You’ve likely come across Fivetran and Workato when exploring data integration tools for your business. Both these tools are top data integration choices, but they solve different problems.

Fivetran is built for reliable, automated data integration into cloud warehouses. Workato, on the other hand, excels in complex workflows and app-to-app automation.

Choosing the right one depends on your goals, stack, and how much control you need over data movement and logic.

So, how do you choose between Fivetran vs Workato? 

By the end of this article, you will know exactly which tool fits your use case and budget, and when to consider a better alternative.

Let’s get to it.

What Is Fivetran?

Fivetran Platform
Source

G2 Rating: 4.3 (788)

Gartner Rating: 4.6 (296)

Fivetran is a no-code ELT data integration platform that makes data movement easy, reliable, and maintenance-free. It supports 700+ pre-built, automated connectors across cloud apps, databases, file systems, and more. It allows you to pull data from virtually any source.

Don’t want to keep updating pipelines? Fivetran adapts to schema changes, ensuring your data pipeline updates independently.

Fivetran is best for teams seeking automated data ingestion to support modern analytics demands without losing control over data. It ensures accurate data is always available in your cloud destination without any pipeline breaks. This allows your teams to focus on advanced data initiatives.

Key features of Fivetran

  • ELT approach: Follows an Extract, Load, Transform (ELT) model and loads raw data first for complete data control.
  • Managed transformations: Offers native integrations with tools like dbt core to perform in-warehouse transformations.
  • Incremental data loading: Only moves new or updated data to reduce data volume and keep costs predictable.
  • Parallel data processing: Uses a scalable architecture to process large datasets simultaneously from various sources.
  • Historical data backfills: Supports full historical syncs from data sources, allowing access to legacy data when needed.

Use cases

  • Centralizing SaaS data for analytics: Sync data from tools like Salesforce, Google Ads, and HubSpot for unified reporting.
  • Real-time database replication: Move changes from MySQL or PostgreSQL into destinations for live analytics.
  • Automating finance and ops reporting: Pull ERP and operational platform data to simplify monthly close and performance tracking.
  • Feeding machine learning pipelines: Automate ingestion to provide clean, up-to-date data to ML models.

Pricing

Fivetran offers a 14-day free trial and charges you by Monthly Active Rows (MAR).

  • Free plan: Monthly limit of 500,000 MAR and 5,000 model runs.
  • Standard: Starts at $500 for the first million MAR.
  • Enterprise: Volume-based pricing with advanced features like 1-minute syncs and hybrid deployment.
  • Business Critical: Provides customer-managed keys for encryption and additional security.

Additional MAR increases costs.

Pros and cons

Pros:

  • Proactive monitoring and alerting.
  •  Handles large-scale data
  • SLA-backed data delivery.
  • Handles API changes.

Cons:

  • Pricing can scale up fast.
  • Limited custom transformations.
  • 1-minute data sync is limited to enterprise plans.
  • Limited support for on-premises sources

What Is Workato?

Workato UI
Source

G2 Rating: 4.7 (543)

Gartner Rating: 4.9 (452)

Workato is an Integration Platform as a Service (iPaaS) that unites AI agents and search with data from all apps, systems, and teams, without coding.

It has 1,200+ pre-built connectors for SaaS tools, databases, and cloud platforms. This means you can set up data flows quickly across platforms like CRMs, ERPs, and databases. It is ideal for IT, HR, finance, marketing, and sales teams who integrate data from multiple sources.

Workato is a strong choice if you need secure API access and automation without losing control over data workflows.

Key features of Workato

  • Workflow automation: Enables the creation of multi-step workflows, called recipes, that connect different applications to simplify complex business processes.
  • Real-time event processing: Supports event-driven automation, triggering actions instantly when specific conditions are met in connected systems.
  • API management capabilities: Exposes existing integrations as reusable APIs, allowing scalable automation and controlled access across teams.
  • Custom connector SDK: Provides a development kit for specialized tools to build custom connectors.
  • Version control and rollback: Includes tools to manage, track, and revert changes to integrations for error recovery and deployment.

Use cases

  • Automated employee onboarding: Connect HR and IT tools to auto-create accounts, assign devices, and trigger orientation workflows.
  • Sales and marketing alignment: Sync CRMs with marketing tools to update lead status, notify reps in real-time, and speed up conversations.
  • Order-to-cash automation: Link order systems with finance platforms to auto-generate invoices, track payments, and simplify reporting.
  • IT service management: Integrate tools like Jira, Slack, and ServiceNow to route tickets, escalate issues, and automate resolution workflows.

Pricing

  • Workato’s pricing follows a platform and usage-based model. Although the prices are custom-quoted, here’s how it works.
  • You pay for a single workspace and a chosen platform edition, plus additional costs based on your task consumption. Optional add-ons are also available.

Pros and cons

Pros:

  • AI-powered intelligent automation.
  • Flexible hybrid connectivity.
  • Built-in collaboration features for cross-functional teams.
  • Supports comprehensive activity audit logs.

Cons:

  • Pricing lacks transparency.
  • Not ideal for large-scale historical ETL.
  • Niche use cases may require coding.
  • SDK has a steep learning curve.


Fivetran vs Workato vs Hevo: Detailed Comparison Table

fivetranworkato logoHevo LogoTry Hevo for Free
Reviewsg2 rating
4.2 (400+ reviews)
g2 rating
4.7 (500+ reviews)
g2 rating
4.5 (250+ reviews)
Pricing
MAR-based pricing
Consumption-based pricing
Usage-based pricing
Free Plangreen-tick
red-cross
green-tick
Free Trialgreen-tick
14-day free trial
green-tick
Limited sandbox/demo available on request
green-tick
14-day free trial
Core functions
Automated ELT
iPaaS, App workflow automation
ELT/ ETL Automation
Ease of setupgreen-tick
No-code, easy setup
green-tick
No-code, easy setup
green-tick
No-code, easy setup
Data sources and connectors
700+ pre-built connectors
1200+ pre-built connectors
150+ pre-built connectors
Custom connector creation
Via SDK or Cloud function
Via SDK and API
Java-based SDK, REST API
Real-time syncingred-cross
Only available on Enterprise plans
green-tick
Real-time sync with CDC
green-tick
Real-time sync with CDC
Transformation capabilities
Post-load with dbt
In-workflow, pre- and post-load
Pre and post-load options
Operational workflowred-cross
Limited features
green-tick
Yes
red-cross
Not primary focus
Support SLAs
24/7 severity-based support
Live chat support, ticketing option
24/7 support within 1 hour
Deployment options
SaaS, Hybrid, Self-hosted via HVR
Cloud SaaS, On-premises agent
Cloud SaaS

Fivetran and Workato both offer competitive features. However, they both tend to get expensive unexpectedly and sometimes require technical skills or enterprise-level plans for critical features like real-time sync and support.

Hevo stands out as the more approachable and cost-effective option. It is the perfect fit for teams looking for simplicity, scalability, and complete control with a fully managed platform. This makes it one of the promising Workato and Fivetran alternatives.

Workato vs Fivetran: In-depth Feature & Use Case Comparison

Now, let’s dig deeper into the features and use cases of both the data pipeline tools and see which one has the upper hand.

1. Connector ecosystem

Fivetran: Offers 700+ fully managed connectors across databases, SaaS tools, and APIs, all tailored for high-volume ELT use. These connectors are optimized for schema mapping and syncing into warehouses.

Workato: Supports 1000+ connectors, with a strong focus on SaaS and application integrations for business workflows. It includes app-level actions like triggering workflows, not just extracting data.

It’s a tie! Fivetran wins if you are pulling raw data into a warehouse. Workato excels at app-to-app integrations.

quote icon
Fivetran\'s ease of use is definitely its standout feature. The platform is simple to navigate and doesn\'t require much manual intervention, which is great for streamlining data workflows. I also love the variety of connectors available—most of the tools I need are supported, and it\'s clear that Fivetran is continuously expanding its offerings. The managed aspect of the service means I don\'t have to worry about maintenance, and that’s a huge plus for saving time and resources.
Maris P.
DataOps Engineer
quote icon
Workato makes it easy to connect our core systems without heavy custom development. The pre-built connectors, especially for Salesforce, other SaaS apps, and the on-prem connector save us huge amounts of time. I also appreciate the intuitive recipe-building interface, which lets both technical and business users design automations. The platform scales well—from simple notifications to complex, multi-step integrations with error handling and approvals.
Verified User
Legal Services

2. Real-time capabilities

Fivetran: Works on a default 6-hour sync, but it can be changed to 5-minute or hourly syncs. However, real-time syncing is only available in its Enterprise and Business Critical plans and Fivetran HVR.

Workato: Built for event-driven real-time triggers. When something happens in one app, it can instantly execute a workflow in another.

So, Workato wins if timing is a priority to you.

quote icon
The real-time data syncing and error-handling capabilities are reliable and efficient, and the platform scales well with growing business needs.
Kaltoum
Associate at Information Services

3. Automated data quality and pipeline maintenance

Fivetran: Automatically detects schema changes, flags unusual patterns, and includes built-in recovery features. Pipelines self-heal during source-side changes like schema drift or API updates.

Workato: Provides automation log and error handling, but pipeline-level diagnostics, schema handling, and recovery aren’t a focus, compared to other Workato alternatives.

Fivetran wins for having stronger reliability and automated maintenance for large data volumes.

quote icon
Fivetran truly simplifies the process of connecting and syncing data across systems. Its out-of-the-box connectors are very robust, requiring minimal setup and almost no ongoing maintenance. I especially appreciate the automated schema management and the reliability of the pipelines — once configured, they just work without needing babysitting.
Verified User
Insurance

4. Data movement direction

Fivetran: Transfers data primarily one way, mainly from source to target warehouse. It can function as one of the reverse ETL tools, but only through third-party integration.

Workato: Built for two-way data sync between apps and platforms, enabling data to move in and out of systems smoothly.

Workato wins since it’s more versatile for operational automation and syncing use cases.

quote icon
The ability to move data from one source to another while performing complex transformation in the process in an easy logic format is game changing.
Data Analyst
Software

5. Transformation approach

Fivetran: Supports dbt for post-load transformations after the data lands in your warehouse. This works well for analytics and reporting.

Workato: Allows transformation as data moves between apps, which is ideal for real-time decisions or clearing up data on the fly. 

The choice depends on your goal. If you’re preparing data for dashboards and analysis, Fivetran plus dbt is a strong combo. However, Workato’s in-flight transformations are more useful for quick operational tasks.

quote icon
I love how easy the transformations to get reporting set up is; once created, doing a dbt core job on the data to create reports is very simple with the Fivetran ads dbt packages.
Alec R
Data Engineer
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Overall it\'s been a good experience with Fivetran. It\'s probably the easiest ETL tool I\'ve used with all the needed connectors to get our data into the data warehouse and no coding is needed. It\'s definitely a better alternative to hiring your own data engineering team and more cost-efficient too! We do sometimes have issues with sync delays but it\'s nice to be notified if there are any sync issues (although the errors aren\'t always useful). I\'d say it\'s reasonably priced but wouldn\'t call it a bargain software by any means.
Biz Ops
IT

6. Pricing model

Fivetran:  Fivetran’s pricing is decided on monthly active rows (MAR). It’s unpredictable and can grow costly with high-volume syncs.

Workato: Pricing is based on platform, usage, and add-ons. It starts simply, but can become complicated and expensive as more teams adopt it.

It’s a tie. Neither wins for predictability, and they can become costly if not monitored constantly. However, Fivetran can work well for companies with controlled and predictable data volumes. Workato can also be suitable if you have clear limits on automation and integration scale.

quote icon
Overall it\'s been a good experience with Fivetran. It\'s probably the easiest ETL tool I\'ve used with all the needed connectors to get our data into the data warehouse and no coding is needed. It\'s definitely a better alternative to hiring your own data engineering team and more cost-efficient too! We do sometimes have issues with sync delays but it\'s nice to be notified if there are any sync issues (although the errors aren\'t always useful). I\'d say it\'s reasonably priced but wouldn\'t call it a bargain software by any means.
Biz Ops
IT
quote icon
Initially we had slightly preferred the competitor purely from a pricing perspective. However, the negotiation on contracts with the competitor did not go well, whereas with Workato they listened to our concerns about the pricing model and accommodated our requirements to a point where we were satisfied. Their expertise, personal touch, and customer service is excellent. When we\'ve required their assistance they\'ve duly delivered.
HEAD OF SYSTEMS & IT
Retail

Want to know how Hevo performs in all these use cases? Check out this Hevo vs Fivetran comparison for a similar analysis.

When to Choose Fivetran?

Go for Fivetran when you want a no-code ELT platform that easily replicates data from SaaS tools and databases into a warehouse with little effort. It’s ideal for analytics and business intelligence teams that don’t want to manage infrastructure.

However, it’s more suited for straightforward ELT use cases. If your integration needs involve conditional logic or on-premise systems, Fivetran may feel limited in terms of flexibility and control.

When to Choose Workato?

Choose Workato when your use case goes beyond replication and involves complex workflows across business apps. It’s built to automate multi-step business processes, like syncing leads between CRM and marketing tools or triggering actions based on user behavior.

It is especially useful for IT and operations teams that want to orchestrate events across systems with logic-heavy flows. While the initial setup is smooth and easy, you might need some technical understanding for custom integrations.

Why Does Hevo Stand Out?

Hevo UI
Image Source

Hevo combines ease of use with adaptability, an uncommon mix lacking in Fivetran and Workato. It offers real-time data movement in a unified, no-code platform that requires minimal technical effort.

Fivetran often struggles with evolving source schemas. Hevo handles such changes gracefully, reducing breakages and maintenance. Unlike Workato, Hevo doesn’t demand complex logic building or deep integration expertise.

With Hevo, you get integrated transformations, live error monitoring, and deep visibility without any extra platforms. It’s transparent, subscription-based pricing ensures predictability, with faster syncing available even in the lowest-priced Starter plan.

In short, Hevo gives you the power of both automation and control, minus the unpredictability and ongoing engineering involvement.

Want to give it a shot? Sign up for Hevo’s 14-day free trial.

FAQs on Fivetran vs Workato

Q1. How are Fivetran and Workato different?

Fivetran is an ELT tool that moves data from multiple sources into a warehouse with little setup, making it suitable for batch-heavy analytics use cases. Workato is an integration and automation platform focused on app-to-app workflows. It is ideal for automating business processes across applications.

Q2. Are Fivetran and Workato no-code platforms?

Both are no-code platforms with options to code for more technical flexibility.
Fivetran doesn’t require coding for basic usage. However, advanced use cases, like custom transformations in dbt, may require SQL knowledge or technical support. It’s geared towards technical users.
Workato helps you drag and drop triggers and actions to build integrations (recipes) without writing code. However, it also allows for scripting and custom logic for complex workflows.

Q3. Which is better for data integration, Fivetran or Workato?

Fivetran stands out in analytics-focused data integration, thanks to ready-made connectors, automatic schema management, and hands-off ELT workflows. Workato is more versatile for automating tasks and integrating SaaS apps. Choose Fivetran for warehousing needs and Workato for orchestrating business logic across systems.

Q4. Between Fivetran and Workato, which data integration tool is more affordable?

Both provide an unpredictable pricing model. Its pricing depends on data volume, which means costs can climb as usage scales. Workato charges based on platform, usage, and add-ons, which can become expensive as workflows scale.
Affordability depends on your use case. Fivetran may be more cost-effective for consistent and stable data volumes. Workato may be valuable in extensive process automation.

Sarthak Bhardwaj
Customer Experience Engineer, Hevo

Sarthak is a skilled professional with over 2 years of hands-on experience in JDBC, MongoDB, REST API, and AWS. His expertise has been instrumental in driving Hevo's success, where he excels in adept problem-solving and superior issue management. Sarthak's technical proficiency and strategic approach have consistently contributed to optimizing operations and ensuring seamless performance, making him a vital asset to the team.