaS platforms. It excels at multi-step workflow automation — think "When a ticket is updated in Zendesk, post a message in Slack."

Strengths:

• Visual builder empowers PMs and support teams to build integrations
• Strong white-label capabilities with Connect Portal for end-user auth
• 130+ pre-built connectors with a custom connector SDK
• Supports MCP servers for AI agent workflows

Limitations:

• Opaque pricing — neither the Pro nor Enterprise plan publishes specifics until you talk to sales, with estimates ranging from roughly $500 to $3,000+ per month based on connected users
• If your integration needs are primarily "read data from CRM, normalize it, use it in my product," the workflow orchestration engine adds unnecessary complexity compared to a direct unified API
• Heavy iframe embeds can impact application performance
• Logic living in a visual builder rather than in version-controlled code frustrates developers building complex data syncs

4. Ampersand — Code-First Platform for Deep CRM Integrations

Best for: Teams building deep, bidirectional Salesforce and HubSpot integrations where custom object support is the primary requirement.

Ampersand provides a developer-centric platform designed to facilitate the creation of native, bi-directional product integrations with customers' CRM and Go-To-Market (GTM) applications. It uses a declarative manifest file (amp.yaml) to define which objects, fields, and operations to expose, and offers embeddable UI components that allow end-users to map their own custom Salesforce fields to your application's schema.

Strengths:

• Deep, specialized support for Salesforce and HubSpot with native custom object handling
• Moves customer-specific customizations from code into configuration, letting you scale integrations across hundreds of customers without drowning in custom code
• Usage-based pricing measured in gigabytes of data delivered, aligning cost with actual value
• Open-source connectors library

Limitations:

• Narrow category coverage — focuses on CRM and go-to-market applications. If you also need HRIS, accounting, ticketing, or file storage integrations, you'll need a second platform.
• Still relatively early-stage with around 545 LinkedIn followers, suggesting a smaller community and ecosystem compared to established alternatives
• For most B2B SaaS, integration needs span multiple categories, so Ampersand solves only part of the puzzle

5. Unified.to — Real-Time Unified API with Broad Category Coverage

Best for: Teams that want a real-time, pass-through unified API with broad category coverage and transparent pricing.

Unified.to offers 424 integrations across 25 API categories with a zero-data-storage architecture similar to Truto's approach. Every request goes directly to the source system with no intermediate caching. They've heavily positioned themselves toward AI agents, offering native Model Context Protocol (MCP) server support to allow LLMs to read and write data to third-party tools.

Strengths:

• Massive catalog spanning many obscure software categories
• Data is never stored or cached — Unified.to fetches data from the source in real-time
• Transparent usage-based pricing that scales with API volume, not customer count
• Native MCP support for AI agent workflows

Limitations:

• Some analysts note that Unified.to has prioritized offering as many integrations as possible at the expense of providing deep coverage. For enterprise customers with heavily customized CRM instances, shallow integrations won't cut it.
• Smaller enterprise track record — as a younger platform, Unified.to has less proven scale at high data volumes compared to Merge or Truto
• Some users report the platform can feel restrictive for niche use cases that sit outside their core integration model. If you're hitting these constraints, see our breakdown of the top Unified.to alternatives.

The Hidden Costs of TypeScript Integration Frameworks

The appeal of code-first platforms like Nango is the illusion of control. The pitch sounds great in a sprint planning meeting: "We'll own the code, we'll have full control, we'll deploy through our existing CI/CD."

Here's what happens at month six.

Your largest enterprise customer runs a Salesforce org with custom objects for their proprietary sales methodology. They need fields like Deal_Risk_Score__c and Procurement_Contact__c mapped into your product. On Nango, this means writing custom TypeScript to fetch metadata, discover custom fields, and transform the data — per customer.

Schema normalization is the hardest problem in SaaS integrations. In a code-first environment, your TypeScript sync script expects a standard Company object from Salesforce. But each enterprise customer has heavily customized their instance — renamed standard fields, added required custom validation rules, nested critical data inside proprietary objects. To support them, your developer adds conditional logic:

// The Code-First Maintenance Trap
async function syncSalesforceAccount(accountPayload, customerId) {
  let normalizedCompany = {
    name: accountPayload.Name,
    domain: accountPayload.Website
  };
 
  // Enterprise Customer A needs custom field mapping
  if (customerId === 'tenant_123') {
    normalizedCompany.industry = accountPayload.Custom_Industry__c;
    normalizedCompany.revenue = accountPayload.AnnualRevenue_Custom__c;
  }
  
  // Enterprise Customer B needs different custom field mapping
  if (customerId === 'tenant_456') {
    normalizedCompany.industry = accountPayload.Sector__c;
    // Customer B has a nested object for revenue...
    const revenueData = await fetchCustomObject(accountPayload.Id);
    normalizedCompany.revenue = revenueData.Amount;
  }
 
  return saveToDatabase(normalizedCompany);
}

This is technical debt in its purest form. Multiply that by twenty enterprise customers, each with their own Salesforce customizations, and this file becomes thousands of lines of brittle, unmaintainable conditionals. Every time Salesforce updates an API version, you have to regression test the entire file. You're not building product anymore. You're running an integration services shop.

The total cost of ownership isn't just the platform fee. It's:

• Engineer time maintaining and debugging TypeScript sync scripts across providers
• Incident response when a provider changes their API and your sync breaks at 2 AM
• Per-customer customization that can't be handled through configuration alone
• Security review overhead explaining where synced data is stored and for how long

Declarative platforms solve this by separating the mapping configuration from the execution logic. The platform handles the API execution generically. The mapping is defined in a JSONata expression that can be overridden at the tenant level without touching application code. A per-customer field mapping is a config override, not a code fork. You maintain zero integration-specific logic in your codebase.

How to Choose the Right Infrastructure for Your Scale

Gartner predicts that through 2028, over 70% of organizations will centralize SaaS application management using a SaaS management platform, an increase from less than 30% in 2025. The volume of APIs your application must interact with is only going to increase. Choosing the right infrastructure today prevents a massive migration project tomorrow.

Questions to ask before you commit:

1. How many integrations do you need in 12 months? If it's fewer than five, code-first is manageable. If it's twenty or more, the maintenance math favors declarative platforms.
2. Do your enterprise customers have heavily customized CRM/HRIS instances? If yes, you need per-customer field mapping that doesn't require code deployments.
3. Does your security team care about data residency? If synced customer PII sitting in a vendor's database is a problem, zero-data-retention architectures are worth the trade-off.
4. Are you building AI agent features? If so, real-time data access and MCP server support should be on your evaluation checklist. Stale synced copies cause hallucination issues in RAG pipelines and agent tool calling, as we cover in our guide to integration alternatives for AI agents.

What This Means for Your Integration Strategy

The integration infrastructure market in 2026 has matured past the "one size fits all" phase. Code-first platforms like Nango serve a valid niche. Embedded iPaaS tools like Paragon solve a different problem entirely. Unified APIs vary wildly in architectural approach, depth, and pricing model.

The right choice depends on where your product sits on the spectrum between "integrations as a supporting feature" and "integrations as the product." For most B2B SaaS teams, integrations fall into the first category — and the engineering effort should reflect that.

If you're hitting the scaling limits of a code-first approach — growing TypeScript maintenance, unpredictable bills, compliance friction — it's worth evaluating whether a declarative, zero-data-retention architecture can ship the same integrations with less ongoing cost.